Member Publications

Yao, N., Li, L., Gao, Z., Zhao, C., Li, Y., Han, C., Nan, J., Zhu, Z., Xiao, Y., Zhu, F., Zhao, M., & Zhou, W. (2023). Deep learning-based diagnosis of disease activity in patients with Graves’ orbitopathy using orbital SPECT/CT. European Journal of Nuclear Medicine and Molecular Imaging.

Rezaeitaleshmahalleh, M., Mu, N., Lyu, Z., Zhou, W., Zhang, X., Rasmussen, T., McBane, R., & Jiang, J. (2023). Radiomic-based Textural Analysis of Intraluminal Thrombus in Aortic Abdominal Aneurysms: A Demonstration of Automated Workflow. Journal of Cardiovascular Translational Research. 

Pakhrin, S. C., Pokharel, S., Pratyush, P., Chaudhari, M., Ismail, H., & KC, D. (2023). LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model. Journal of proteome research.

Rezaeitaleshmahalleh, M., Lyu, Z., Mu, N., Zhang, X., Rasmussen, T., McBane, R., & Jiang, J. (2023). Characterization of small abdominal aortic aneurysms' growth status using spatial pattern analysis of aneurismal hemodynamics. Scientific Reports, 13(1).

Lyu, Z., King, K., Rezaeitaleshmahalleh, M., Pienta, D., Mu, N., Zhao, C., Zhou, W., & Jiang, J. (2023). Deep-learning-based Image Segmentation for Image-based Computational Hemodynamic Analysis of Abdominal Aortic Aneurysms: A Comparison Study. Biomedical physics & engineering express, 9(6).

Cao, X., Zhang, L., Islam, M. K., Zhao, M., He, C., Zhang, K., Liu, S., Sha, Q., & Wei, H. (2023). TGPred: efficient methods for predicting target genes of a transcription factor by integrating statistics, machine learning and optimization. NAR genomics and bioinformatics, 5(3), lqad083. 

Gallegos, I., Kemppainen, J., Gissinger, J., Kowalik, M., van Duin, A., Wise, K., Gowtham, S., & Odegard, G. (2023). Establishing Physical and Chemical Mechanisms of Polymerization and Pyrolysis of Phenolic Resins for Carbon-Carbon Composites. Carbon Trends, 12.

Carney, K. R., Khan, A. M., Stam, S., Samson, S. C., Mittal, N., Han, S. J., Bidone, T. C., & Mendoza, M. C. (2023). Nascent adhesions shorten the period of lamellipodium protrusion through the Brownian ratchet mechanism. Molecular biology of the cell, mbcE23080314.

Zhang, X., Gosnell, J., Nainamalai, V., Page, S., Huang, S., Haw, M., Peng, B., Vettukattil, J., & Jiang, J. (2023). Advances in TEE-Centric Intraprocedural Multimodal Image Guidance for Congenital and Structural Heart Disease. Diagnostics (Basel, Switzerland), 13(18).

Postiglione, A., Adams, L., Ekhator, E., Odelade, A., Patwardhan, S., Chaudhari, M., Pardue, A., Kumari, A., LeFever, W., Tornow, O., Kaoud, T., Neiswinger, J., Jeong, J., Parsonage, D., Nelson, K., KC, D., Furdui, C., Zhu, H., Wommack, A., Dalby, K., Dong, M., Poole, L., Keyes, J., & Newman, R. (2023). Hydrogen peroxide-dependent oxidation of ERK2 within its D-recruitment site alters its substrate selection. iScience, 26(10).

Mattey, R., Jewell, B., Ghosh, S., & Sain, T. (2023). Phase-field fracture coupled elasto-plastic constitutive model for 3D printed thermoplastics and composites. Engineering Fracture Mechanics, 291.

Kemppainen, J., Gallegos, I., Krieg, A. S., Gissinger, J. R., Wise, K. E., Kowalik, M., King, J. A., Gowtham, S., van Duin, A., & Odegard, G. M. (2023). Evolution of Glassy Carbon Derived from Pyrolysis of Furan Resin. ACS applied engineering materials, 1(10), 2555-2566.

Zhao, Z., Wang, C., Peng, Z., Bu, J., Li, C., Li, D., Zhou, W., Lu, R., Tang, L., & Li, Y. (2023). The influence of arm positions on mechanical dyssynchrony measured by gated myocardial perfusion imaging. Quantitative Imaging in Medicine and Surgery, 13(10), 6698-6709.

Mu, N., Lyu, Z., Zhang, X., McBane, R., Pandey, A. S., & Jiang, J. (2023). Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature. Computers in biology and medicine, 167, 107648.

Bos, J., & Weng, W. (2023). Assessing the effects of severe winter weather on automotive lidar. Proceedings of SPIE - The International Society for Optical Engineering, 12691.

Zhao, C., Xu, Z., Jiang, J., Esposito, M., Pienta, D., Hung, G., & Zhou, W. (2023). AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms. Pattern recognition, 143.

Zhao, C., Xu, Z., Hung, G., & Zhou, W. (2023). EAGMN: Coronary artery semantic labeling using edge attention graph matching network. Computers in Biology and Medicine, 166.

Alkhouli, M., Alarouri, H., Kramer, A., Korsholm, K., Collins, J., De Backer, O., Hatoum, H., & Nielsen-Kudsk, J. (2023). Device-Related Thrombus After Left Atrial Appendage Occlusion: Clinical Impact, Predictors, Classification, and Management. JACC: Cardiovascular Interventions, 16(22), 2695-2707.

Pokharel, S., Pratyush, P., Ismail, H., Ma, J., & KC, D. (2023). Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction. International Journal of Molecular Sciences, 24(21).

Meng, Y., Du, Z., Zhao, C., Dong, M., Pienta, D., Tang, J., & Zhou, W. (2023). Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms. Technology and Health Care, 31(6), 2303-2317. 

Vogl, B., Sularz, A., Lilly, S., Thourani, V. H., Lindman, B. R., Alkhouli, M., & Hatoum, H. (2023). Effect of Blood Pressure Levels on Sinus Hemodynamics in Relation to Calcification After Bioprosthetic Aortic Valve Replacement. Annals of biomedical engineering.

Ashikuzzaman, M., Peng, B., Jiang, J., & Rivaz, H. (2023). Alternating direction method of multipliers for displacement estimation in ultrasound strain elastography. Medical physics.

Ding, X., Zhang, Z., Kluka, C., Asim, S., Manuel, J., Lee, B., Jiang, J., Heiden, P., Heidt, C. L., & Rizwan, M. (2024). Pair of Functional Polyesters That Are Photo-Cross-Linkable and Electrospinnable to Engineer Elastomeric Scaffolds with Tunable Structure and Properties. ACS Applied Bio Materials.

Mittal, N., Michels, E., Massey, A., Qiu, Y., Royer-Weeden, S. P., Smith, B., Cartagena-Rivera, A., & Han, S. J. (2024). Myosin-independent stiffness sensing by fibroblasts is regulated by the viscoelasticity of flowing actin. Communications Materials, 5(1).

Cao, X., Keyak, J., Sigurdsson, S., Zhao, C., Zhou, W., Liu, A., Lang, T., Deng, H., Gudnason, V., & Sha, Q. (2024). A new hip fracture risk index derived from FEA-computed proximal femur fracture loads and energies-to-failure. Osteoporosis International.

Chandurkar, M., Mittal, N., Royer-Weeden, S. P., Lehmann, S. D., Rho, Y., & Han, S. J. (2024). Low Shear in Short-Term Impacts Endothelial Cell Traction and Alignment in Long-Term. bioRxiv : the preprint server for biology.

Lo Russo, G. V., Alarouri, H. S., Al-Abcha, A., Vogl, B., Mahayni, A., Sularz, A., Hatoum, H., Collins, J., Crestanello, J. A., & Alkhouli, M. (2024). Association of Bovine Arch Anatomy With Incident Stroke After Transcatheter Aortic Valve Replacement. Journal of the American Heart Association, 13(4), e032963.

Lo Russo, G. V., Alarouri, H. S., Al-Abcha, A., Vogl, B., Mahayni, A., Sularz, A., Hatoum, H., Collins, J., Crestanello, J. A., & Alkhouli, M. (2024). Association of Bovine Arch Anatomy With Incident Stroke After Transcatheter Aortic Valve Replacement. Journal of the American Heart Association, 13(4), e032963.

Chandurkar, M. K., Mittal, N., Royer-Weeden, S. P., Lehmann, S. D., Michels, E. B., Haarman, S. E., Severance, S. A., Rho, Y., & Han, S. J. (2024). Transient Low Shear Stress Preconditioning Influences Long-term Endothelial Traction and Alignment under High Shear Flow. American journal of physiology. Heart and circulatory physiology.

Radke, M., Sulejmani, F., Vogl, B., & Hatoum, H. (2024). Integrating Cardiovascular Engineering and Biofluid Mechanics in High School STEM Education: An Experiential Approach. Journal of biomechanical engineering, 1-23.

Loughlin, H., Jackson, J., Looman, C., Starll, A., Goldman, J., Shan, Z., & Yu, C. (2024). Aerobic exercise improves depressive symptoms in the unilateral 6-OHDA-lesioned rat model of Parkinson's disease. IBRO Neuroscience Reports, 16, 468-475.

Zhu, F., Tian, Y., Han, C., Li, Y., Nan, J., Yao, N., & Zhou, W. (2024). Model-level attention and batch-instance style normalization for federated learning on medical image segmentation. Information Fusion, 107.

Bettin, B. C., Sarabia, A., Gonzalez, M., Gatti, I., Magnan, C., Murav, N., Vanden Heuvel, R., McBride, D., & Abraham, S. (2023). Say What You Meme: Exploring Memetic Comprehension Among Students and Potential Value of Memes for CS Education Contexts. ICER 2023 - Proceedings of the 2023 ACM Conference on International Computing Education Research V.1, 416-429.

Albrant, L., Pendse, P., Dasker, D., Brown, L., Sticklen, J., Jarvie-Eggart, M. E., & Ureel, L. C. (2024). Work-in-Progress: Python Code Critiquer, a Machine Learning Approach. Proceedings - Frontiers in Education Conference, FIE.

Amato-Henderson, S. L., & Sticklen, J. (2024). A Replication Study: Validation of the 19-item Short Form for the MUSIC Inventory for Engineering Student Engagement. Proceedings - Frontiers in Education Conference, FIE.

Jarvie-Eggart, M. E., May, D., Mayoki, D., Carlson, K., & Smith, L. (2024). Co-sharing secondary qualitative research data to understand technology adoption in engineering education courses. Proceedings - Frontiers in Education Conference, FIE.

Fiss, L., Hamlin, B., Love, H., Ott, L., Wallace, C., & Walton, S. A. (2024). Beyond Summer Reading: Enabling Covert Student Learning Through a Cross-Campus Connecting Theme. Proceedings - Frontiers in Education Conference, FIE.

Benjamin, M., Brown, L., Sticklen, J., Ureel, L. C., & Jarvie-Eggart, M. E. (2024). Engaging Novice Programmers: A Literature Review of the Effect of Code Critiquers on Programming Self-efficacy. Proceedings - Frontiers in Education Conference, FIE.

Ciminski, A., & Wallace, C. (2024). The role of peer dialogue as disruptor in critical ethical analysis for computing students. Proceedings - Frontiers in Education Conference, FIE.

Teahen, J., Masker, D., Ureel, L. C., Jarvie-Eggart, M. E., Sticklen, J., & Brown, L. (2024). Extending the Usability of WebTA with Unified ASTs and Errors. Proceedings - Frontiers in Education Conference, FIE.

Albrant, L., Pendse, P., Brown, L., Sticklen, J., Jarvie-Eggart, M. E., & Ureel, L. C. (2024). Work-in-Progress: Preliminary Work Introducing Automated Code Critiques in First-Year Engineering MATLAB Programming. Proceedings - Frontiers in Education Conference, FIE.

McGowan, S. E., Gilfanov, N., Chandurka, M. K., Stiber, J. A., & Han, S. J. (2024). Drebrin Is Required for Myosin-facilitated Actin Cytoskeletal Remodeling During Pulmonary Alveolar Development. American journal of respiratory cell and molecular biology.

Nyansa, M., Burrows, N., Galerneau, A., Bekkala, A., & Hungwe, K. (2024). Beyond Intentions: Understanding the Gap between Safety Education and Student Behaviors. Journal of Chemical Education, 101(3), 798-806.

Morelock, J., Jarvie-Eggart, M. E., Chenette, H., Hooshangi, S., Chestnutt, B., Wilson, S., Bolhari, A., Dodson, K., Pavlova, I., & Reck, R. (2025). Learn How to Design High-Quality Qualitative Educational Research! - A Workshop for Disciplinary STEM Faculty by Disciplinary STEM Faculty. Proceedings - Frontiers in Education Conference, FIE.

Chen, T., & Goodwine, B. (2023). Global and Almost-Global Controllability of Underactuated Mechanical Systems by Using Time-Reversal Symmetry. Proceedings of the American Control Conference, 2023-May, 897-902.

Huang, Z., Mun, Y., Li, X., Xie, Y., Zhong, N., Liang, W., Geng, J., Chen, T., & Driggs-Campbell, K. (2023). Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. Proceedings - IEEE International Conference on Robotics and Automation, 2023-May, 9821-9828. 

Liu, Z., Park, M., & Bae, J. (2023). A Heuristic for Multiple Heterogeneous Mobile Robots Task Assignment under Various Loading Conditions considering Workload Balance. IEEE International Conference on Electro Information Technology, 2023-May, 294-299.

Motes, J., Chen, T., Bretl, T., Aguirre, M., & Amato, N. (2023). Hypergraph-Based Multi-robot Task and Motion Planning. IEEE Transactions on Robotics.

Su, P., Li, M., Dai, Q., & Wang, J. (2023). Mechanical and durability performance of concrete with recycled tire steel fibers. Construction and Building Materials, 394.

Lima, J., Costa, F., & Lopes, F. (2023). Two-terminal traveling-wave-based non-homogeneous transmission-line protection. Electric Power Systems Research, 223.

França, R., Silva, F., Costa, F., Strunz, K., & Rajapakse, A. (2023). One-terminal traveling wave-based transmission line protection for LCC-HVDC systems. Electric Power Systems Research, 223.

Al Maawali, W., Mesbah, M., Al Maashri, A., & Saleem, A. (2023). Design of intelligent thruster decision-making system for USVs. Ocean Engineering, 285.

Costa, F., Lima, J., Aziz Jahan, M., Lopes, F., Silva, K., & Dantas, K. (2023). Low-sampling frequency two-terminal traveling wave-based overhead transmission line protection. Electric Power Systems Research, 224. 

Fan, C., Wang, Z., & Yang, K. (2023). Energy-efficient underwater acoustic communication based on Dyna-Q with an adaptive action space. Physical Communication, 61.

Wang, J., Song, G., Li, Q., Guo, S., & Dai, Q. (2023). Rubber-concrete interface modification method and performance enhancement path. Huagong Jinzhan/Chemical Industry and Engineering Progress, 42, 328-343

Moro, V., Trindade, F., Costa, F. B., & Bonatto, B. (2024). Distributed generation hosting capacity analysis: An approach using interval-affine arithmetic and power flow sensitivities. Electric Power Systems Research, 226.

Zhang, Y., Xiao, B., & Li, X. (2024). Integrating Virtual Reality and Consensus Models for Streamlined Built Environment Design Collaboration. Journal of Construction Engineering and Management, 150(4). 

Guo, J., Liu, P., Xiao, B., Deng, L., & Wang, Q. (2024). Surface defect detection of civil structures using images: Review from data perspective. Automation in Construction, 158.

Chandurkar, M., Mittal, N., Royer-Weeden, S. P., Lehmann, S. D., Rho, Y., & Han, S. J. (2024). Low Shear in Short-Term Impacts Endothelial Cell Traction and Alignment in Long-Term. bioRxiv : the preprint server for biology.

Nguyen, V., Liu, X., & Marvel, J. (2024). Augmented Reality Interface for Robot-Sensor Coordinate Registration. Journal of Computing and Information Science Engineering, 24(3).

Mondal, S., & Chen, B. (2024). Development of Autonomous Vehicle Motion Planning and Control Algorithms with D* Planner and Model Predictive Control. Lecture Notes in Networks and Systems, 825, 807-825.

Shi, M., Chen, C., Xiao, B., & Seo, J. (2024). Vision-Based Detection Method for Construction Site Monitoring by Integrating Data Augmentation and Semisupervised Learning. Journal of Construction Engineering and Management, 150(5).

Nguyen, V., Liu, X., & Marvel, J. (2024). Augmented Reality Interface for Robot-Sensor Coordinate Registration. Journal of Computing and Information Science Engineering, 24(3).

Zhang, Y., Chen, J., Liu, H., Chen, Y., Xiao, B., & Li, H. (2024). Recent advancements of human-centered design in building engineering: A comprehensive review. Journal of Building Engineering, 84.

Xu, L., Liu, H., Xiao, B., Luo, X., & Zhu, Z. (2024). Synthetic Simulated Data for Construction Automation: A Review. Construction Research Congress 2024, CRC 2024, 1, 527-536.

Fatima, K., Shareef, H., Costa, F., Bajwa, A., & Wong, L. (2024). Machine learning for power outage prediction during hurricanes: An extensive review. Engineering Applications of Artificial Intelligence, 133.

Le, J., Zhang, D., Lei, X., Jiao, L., Zeng, K., & Liao, X. (2023). Privacy-Preserving Federated Learning with Malicious Clients and Honest-but-Curious Servers. IEEE Transactions on Information Forensics and Security.

Ogunbunmi, S., Hatmai, M., Xu, R., Chen, Y., Blasch, E., Ardiles-Cruz, E., Aved, A., & Chen, G. (2024). A Lightweight Reputation System for UAV Networks. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 552 LNICST, 114-129.

Dafoe, J., Singh, H., Chen, N., & Chen, B. (2024). Enabling Real-Time Restoration of Compromised ECU Firmware in Connected and Autonomous Vehicles. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 552 LNICST, 15-33.

Qu, Q., Hatami, M., Xu, R., Nagothu, D., Chen, Y., Li, X., Blasch, E., Ardiles-Cruz, E., & Chen, G. (2024). The Microverse: A Task-Oriented Edge-Scale Metaverse. Future Internet, 16(2).

Lesko, D., & Nguyen, V. (2023). Assessing the subjective response of consumer product acoustic stimuli in the presence of background variables. Applied Acoustics, 211.

Kayastha, M., Liu, T., Titze, D., Havens, T. C., Huang, C., & Xue, P. (2023). Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach. Remote Sensing, 15(17). 

Gu, Y., Dai, J., & Vasarhelyi, M. (2023). Audit 4.0-based ESG assurance: An example of using satellite images on GHG emissions. International Journal of Accounting Information Systems, 50. 

Asadi, A., Baise, L., Sanon, C., Koch, M., Chatterjee, S., & Moaveni, B. (2023). Semi-Supervised Learning Method for the Augmentation of an Incomplete Image-Based Inventory of Earthquake-Induced Soil Liquefaction Surface Effects. Remote Sensing, 15(19).

Pour, A., Guha, A., Crispini, L., & Chatterjee, S. (2023). Editorial for the Special Issue Entitled Hyperspectral Remote Sensing from Spaceborne and Low-Altitude Aerial/Drone-Based Platforms—Differences in Approaches, Data Processing Methods, and Applications. Remote Sensing, 15(21).

Zhang, Z., Gu, Y., Jiang, L., Yu, W., & Dai, J. (2023). Internet of Things and Blockchain-Based Smart Contracts: Enabling Continuous Risk Monitoring and Assessment in Peer-to-Peer Lending. Journal of Emerging Technologies in Accounting, 20(2), 181-194.

Thaker, K., Chennupati, S., Rawashdeh, N., & Rawashdeh, S. (2024). Multispectral Deep Neural Network Fusion Method for Low-Light Object Detection. Journal of Imaging, 10(1).

Chatterjee, S., Karacan, C., & Mastalerz, M. (2024). Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA. International Journal of Coal Geology, 282.

Asadi, A., Baise, L., Koch, M., Moaveni, B., Chatterjee, S., & Aimaiti, Y. (2024). Pixel-based classification method for earthquake-induced landslide mapping using remotely sensed imagery, geospatial data and temporal change information. Natural Hazards.

Asadi, A., Baise, L., Chatterjee, S., Koch, M., & Moaveni, B. (2024). Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery. Georisk, 18(1), 186-210

Nowrin, S., & Vertanen, K. (2023). Programming by Voice: Exploring User Preferences and Speaking Styles. Proceedings of the 5th International Conference on Conversational User Interfaces, CUI 2023. 

Hoffman, R., Miller, T., Klein, G., Mueller, S., & Clancey, W. (2023). Increasing the Value of XAI for Users: A Psychological Perspective. KI - Kunstliche Intelligenz.

Blakely, M., Smith, S., Russell, P., & Helton, W. (2023). Dual-task effects between tone counting and mathematical calculations. Applied Ergonomics, 111.

Nadri, C., Lautala, P., Veinott, E., Mamun, T., Dam, A., & Jeon, M. (2023). Improving Safety at Highway-Rail Grade Crossings Using In-Vehicle Auditory Alerts. ACM International Conference Proceeding Series, 346-347.

Bonaker, N., Nel, E., Vertanen, K., & Broderick, T. (2023). A Usability Study of Nomon: A Flexible Interface for Single-Switch Users. ASSETS 2023 - Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility.

Zhu, L., Yan, S., Cao, X., Zhang, S., & Sha, Q. (2024). Integrating External Controls by Regression Calibration for Genome-Wide Association Study. Genes, 15(1).

Nowshin, F., Hongyu, A., & Yang, Y. (2024). Towards Energy-Efficient Spiking Neural Networks: A Robust Hybrid CMOS-Memristive Accelerator. ACM Journal on Emerging Technologies in Computing Systems, 20(1).

Zhao, C., Liu, A., Zhang, X., Cao, X., Ding, Z., Sha, Q., Shen, H., Deng, H., & Zhou, W. (2024). CLCLSA: Cross-omics linked embedding with contrastive learning and self attention for integration with incomplete multi-omics data. Computers in biology and medicine, 170, 108058.

Wang, Y., Yang, J., & Wang, Z. (2023). Multi-Tenant In-memory Key-Value Cache Partitioning Using Efficient Random Sampling-Based LRU Model. IEEE Transactions on Cloud Computing.

Mousavi, H., Ebnenasir, A., & Mahmoudzadeh, E. (2023). Formal Specification, Verification and Repair of Contiki's Scheduler. ACM Transactions on Cyber-Physical Systems, 7(4).

Lyu, X., Gagie, T., He, M., Nekrich, Y., & Zeh, N. (2024). Sum-of-Local-Effects Data Structures for Separable Graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14422 LNCS, 195-206.

Chi, Y., Yue, J., Liao, X., Liu, H., & Jin, H. (2024). A hybrid memory architecture supporting fine-grained data migration. Frontiers of Computer Science, 18(2).

Sha, S., Li, C., Wang, X. L., Wang, Z., & Luo, Y. (2024). Hardware-Software Collaborative Tiered-Memory Management Framework for Virtualization. ACM Transactions on Computer Systems, 42(1-2), 1-32

Namvaritazehkand, L., & Ebnenasir, A. (2024). A Novel Approach for Specification and Verification of Symmetric Distributed Algorithms Using SPIN. 2024 3rd International Conference on Distributed Computing and High Performance Computing, DCHPC 2024.

Kokate, P. P., Smith, M., Hall, L., Zhang, K., & Werner, T. (2022). Inter- and intraspecific variation in mycotoxin tolerance: A study of four Drosophila species. Ecology and Evolution, 12(7), e9126.

Yu, C., Jiang, T., Shoemaker, C., Fan, D., Rossi, M., & Yin, H. (2022). Striatal mechanisms of turning behaviour following unilateral dopamine depletion in mice. European Journal of Neuroscience, 56(5), 4529-4545.

Zhu, F., Gao, Z., Zhao, C., Zhu, H., Nan, J., Tian, Y., Dong, Y., Jiang, J., Feng, X., Dai, N., & Zhou, W. (2022). A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images. Ultrasonic imaging, 1617346221114137.

He, Z., Zhang, X., Zhao, C., Ling, X., Malhotra, S., Qian, Z., Wang, Y., Hou, X., Zou, J., & Zhou, W. (2022). A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response. Journal of Nuclear Cardiology.

Vogl, B., El Shaer, A., Ponce, A. C., Bavo, A., De Beule, M., Alkhouli, M., & Hatoum, H. (2022). TCT-380 Predicting Device-Related Thrombosis Using Computational Fluid Dynamics. Journal of the American College of Cardiology, 80(12), B153.

Asadbeygi, A., Lee, S., Kovalchin, J., & Hatoum, H. (2022). Predicting hemodynamic indices in coronary artery aneurysms using response surface method: An application in Kawasaki disease. Computer Methods and Programs in Biomedicine, 224.

Asadbeygi, A., Lee, S., Kovalchin, J., & Hatoum, H. (2022). TCT-174 Comparison of Thrombotic Risk Between Coronary Artery Aneurysm and Coronary Ectasia Based on Hemodynamic Parameters. Journal of the American College of Cardiology, 80(12), B70-B71.

Pokharel, S., Pratyush, P., Heinzinger, M., Newman, R., & KC, D. (2022). Improving protein succinylation sites prediction using embeddings from protein language model. Scientific Reports, 12(1).

Sunderland, K., Jia, W., He, W., Jiang, J., & Zhao, F. (2022). Impact of spatial and temporal stability of flow vortices on vascular endothelial cells. Biomechanics and Modeling in Mechanobiology. 

Yadav, U., & Ghosh, S. (2022). An atomistic-based finite deformation continuum membrane model for monolayer Transition Metal Dichalcogenides. Journal of the Mechanics and Physics of Solids, 168.

Song, M., Greenbaum, J., Luttrell, J., Zhou, W., Wu, C., Luo, Z., Qiu, C., Zhao, L., Su, K., Tian, Q., Shen, H., Hong, H., Gong, P., Shi, X., Deng, H., & Zhang, C. (2022). An autoencoder-based deep learning method for genotype imputation. Frontiers in Artificial Intelligence, 5.

Liang, X., Cao, X., Sha, Q., & Zhang, S. (2022). HCLC-FC: A novel statistical method for phenome-wide association studies. PLoS ONE, 17(11).

Cao, X., Liang, X., Zhang, S., & Sha, Q. (2022). Gene selection by incorporating genetic networks into case-control association studies. European Journal of Human Genetics.

de A. Fernandes, F., Larsen, K., He, Z., Nascimento, E., Peix, A., Sha, Q., Paez, D., Garcia, E., Zhou, W., & Mesquita, C. (2023). A machine learning method integrating ECG and gated SPECT for cardiac resynchronization therapy decision support. European Journal of Nuclear Medicine and Molecular Imaging. 

Vogl, B., Gadhave, R., Wang, Z., El Shaer, A., Chavez Ponce, A., Alkhouli, M., & Hatoum, H. (2023). Effect of aortic curvature on bioprosthetic aortic valve performance. Journal of Biomechanics, 146. 

Esmailie, F., Hatoum, H., Thourani, V., & Dasi, L. (2023). The impact of local blood residence time in neo-sinus on post transcatheter aortic valve replacement subclinical leaflet thrombosis-a commentary.. Interdisciplinary Cardiovascular and Thoracic Surgery, 36(1).

Zhao, C., Shi, S., He, Z., Malhotra, S., Wang, C., Zhao, Z., Li, X., Wen, H., Tang, S., Zhou, Y., & Zhou, W. (2023). Spatial-temporal V-Net for automatic segmentation and quantification of right ventricle on gated myocardial perfusion SPECT images. Medical Physics.

Rezaeitaleshmahalleh, M., Sunderland, K., Lyu, Z., Johnson, T., King, K., Liedl, D., Hofer, J., Wang, M., Zhang, X., Kuczmik, W., Rasmussen, T., McBane, R., & Jiang, J. (2023). Computerized Differentiation of Growth Status for Abdominal Aortic Aneurysms: A Feasibility Study. Journal of Cardiovascular Translational Research.

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Mu, N., Lyu, Z., Rezaeitaleshmahalleh, M., Tang, J., & Jiang, J. (2023). An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms. Medical image analysis, 84, 102697.

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Lee, Y., Pokharel, S., Muslim, A., KC, D., Lee, K., & Yeo, W. (2023). Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics. Sensors, 23(8). 

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Zhu, F., Li, L., Zhao, J., Zhao, C., Tang, S., Nan, J., Li, Y., Zhao, Z., Shi, J., Chen, Z., Han, C., Jiang, Z., & Zhou, W. (2023). A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. Computers in biology and medicine, 160, 106954.

Mu, N., Lyu, Z., Rezaeitaleshmahalleh, M., Zhang, X., Rasmussen, T., McBane, R., & Jiang, J. (2023). Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net. Computers in Biology and Medicine, 158.

de A Fernandes, F., Larsen, K., He, Z., Nascimento, E., Peix, A., Sha, Q., Paez, D., Garcia, E. V., Zhou, W., & Mesquita, C. T. (2023). A machine learning method integrating ECG and gated SPECT for cardiac resynchronization therapy decision support. European journal of nuclear medicine and molecular imaging.

Rezaeitaleshmahalleh, M., Lyu, Z., Mu, N., & Jiang, J. (2023). Using Convolutional Neural Network-Based Segmentation For Image-Based Computational Fluid Dynamics Simulations Of Brain Aneurysms: Initial Experience In Automated Model Creation. Journal of Mechanics in Medicine and Biology, 23(4). 

Mu, N., Lyu, Z., Rezaeitaleshmahalleh, M., Bonifas, C., Gosnell, J., Haw, M., Vettukattil, J., & Jiang, J. (2023). S-Net: a multiple cross aggregation convolutional architecture for automatic segmentation of small/thin structures for cardiovascular applications. Frontiers in Physiology, 14.

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Singer, A. M., Carlson, K. L., Oppong-Anane, A. B., Jarvie-Eggart, M. E., & Tan, S. (2022). Familial Influence on the Choice to Study Engineering: Insights from a Cross-University Study. 2022 First-Year Engineering Experience.

Carlson, K. L., Oppong-Anane, A. B., Jarvie-Eggart, M. E., & Singer, A. M. (2022). First Year Engineering Student Definitions of Systems Engineering: A Comparison Between Two Institutions. 2022 First-Year Engineering Experience.

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Morrison, A., & Wallace, C. (2022). Making It Strange: Disrupting Assumptions About Technology and Ethics in Engineering and Computing Education. IEEE Technology and Society Magazine, 41(3), 81-90.

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Jarvie-Eggart, M. E., Freeman, T. M., Woerner, J., Benjamin, M., & Fernandez-Arcay, L. (2023). Learning to Teach Well in Any Format: Examining the Effects of Online Teachers’ Training on University Faculty Teaching. Journal of Higher Education Theory and Practice, 23(2), 51-68.

Bettin, B. C. (2023). Challenges, Choice, & Change: Experiences and Reflections from the First Semester of a Technology and Human Futures Course. SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 1, 235-241.

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Bettin, B. C., Ott, L., & Hiebel, J. (2023). More (Sema|Meta)phors: Additional Perspectives on Analogy Use from Concurrent Programming Students. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, 1, 166-172.

da Silva Santos, M., Sales Barros, L., Costa, F. B., Mara Vital Barros, C., Penha Silva Junior, G., & Strunz, K. (2022). Frequency Droop-Based Synchronverter Without Battery for Primary Support of Microgrids. Journal of Control, Automation and Electrical Systems.

Aponte-Roa, D., Ten, C., & Weaver, W. (2022). Assessment Framework for Electric Power Systems Under Hypothetical Wind Storm Trajectories. 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022.

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Al Maashri, A., Saleem, A., Bourdoucen, H., Eldirdiry, O., & Al Ghadani, A. (2022). A novel drone-based system for accurate human temperature measurement and disease symptoms detection using thermography and AI. Remote sensing applications : society and environment, 27, 100787. 

Federal Transit Administration. Coordinated Transit Response Planning and Operations Support Tools for Mitigating Impacts of All-Hazard Emergency Events. Washington, D.C.: United States Department of Transportation, 2022.

Jacquelin, F., Bae, J., Chen, B., Robinette, D., Santhosh, P., Orlando, J., & Knopp, D. (2022). Connected and Autonomous Vehicle Cohort Speed Control Optimization via Neuroevolution. IEEE Access, 10, 97794-97801.

Jacquelin, F., Bae, J., Chen, B., Santhosh, P., Kraemer, T., & Henderson, B. (2022). Real Time Predictive and Adaptive Hybrid Powertrain Control Development via Neuroevolution. Vehicles, 4(4), 942-956.

Pan, Z., Chen, T., Fang, X., Bretl, T., Gao, X., & Wu, K. (2022). Environment Warped Gait Trajectory Optimization for Complex Terrains. IEEE Robotics and Automation Letters, 7(4), 12403-12410. 

Azmoon, B., Biniyaz, A., & Liu, Z. (2022). Use of High-Resolution Multi-Temporal DEM Data for Landslide Detection. Geosciences (Switzerland), 12(10).

Ko, S., Lautala, P., & Zhang, K. (2022). Data-Driven Analysis of Short-Distance Freight Rail Transportation Potential: A Case Study of Log Movements in the U.S. Lake Superior Region. Transportation Research Record. 

Ko, S., Lautala, P., & Zhang, K. (2022). Data-Driven Analysis of Short-Distance Freight Rail Transportation Potential: A Case Study of Log Movements in the U.S. Lake Superior Region. Transportation Research Record. 

Dantas, K., Lopes, F., Silva, K., Costa, F., Ribeiro, N., & Gama, L. (2022). Leveraging existing relays to improve single phase auto-reclosing. Electric Power Systems Research, 212.

Lopes, F., Reis, R., Facina, D., Melo, K., Dantas, K., & Costa, F. (2022). How much “villain” is the anti-aliasing filter for traveling wave-based fault location methods?. Electric Power Systems Research, 212.

Biniyaz, A., Azmoon, B., & Liu, Z. (2022). Intelligent Control of Groundwater in Slopes with Deep Reinforcement Learning †. Sensors, 22(21). 

Burnham, L., Riley, D., King, B., Braid, J., Dice, P., Dyreson, A., Snyder, W., & Pike, C. (2022). Dedicated cold-climate field laboratory for photovoltaic system and component studies: the Michigan Regional Test Center as a case study. Conference Record of the IEEE Photovoltaic Specialists Conference, 2022-June, 333-335.

Chaturvedi, S., Zhang, L., & Yuan, X. (2022). Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. Proceedings - International Conference on Pattern Recognition, 2022-August, 4573-4579.

Ge, W., Wang, Z., Yin, J., & Han, X. (2022). Robust equalization for Single-Carrier Underwater Acoustic Communications Based on Parameterized Interference Model. IEEE Wireless Communications Letters.

Saleem, A., Awad, A., Paheding, S., & Marcarelli, A. (2023). Multi-class plant type detection in Great Lakes region using remotely operated vehicle and deep learning. Proceedings Volume 12527, Pattern Recognition and Tracking XXXIV. 

Yang, Z., Zhang, S., Ten, C., Liu, T., Pang, X., & Sun, H. (2023). Implementation of Risk-Aggregated Substation Testbed Using Generative Adversarial Networks. IEEE Transactions on Smart Grid, 14(1), 677-689. 

Costa, F., Häselbarth, S., Yanchenko, S., Strunz, K., & Oliveira, A. M. (2023). Wavelet-Based Harmonic Magnitude Measurement in the Presence of Interharmonics. IEEE Transactions on Power Delivery. 

Soliman, H., Saleem, A., Bayoumi, E., & De Santis, M. (2023). Harmonic Distortion Reduction of Transformer-Less Grid-Connected Converters by Ellipsoidal-Based Robust Control. Energies, 16(3). 

Patil, Y., Dobrzynski, D., Nystrom, B., Wu, Z., & Chen, B. (2023). HIL Demonstration of Energy Management Strategy for Real World Extreme Fast Charging Stations with Local Battery Energy Storage Systems. SAE Technical Paper. 

Saleem, A., Paheding, S., Rawashdeh, N., Awad, A., & Kaur, N. (2023). A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset. IEEE Access.

Choobchian, P., Roscoe, G., Dick, T., Zou, B., Work, D., Zhang, K., Wang, Y., & Hung, Y. (2023). Leveraging connected vehicle platooning technology to improve the efficiency and effectiveness of train fleeting under moving blocks. Transportation Research Part C: Emerging Technologies, 148.

Zhang, D., Le, J., Lei, X., Xiang, T., & Liao, X. (2023). Secure Redactable Blockchain With Dynamic Support. IEEE Transactions on Dependable and Secure Computing.

Tavakoli, H., Liu, Z., Azmoon, B., & Yuan, X. (2023). Enhancing Winter Road Maintenance via Cloud Computing. IEEE Internet Computing. 

Patil, Y., Dobrzynski, D., Nystrom, B., Wu, Z., & Chen, B. (2023). HIL Demonstration of Energy Management Strategy for Real World Extreme Fast Charging Stations with Local Battery Energy Storage Systems. SAE Technical Papers.

Aziz Jahan, M., Tiwari, S., & Costa, F. (2023). Benchmark Signals with Inter-harmonics for the Development of Harmonic Estimation Methods. 2023 IEEE 13th Annual Computing and Communication Workshop and Conference, CCWC 2023, 1017-1022.

Zhang, K., Lautala, P., Souleyrette, R. R., Tan, Y., Yang, Y., Hung, Y., Mamun, T., Veinott, E., & Wang, T. (2023). Developing Safe and Efficient Driving and Routing Strategies at Railroad Grade Crossings based on Highway-Railway Connectivity.

Rathbum, J., Sharky, A., Urunkar, P., Saleem, A., & Hazaveh, P. (2023). Developing a Climbing Assistive Exoskeleton. 2023 Systems and Information Engineering Design Symposium, SIEDS 2023, 102-107.

Jacquelin, F., Bae, J., Chen, B., & Robinette, D. (2023). Neuroevolution Application to Collaborative and Heuristics-Based Connected and Autonomous Vehicle Cohort Simulation at Uncontrolled Intersection. Eng, 4(2), 1320-1336.

Deng, R., Ten, C., Li, C., Niyato, D., & Teng, F. (2023). Guest Editorial: Introduction to Special Issue on 'Cloud-Edge-End Orchestrated Computing for Smart Grid'. IEEE Transactions on Cloud Computing, 11(2), 1107-1110.

Patil, A., Park, M., & Bae, J. (2023). Coordinating Tethered Autonomous Underwater Vehicles towards Entanglement-Free Navigation. Robotics, 12(3).

Schexnaydre, L., Poovalappil, A., Schmelzle, M., Robinette, D. L., & Bos, J. (2023). Using Automated Vehicle Positioning to Improve Efficiency in Vehicle Platooning. Proceedings of SPIE - The International Society for Optical Engineering, 12540.

Schmelzle, M., Robinette, D. L., & Bos, J. (2023). Tire-force modeling on a hub-mounted vehicle-in-the-loop dynamometer while performing lateral maneuvers. Proceedings of SPIE - The International Society for Optical Engineering, 12540.

Mattson, I., Jeffries, Z., Majhor, C., & Bos, J. (2023). Rut depth detection for automated trafficability assessment. Proceedings of SPIE - The International Society for Optical Engineering, 12540. 

Dantas, F., Fernandes, D., Neves, W., Branco, A., & Costa, F. (2023). Optimal Inverter-Based Resource Installation to Minimize Technical Energy Losses in Distribution Systems. IEEE Access, 11, 123961-123976.

Bhat, P., & Chen, B. (2023). Real-Time Suitable Predictive Control Using SPaT Information from Automated Traffic Lights. Future Transportation, 3(2), 643-662.

Shi, J., Xie, T., Tu, G., Peng, C., Li, C., Hou, A., Wang, S., Hu, Y., Lei, X., Chen, M., Xiao, L., & Liu, X. (2023). When Good Turns Evil: Encrypted 5G/4G Voice Calls Can Leak Your Identities. 2023 IEEE Conference on Communications and Network Security, CNS 2023.

Xia, W., Li, Y., Zhang, L., Wu, Z., & Yuan, X. (2022). Cascade Vertical Federated Learning. Proceedings - IEEE International Conference on Multimedia and Expo, 2022-July.

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Zhang, L., Wu, D., & Yuan, X. (2022). FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. Proceedings - International Conference on Distributed Computing Systems, 2022-July, 928-938. 

Deng, X., Zhu, J., Pei, X., Zhang, L., Ling, Z., & Xue, K. (2022). Flow Topology-based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks. IEEE Transactions on Network and Service Management.

Deng, X., Pei, X., Tian, S., & Zhang, L. (2022). Edge-based IIoT Malware Detection for Mobile Devices with Offloading. IEEE Transactions on Industrial Informatics.

Nguyen, V., & Case, J. (2022). Compensation of electrical current drift in human–robot collision. International Journal of Advanced Manufacturing Technology, 123(7-8), 2783-2791.

Chen, N., Dafoe, J., & Chen, B. (2022). Poster: Data Recovery from Ransomware Attacks via File System Forensics and Flash Translation Layer Data Extraction. Proceedings of the ACM Conference on Computer and Communications Security, 3335-3337.

Li, X., Lei, X., Li, Y., Qin, H., & Hu, Y. (2023). Towards Inference of Original Graph Data Information from Graph Embeddings. Proceedings of the International Joint Conference on Neural Networks, 2023-June. 

Zhang, L., Lei, X., Shi, Y., Huang, H., & Chen, C. (2023). Federated Learning for IoT Devices with Domain Generalization. IEEE Internet of Things Journal.

Xia, W., Li, Y., Zhang, L., Wu, Z., & Yuan, X. (2023). Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy over Distributed Labels. IEEE Transactions on Big Data.

Yu, H., Wang, M., Song, X., Shan, H., Qiu, H., Wang, J., & Yang, K. (2023). Noise2Clean: Cross-Device Side-Channel Traces Denoising with Unsupervised Deep Learning. Electronics (Switzerland), 12(4). 

Chen, N., Chen, B., & Shi, W. (2023). A Cross-layer Plausibly Deniable Encryption System for Mobile Devices. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 462 LNICST, 150-169. 

Xie, W., Chen, N., & Chen, B. (2023). Enabling Accurate Data Recovery for Mobile Devices Against Malware Attacks. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 462 LNICST, 431-449.

Zhou, X., Lei, X., Yang, C., Shi, Y., Zhang, X., & Shi, J. (2023). Handling Data Heterogeneity for IoT Devices in Federated Learning: A Knowledge Fusion Approach. IEEE Internet of Things Journal. 

Wu, Z., Bhat, P., & Chen, B. (2023). Optimal Configuration of Extreme Fast Charging Stations Integrated with Energy Storage System and Photovoltaic Panels in Distribution Networks. Energies, 16(5).

Yu, H., Wang, S., Shan, H., Panoff, M., Lee, M., Yang, K., & Jin, Y. (2023). Dual-Leak: Deep Unsupervised Active Learning for Cross-Device Profiled Side-Channel Leakage Analysis. Proceedings of the 2023 IEEE International Symposium on Hardware Oriented Security and Trust, HOST 2023, 144-154.

Huang, H., Lei, X., & Xiang, T. (2023). Mitigating cross-client GANs-based attack in federated learning. Multimedia Tools and Applications. 

Hartwig, K., Lucas, E., & Havens, T. (2023). Identification of Dialect for Eastern and Southwestern Ojibwe Words Using a Small Corpus. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 58-66.

Lucas, E., & Havens, T. (2023). GPTs Don't Keep Secrets: Searching for Backdoor Watermark Triggers in Autoregressive Language Models. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 242-248.

Ma, L., Yang, Y., Wang, Z., Wu, G., Khan, Y., & Liu, S. (2023). Further results on maximal ratio combining under correlated noise for multi-carrier underwater acoustic communication using vector sensors. Applied Acoustics, 214.

Ahmad, W., Muhammad, K., Glass, H., Chatterjee, S., Khan, A., & Hussain, A. (2022). Novel MLR-RF-Based Geospatial Techniques: A Comparison with OK. ISPRS International Journal of Geo-Information, 11(7).

Chatterjee, S., Mastalerz, M., Drobniak, A., & Karacan, C. (2022). Machine learning and data augmentation approach for identification of rare earth element potential in Indiana Coals, USA. International Journal of Coal Geology, 259. 

Li, M., & Wang, Z. (2022). Deep reliability learning with latent adaptation for design optimization under uncertainty. Computer Methods in Applied Mechanics and Engineering, 397.

Vishnu, C., Oommen, T., Chatterjee, S., & Sajinkumar, K. (2022). Challenges of modeling rainfall triggered landslides in a data-sparse region: A case study from the Western Ghats, India. Geosystems and Geoenvironment, 1(3).

Pascaris, A., Schelly, C., Rouleau, M., & Pearce, J. (2022). Do agrivoltaics improve public support for solar? A survey on perceptions, preferences, and priorities. Green Technology, Resilience, and Sustainability, 2(8).

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Bos, J., & Weng, W. (2023). Assessing the effects of severe winter weather on automotive lidar. Proceedings of SPIE - The International Society for Optical Engineering, 12691.

Gorai, A., & Chatterjee, S. (2022). Optimization Techniques and their Applications to Mine Systems. Optimization Techniques and their Applications to Mine Systems, 1-389.

Rawashdeh, N., Bos, J., & Abu-Alrub, N. J. (2022). Camera–Lidar sensor fusion for drivable area detection in winter weather using convolutional neural networks. Optical Engineering, 62(3).

Z. Liu, C. Johnston, A. Leino, T. Winter, A. Sergeyev, M. Gauthier, N. Rawashdeh, “An Industrial Pneumatic and Servo Four-axis Robotic Gripper System: Description and Unitronics Ladder Logic Programming”, 2022 American Society for Engineering Education (ASEE) Conference for Industry and Education Collaboration (CIEC), Tempe, AZ Feb. 4-11 2022, ASEE.

P. Hazaveh, A. Sergeyev, N. Rawashdeh, "Mechatronics Bachelor Curriculum Development in Light of Industry 4.0 Technology Needs: Contrasting United States and German University Curricula", 2022 American Society for Engineering Education (ASEE) Conference for Industry and Education Collaboration (CIEC), Tempe, AZ Feb. 4-11 2022, ASEE. 

Zhou, K., Wang, Z., Ni, Y., Zhang, Y., & Tang, J. (2023). Unmanned aerial vehicle-based computer vision for structural vibration measurement and condition assessment: A concise survey. Journal of Infrastructure Intelligence and Resilience, 2(2).

E. Kocher, C. G. Ochieze, A. Oumar, T. Winter, A. Sergeyev, M. Gauthier, N. Rawashdeh, “A Smart Parallel Gripper Industrial Automation System for Measurement of Gripped Work Piece Thickness”, 2022 American Society for Engineering Education (ASEE) Conference for Industry and Education Collaboration (CIEC), Tempe, AZ Feb. 4-11 2022, ASEE.

B. Piechocki, C. Spitzner, N. Karanam, T. Winter, A. Sergeyev, M. Gauthier, N. Rawashdeh, “Operation of a Controllable Force-sensing Industrial Pneumatic Parallel Gripper System”, 2022 American Society for Engineering Education (ASEE) Conference for Industry and Education Collaboration (CIEC), Tempe, AZ Feb. 4-11 2022, ASEE.

A. Reyes, S. Reinhardt, T. Wise, N. Rawashdeh, S. Paheding, "Gesture Controlled Collaborative Robot Arm and Lab Kit", 2022 American Society for Engineering Education (ASEE) Conference for Industry and Education Collaboration (CIEC), Tempe, AZ Feb. 4-11 2022, ASEE. 

Tanseri, I., Hagstotz, S., Vagnozzi, S., Giusarma, E., & Freese, K. (2022). Updated neutrino mass constraints from galaxy clustering and CMB lensing-galaxy cross-correlation measurements. Journal of High Energy Astrophysics, 36, 1-26.

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Kulasekera Mudiyanselage, N., Blazejewski, J. J., Ong, B., & Piret, C. M. (2022). A Radial Basis Function-Finite Difference and Parareal Framework for Solving Time Dependent Partial Differential Equations. Dolomites Research Notes on Approximation, 15(5), 8-23.

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Ismail, H., White, C., AL-Barakati, H., Newman, R., & KC, D. (2022). FEPS: A Tool for Feature Extraction from Protein Sequence. Methods in Molecular Biology, 2499, 65-104.

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Spencer, M., & Bos, J. (2022). Off Road Autonomous Vehicle Modeling and Repeatability Using Real World Telemetry via Simulation. Proceedings of SPIE - The International Society for Optical Engineering, 12115. 

Kurup, A., & Bos, J. (2022). Winter Adverse Driving dataSet (WADS): Year Three. Proceedings of SPIE - The International Society for Optical Engineering, 12115.

Mattson, I., Dahiya, D., Kurup, A., Poovalappil, A., Reddy, S., Bos, J., & Robinette, D. (2022). Reducing ego vehicle energy-use by LiDAR-based lane-level Positioning. Proceedings of SPIE - The International Society for Optical Engineering, 12115.

Abu-Shaqra, A. D., Abu-Alrub, N. J., & Rawashdeh, N. (2022). Object detection in degraded LiDAR signals by synthetic snowfall noise for autonomous driving. Proceedings of SPIE 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022, 12115.

Mohammadi, A., Kucharski, A., & Rawashdeh, N. (2022). UVC and far-UVC light disinfection ground robot design for sterilizing the coronavirus on vertical surfaces. Proceedings of SPIE 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022, 1211509. 

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McDermott, A., Veinott, E., Eusebi, L., Whitaker, E., Trewhitt, E., Mueller, S., Illingworth, D., Thomas, R., Dougherty, M., & Guarino, S. (2021). Developing an Adaptive Framework to Support Intelligence Analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12792 LNCS,

Alam, L., & Mueller, S. (2021). Assessing Clustering Methods to Establish Reliability and Consensus in Card Sorting Tasks. Lecture Notes in Networks and Systems, 275, 961-968.

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Adhikary, J., & Vertanen, K. (2021). Typing on Midair Virtual Keyboards: Exploring Visual Designs and Interaction Styles. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12935 LNCS, 132-151. 

Klein, G., Hoffman, R., Mueller, S., & Newsome, E. (2021). Modeling the Process by Which People Try to Explain Complex Things to Others. Journal of Cognitive Engineering and Decision Making.

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Cischke, C., & Mueller, S. T. (2022). Examining the Effectiveness of Different Assessments and Forecasts for Accurate Judgments of Learning in Engineering Classes. International Conference on Computer Supported Education, CSEDU - Proceedings, 1, 497-503.

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Bonaker, N. R., Nel, E. M., Vertanen, K., & Broderick, T. (2022). A Performance Evaluation of Nomon: A Flexible Interface for Noisy Single-Switch Users. CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1-17.

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Conard, M., & Ebnenasir, A. (2021). A Practical Self-Stabilizing Leader Election for Networks of Resource-Constrained IoT Devices. Proceedings - 2021 17th European Dependable Computing Conference, EDCC 2021, 127-134.

Lu, Z., Yue, J., Deng, Y., & Zhu, Y. (2021). Efficient NVM Crash Consistency by Mitigating Resource Contention. 2021 IEEE International Conference on Networking, Architecture and Storage, NAS 2021 - Proceedings.

Whalley, David and Onder, Soner, "Micro-architecture designs and methods for eager execution and fetching of instructions" (2021). Michigan Tech Patents. 154.

Guo, Y., Li, P., Luo, Y., Wang, X., & Wang, Z. (2021). GRAPHSPY: Fused Program Semantic Embedding through Graph Neural Networks for Memory Efficiency. Proceedings - Design Automation Conference, 2021-December, 1045-1050.

Soltanian, K., Ebnenasir, A., & Afsharchi, M. (2021). Modular Grammatical Evolution for the Generation of Artificial Neural Networks. Evolutionary computation, 1-36.

Guo, Y., Li, P., Luo, Y., Wang, X., & Wang, Z. (2022). Exploring GNN Based Program Embedding Technologies for Binary Related Tasks. IEEE International Conference on Program Comprehension, 2022-March, 366-377.

Sha, S., Zhang, Y., Luo, Y., Wang, X., & Wang, Z. (2022). Accelerating Address Translation for Virtualization by Leveraging Hardware Mode. IEEE Transactions on Computers.

Sha, S., Du, H., Luo, Y., Wang, X., & Wang, Z. (2022). Software-Based Flat Nested Page Table in Sunway Architecture. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 59(4), 737-746.

Lu, Z., Yue, J., Deng, Y., & Zhu, Y. (2022). Accelerate Hardware Logging for Efficient Crash Consistency in Persistent Memory. Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022, 388-393.

Zhang, Z., Yue, J., Liao, X., & Jin, H. (2022). Efficient Hardware Redo Logging for Secure Persistent Memory. 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021, 41-48.

Conference Proceedings
Hatoum, Hoda,” Commentary: Complying With the Compliance of Ross Procedure Reinforcing Grafts,” Seminars in Thoracic and Cardiovascular Surgery, American Association for Thoracic Surgery, 2020
Jiang, Jingfeng,” Augmented Region-Growing-Based Motion Tracking Using Bayesian Inference For Quasi-Static Ultrasound Elastography,” Proc. IEEE International Conference on Image Processing (ICIP), 2020
Jiang, Jingfeng,” Performance Assessment of Motion Tracking Methods in Ultrasound-based Shear Wave Elastography,” Proc. IEEE International Conference on Systems, Man and Cybernetics, 2020
Jiang, Jingfeng,” Real-time Ultrasound Simulator Using Monte-Carlo Path Tracing in Conjunction with Optix Engine,” Proc. IEEE International Conference on Systems, Man and Cybernetics, 2020
Journal Articles
Hatoum, Hoda,” A bench test study of bioprosthetic valve fracture performed before versus after transcatheter valve-in-valve intervention,” Eurointervention: Journal of Europcr in Collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology, European Society of Cardiology, 2020
Hatoum, Hoda,” A turbulence in vitro assessment of On-X and St Jude Medical prostheses,” The Journal of Thoracic and Cardiovascular Surgery, Elsevier, 2020
Hatoum, Hoda,” Assessment of transfer of morphological characteristics of Anomalous Aortic Origin of a Coronary Artery from imaging to patient specific 3D Printed models: A feasibility study,” Computer Methods and Programs in Biomedicine, Elsevier, 2021
Hatoum, Hoda,” Atrial and ventricular flows across a transcatheter mitral valve,” Interactive CardioVascular and Thoracic Surgery, Oxford Academic, 2021
Hatoum, Hoda,” Commentary: Computational fluid dynamics in anomalous coronaries: moving from anecdote-based to data-based clinical decision-making,” Seminars in Thoracic and Cardiovascular Surgery, 2020
Hatoum, Hoda,” Development of tissue engineered heart valves for percutaneous transcatheter delivery in a fetal ovine model,” JACC: Basic to Translational Science, JACC: Basic to Translational Science, 2020
Hatoum, Hoda,” Differences in Pressure Recovery Between Balloon Expandable and Self-expandable Transcatheter Aortic Valves,” Annals of Biomedical Engineering, Springer, 2020
Hatoum, Hoda,” Effect of Left and Right Coronary Flow Waveforms on Aortic Sinus Hemodynamics and Leaflet Shear Stress: Correlation with Calcification Locations,” Annals of Biomedical Engineering, Springer, 2020
Hatoum, Hoda,” Fetal Transcatheter Trileaflet Heart Valve Hemodynamics: Implications of Scaling on Valve Mechanics and Turbulence,” Annals of Biomedical Engineering, Springer, 2020
Hatoum, Hoda,” Flow Dynamics in Anomalous Aortic Origin of a Coronary Artery in Children: Importance of the Intramural Segment,” Seminars in Thoracic and Cardiovascular Surgery, 2020
Hatoum, Hoda,” Impact of BASILICA on sinus and neo-sinus hemodynamics after valve-in-valve with and without coronary flow,” Cardiovascular Revascularization Medicine, Elsevier, 2020
Hatoum, Hoda,” Impact of superhydrophobicity on the fluid dynamics of a bileaflet mechanical heart valve,” Journal of the Mechanical Behavior of Biomedical Materials, Elsevier, 2020
Hatoum, Hoda,” In-vitro characterization of self-expandable textile transcatheter aortic valves,” Journal of the Mechanical Behavior of Biomedical Materials, Elsevier, 2020
Hatoum, Hoda,” Multiple MitraClips: The Balancing Act between Pressure Gradient and Regurgitation,” The Journal of Thoracic and Cardiovascular Surgery, Elsevier, 2020
Hatoum, Hoda,” Predicting leaflet thrombosis: Is the clue in the blood?”Annals of Thoracic Surgery, Elsevier, 2021
Hatoum, Hoda,” SIMPLE 2D ANATOMICAL MODEL TO PREDICT RISK OF CORONARY OBSTURCTION DURING TRANSCATHETER AORTIC VALVE REPLACEMENT,” The Journal of Thoracic and Cardiovascular Surgery, Elsevier, 2020
Hatoum, Hoda,” Sinus Hemodynamics after Transcatheter Aortic Valve in Transcatheter Aortic Valve,” The Annals of Thoracic Surgery, Elsevier, 2020
Hatoum, Hoda,” Surgical Aortic Valve Sizing: Imagine the Benefits of Imaging,” The Annals of Thoracic Surgery, Elsevier, 2020
Jiang, Jingfeng,” Deep learning for the identification of bruised apples by fusing 3D deep features for apple grading systems,” Mechanical Systems and Signal Processing, Elsevier, 2020
Sha, Qiuying,” MF-TOWmuT: Testing an Optimally Weighted Combination of Common and Rare Variants with Multiple Traits Using Family Data,” Genetic Epidemiology, Wiley, 2021
Zhang, Kui,” Validation of the revised 8th AJCC breast cancer clinical prognostic staging system: analysis of 5321 cases from a single institution,” Modern Pathology, United States and Canadian Academy of Pathology, Inc, 2021

Conference Proceedings
Bettin, Briana,” Infusing Computing into Introductory Engineering,” Proc. of the Frontiers in Education Conference, 2020
Bettin, Briana,” Work in Progress: The perception of computer programming within engineering education: An investigation of student attitudes, beliefs, and behaviors,” Proc. ASEE Annual Conference and Exposition, 2020
Dissertation
Bettin, Briana,” The Stained Glass of Knowledge: On Understanding Novice Mental Models of Computing (Doctoral Dissertation),” Open Access Dissertation, Michigan Tech, 2020

Conference Proceedings
Zhang, Kuilin,” Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management,” Road Vehicle Automation 7, Springer, 2020
Zhang, Lan,” A Privacy-Preserving Trust Management System based on Blockchain for Vehicular Networks,” IEEE WCNC, 2020
Journal Articles
Tang, Jinshan,” (2020) Deep learning for the Identification of Bruised Apples by Fusing 3D Deep Features for Apple Grading Systems,” Mechanical System and Signal Processing, Elsevier, 2020
Tang, Jinshan,” (2020)A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network,” Multimedia Systems Journal, Springer, 2020
Tang, Jinshan,” (2020)Multimodal MR Image Synthesis Using Gradient Prior and Adversarial Learning,” IEEE Journal of Selected Topics in Signal Processing, 2020
Tang, Jinshan,” A COVID-19 Detection Algorithm Using Deep Features and Discrete SLPSO algorithm for Edge Device,ACM Transactions on Internet Technology,” ACM Transactions on Internet Technology, 2021
Tang, Jinshan,” A New Approach for Lung Segmentation and Automatic Detection of COVID-19 Using Radiomic Features from Chest CT Images,” Pattern Recognition, Elsevier, 2021
Zhang, Lan,” 5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy,” Proceedings of the IEEE, 2020
Zhang, Lan,” Augmenting Transmission Environments for Better Communications: Tunable Reflector Assisted MmWave WLANs,” IEEE Transactions on Vehicular Technology, 2020
Zhang, Lan,” Multiple Intelligent Reflecting Surfaces Assisted Secure Transmissions in MISO Systems,” ArXiv Preprint, arXiv:2008.03767, 2020
Zhang, Lan,” Timeliness-Aware Incentive Mechanism for Vehicular Crowdsourcing in Smart Cities,” IEEE Transactions on Mobile Computing, 2021

Book Chapter
Chen, Bo,” Protocols for Cloud Security,” Machine Learning Techniques and Analytics for Cloud Security, 2021
Conference Proceedings
Chen, Bo,” Deduplication-friendly Watermarking for Multimedia Data in Public Clouds,” Proc. European Symposium on Research in Computer Security (ESORICS '20), 2020
Chen, Bo,” MobiWear: A Plausibly Deniable Encryption System for Wearable Mobile Devices,” Proc. EAI International Conference on Applied Cryptography in Computer and Communications (AC3 '21), 2021
Chen, Bo,” Proc. Combating the OS-level Malware in Mobile Devices by Leveraging Isolation and Steganography,” Proc. ACNS Workshop on Secure Cryptographic Implementation (SCI '21), 2021
Chen, Bo,” Proc. Proofs of Ownership on Encrypted Cloud Data via Intel SGX,” Proc. Workshop on Secure Cryptographic Implementation (SCI '20), 2020
Demonstration
Mayo, Jean,” SecureCvisual: Visualization and Analysis for C Code Security,” Proc. ACM Technical Symposium on Computer Science Education, 2020
Journal Articles
Chen, Bo,” Enforcing Access Control in Information-Centric Edge Networking,” IEEE Transactions on Communications, 2021
Chen, Bo,” Towards Mitigating Spreading of Coronavirus via Mobile Devices,” IEEE Internet of Things Magazine, 2020
Chen, Bo,” What If Keys Are Leaked? towards Practical and Secure Re-Encryption in Deduplication-Based Cloud Storage,” MDPI Information, MDPI, 2021
Wall, Jeffrey,” Theorizing the behavioral effects of control complementarity in security control portfolios,” Information Systems Frontiers, Springer, 2021
Wall, Jeffrey,” Understanding employees’ information security identities: An interpretive narrative approach,” Information Technology and People, Emerald Publishing, 2021

Book Chapter
Zhou, Weihua,” Chapter 24 – Nuclear imaging guiding cardiac resynchronization therapy,” Nuclear Cardiology: Basic and Advanced Concepts in Clinical Practice, Springer Nature, 2021
Conference Abstracts
Ghosh, Susanta,” A Modified Bayesian Convolutional Neural Network for Breast Histopathology Image Classification and Uncertainty Quantification,” Proc. U.S. National Congress on Computational Mechanics, (USNCCM16), 2021
Ghosh, Susanta,” Data Driven Approach for the Deformation of Multiwalled Carbon Nanotubes,” Proc.U.S. National Congress on Computational Mechanics, (USNCCM16), 2021
Ghosh, Susanta,” Hybrid Bessel Beam and Metamaterial Lenses for Deep Laparoscopic Nondestructive Evaluation,” Proc. Annual Review of Progress in Quantitative Nondestructive Evaluation (QNDE2021), 2021
Paheding, Sidike,” Application of Deep Learning for Regional Evapotranspiration Projections based on Satellite and Weather Observations,” Proc. 2020 AGU Fall Meeting, 2020
Paheding, Sidike,” Root Zone Moisture Retrievals from Ground and Remotely Sensed Soil Data with AutoML,” Proc. ASA-CSSA-SSSA International Annual Meeting, 2020
Conference Proceeding (27)
Bos, Jeremy,” Autonomous Power Grid Formation for Surface Assets Using Multiple Unmanned Ground Vehicles,” IEEE Aerospace Conference, 2020
Bos, Jeremy,” Autonomy at the end of the Earth: an inclement weather autonomous driving data set,” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020
Bos, Jeremy,” C-SLAM: Six degree of freedom point cloud mapping for any environment (Conference Presentation),” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020
Bos, Jeremy,” Comparing machine learning and neural network-based approaches for sign detection and classification in autonomous vehicles,” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020
Bos, Jeremy,” Multi point pure pursuit,” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020
Bos, Jeremy,” Near Field Wireless Power Transfer via Robotic Feedback Control,” Proc. IEEE Aerospace Conference, 2020
Bos, Jeremy,” Recharging of Distributed Loads via Schedule Optimization with Autonomous Mobile Energy Assets,” Proc. IEEE Aerospace Conference, 2020
Bos, Jeremy,” Saturation of anisoplanatic error over slant paths through non-Kolmogorov turbulence,” Proc. Laser Communication and Propagation through the Atmosphere and Oceans IX, 2020
Bos, Jeremy,” SVM based sensor fusion for improved terrain classification,” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020, SPIE, 2020
Bos, Jeremy,” Unreal as a simulation environment for offroad autonomy,” Proc. Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2020, SPIE, 2020
Havens, Timothy,” Augmentation methods for object detection in overhead infrared imagery,” Proc. Automatic Target Recognition XXXI, 2021, SPIE, 2021
Havens, Timothy,” Choquet integral ridge regression,” Proc. IEEE Int. Conf. Fuzzy Systems, 2020
Havens, Timothy,” Earth mover’s distance as a similarity measure for linear order statistics and fuzzy integrals,” Proc. IEEE Int. Conf. Fuzzy Systems, 2021
Havens, Timothy,” Effects of perturbed depth sensors in autonomous ground vehicles,” Proc. Digital Forum, SPIE Defense + Commercial Sensing, 2021
Havens, Timothy,” Extended linear order statistic (ELOS) aggregation and regression,” Proc. IEEE Int. Conf. Fuzzy Systems, 2020
Havens, Timothy,” Light field compression by residual CNN-assisted JPEG,” Proc. IEEE Int. Joint Conf. Neural Networks, 2021
Havens, Timothy,” On a paradox of extended linguistic summaries,” Proc. IEEE Int. Conf. Fuzzy Systems, 2020
Havens, Timothy,” Online learning of the fuzzy Choquet integral,” Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, 2020
Havens, Timothy,” Online sequential learning of fuzzy measures for Choquet integral fusion,” Proc. IEEE Int. Conf. Neural Networks, 2021
Havens, Timothy,” Uncertain inference using ordinal classification in deep networks for acoustic localization,” Proc. IEEE Int. Joint Conf. Neural Networks, 2021
Havens, Timothy,” Visualization and analysis tools for explainable Choquet integral regression,” Proc. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 2020
Paheding, Sidike,” Recurrent residual U-Net with EfficientNet encoder for medical image segmentation,” Proc. SPIE Pattern Recognition and Tracking XXXII (DCS 2021 ), 2021
Rawashdeh, Nathir,” Drivable path detection using CNN sensor fusion for autonomous driving in the snow,” Proc. Digital Forum, SPIE Defense + Commercial Sensing, 2021
Rawashdeh, Nathir,” Interfacing Computing Platforms for Dynamic Control and Identification of an Industrial KUKA Robot Arm,” Proc. International Conference on Research and Education in Mechatronics (REM), 2020, IEEE Xplore, 2020
Yuan, Xiaoyong,” Adaptive adversarial attack on scene text recognition,” Proc. IEEE International Conference on Computer Communications (INFOCOM) Workshop on Security and Privacy in Big Data, 2020
Yuan, Xiaoyong,” Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks,” Proc. EAI SecureComm, 2020
Yuan, Xiaoyong,” Sensing to Learn: Deep Learning based Wireless Sensing via Connected Digital and Physical Experiments,” Proc. International Conference on Applied Human Factors and Ergonomics, 2021
Journal Articles
Bos, Jeremy,” Angular anisoplanatism in non-Kolmogorov turbulence over horizontal paths,” Journal of the Optical Society of America A (JOSA A), Optical Society of America, 2020
Bos, Jeremy,” Modeling standard plenoptic camera by an equivalent camera array,” Optical Engineering, International Society for Optics and Photonics, 2020
Chatterjee, Snehamoy,” Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India,” International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2020
Chatterjee, Snehamoy,” Uncertainty quantification of structural and geotechnical parameter by geostatistical simulations applied to a stability analysis case study with limited exploration data,” International Journal of Rock Mechanics and Mining Sciences, Pergamon, 2020
Ghosh, Susanta,” A machine learning framework for predicting the shear strength of carbon nanotube-polymer interfaces based on molecular dynamics simulation data,” Composites Science and Technology, Elsevier, 2021
Ghosh, Susanta,” Interpretable machine learning model for the deformation of multiwalled carbon nanotubes,” Physical Review B, American Physical Society, 2021
Han, Sang Yoon,” Pre-complexation of talin and vinculin without tension is required for efficient nascent adhesion maturation,” eLife, eLife, 2021
Han, Sang Yoon,” TRA-1-60-positive/CD45low cells found in the peripheral blood of prostate cancer patients with metastatic disease – A proof-of-concept study,” Heliyon, Cell Press, 2020
Havens, Timothy,” A similarity measure based on bidirectional subsethood for intervals,” IEEE Trans. Fuzzy Systems, IEEE, 2020
Havens, Timothy,” Aperture-level simultaneous transmit and receive with digital phased arrays,” IEEE Trans. Signal Processing, IEEE, 2020
Havens, Timothy,” Enabling explainable fusion in deep learning with fuzzy integral neural networks,” IEEE Trans. Fuzzy Systems, IEEE, 2020
Havens, Timothy,” Novel regularization for learning the fuzzy Choquet integral with limited training data,” IEEE Trans. Fuzzy Systems, IEEE, 2020
Havens, Timothy,” Recurrent networks for DOA identification of anthropogenic acoustic sources in a shallow water channel using a vector sensor,” Journal of the Acoustical Society of America (JASA), ASA, 2021
Havens, Timothy,” Soft overlapping community detection in large-scale networks via fast fuzzy modularity maximization,” IEEE Trans. Fuzzy Systems, IEEE, 2021
Ong, Benjamin,” Applications of Time Parallelism,” Computing and Visualization in Science, IEEE, 2020
Oommen, Thomas,” A GIS Tool for Infinite Slope Stability Analysis (GIS-TISSA),” Geoscience Frontiers, Elsevier, 2020
Oommen, Thomas,” Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India,” International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2020
Oommen, Thomas,” Catastrophic flood of August 2018, Kerala, India: Study of partitioning role of lineaments in modulating flood level using remote sensing data,” Remote Sensing Applications: Society and Environment, Elsevier, 2020
Oommen, Thomas,” Indicator-based approach for assigning physical vulnerability of the houses to landslide hazard in the Himalayan region of India,” International Journal of Disaster Risk Reduction, Elsevier, 2020
Oommen, Thomas,” Monitoring and Mapping of Shallow Landslides in a Tropical Environment Using Persistent Scatterer Interferometry: A Case Study from the Western Ghats, India,” Geomatics, Multidisciplinary Digital Publishing Institute, 2020
Oommen, Thomas,” Rajamala Landslide: Continuation of a Never-ending Landslide Series,” Geological Society of India, Geological Society of India, 2020
Oommen, Thomas,” Synergistic use of ASTER, L-band ALOS PALSAR, and Hyperspectral AVIRIS-NG data for exploration of lode type gold deposit--a study in Hutti Maski Schist Belt, India,” Ore Geology Reviews, Elsevier, 2020

Paheding, Sidike,” Binary Chemical Reaction Optimization based Feature Selection Techniques for Machine Learning Classification Problems,” Expert Systems with Applications, Elsevier, 2020
Paheding, Sidike,” Data-driven Artificial Intelligence for Calibration of Hyperspectral Big Data,” IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE, 2021
Paheding, Sidike,” Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning,” Remote Sensing of Environment, Elsevier, 2021
Paheding, Sidike,” Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning,” Journal of Photogrammetry and Remote Sensing, ISPRS, 2021
Paheding, Sidike,” Leveraging very-high spatial resolution hyperspectral and thermal UAV imageries for characterizing diurnal indicators of grapevine physiology,” Remote Sensing, Multidisciplinary Digital Publishing Institute, 2020
Paheding, Sidike,” Trends in deep learning for medical hyperspectral image analysis,” IEEE Access, 2021
Paheding, Sidike,” U-net and its variants for medical image segmentation: A review of theory and applications,” IEEE Access, 2021
Rawashdeh, Nathir,” Visual feature extraction from dermoscopic colour images for classification of melanocytic skin lesions,” Eurasian Journal of Biosciences, Foundation for Environmental Protection and Research (FEPR), 2020
Wei, Hairong,” Characterization of a High Hierarchical Regulator, PtrGATA12, Functioning in Differentially Regulating Secondary Wall Component Biosynthesis in Populus trichocarpa,” Frontiers in Plant Science, Frontiers, 2021
Wei, Hairong,” Chromosome-level genome assembly of a regenerable maize inbred line A188,” Genome Biology, Springer Science and Business Media LLC, 2021
Wei, Hairong,” Comparative Proteomic Analysis of Leaves at Different Ages in Allotriploid Populus,” Forests, MDPI, 2020
Wei, Hairong,” Comparative proteomic analysis provides insight into the molecular mechanism of vegetative growth advantage in allotriploid Populus,” Genomics, Elsevier, 2021
Wei, Hairong,” DNA methylation and its effects on gene expression during primary to secondary growth in poplar stems,” BMC Genomics, Springer Nature, 2020
Wei, Hairong,” Factorial estimating assembly base errors using k-mer abundance difference (KAD) between short reads and genome assembled sequences,” NAR Genomics and Bioinformatics, Oxford University Press, 2020
Wei, Hairong,” Genome sequence and evolution of Betula platyphylla,” Horticulture Research, Nature, 2021
Wei, Hairong,” Growth-Regulating Factor 5 (GRF5)-mediated gene regulatory network promotes leaf growth and expansion in poplar,” The New Phytologist, New Phytologist Foundation, 2021
Wei, Hairong,” High-quality de novo assembly of the Eucommia ulmoides haploid genome provides new insights into evolution and rubber biosynthesis,” Horticulture Research, Nature, 2020
Wei, Hairong,” Overexpression ofBplERD15Enhances Drought Tolerance inBetula platyphyllaSuk,” Forests, MDPI, 2020
Wei, Hairong,” PuHox52-mediated hierarchical multilayered gene regulatory network promotes adventitious root formation in Populus ussuriensis,” The New Phytologist, New Phytologist Foundation, 2020
Wei, Hairong,” The diverse roles of cytokinins in regulating leaf development,” Horticulture Research, Springer Science and Business Media LLC, 2021
Wei, Hairong,” Toward an Understanding of the Detection and Function of R-loops in Plants,” Journal of Experimental Botany, Oxford University Press (OUP), 2021
Wei, Hairong,” Transcriptome comparison of different ploidy reveals the mechanism of photosynthetic efficiency superiority of triploid poplar,” Genomics, Elsevier, 2021
Wei, Hairong,” Transcriptome-wide identification and characterization of microRNAs in diverse phases of wood formation in Populus trichocarpa,” G3 Genes|Genomes|Genetics, Oxford University Press (OUP), 2021
Yuan, Xiaoyong,” Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning,” IEEE Internet of Things Journal, 2021
Zhou, Weihua,” 3D Fusion between Fluoroscopy Angiograms and SPECT Myocardial Perfusion Images to Guide Percutaneous Coronary Intervention,” Journal of Nuclear Cardiology, Springer, 2021
Zhou, Weihua,” A Novel Method for ECG Signal Classification via One-Dimensional Convolutional Neural Network,” Multimedia Systems, Springer, 2020
Zhou, Weihua,” A Review of Integrative Imputation for Multi-Omics ets,” Frontiers in Genetics, Frontiers, 2020
Zhou, Weihua,” Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Deep Learning Artificial Intelligence,” BMC Medicine, Springer Nature, 2021
Zhou, Weihua,” Comparison of left ventricular mechanical dyssynchrony parameters between exercise and adenosine triphosphate stress tests using gated single-photon emission computed tomography myocardial perfusion imaging,” Kardiologia Polska (Polish Heart Journal), Polish Cardiac Society, 2021
Zhou, Weihua,” Machine learning for the diagnosis of pulmonary hypertension,” Journal Kardiologia, 2020
Zhou, Weihua,” Prognostic value of integrated analysis of electrical and mechanical dyssynchrony in patients with acute heart failure,” Journal of Nuclear Cardiology, Springer, 2020
Zhou, Weihua,” Prognostic value of left ventricular mechanical dyssynchrony in hypertrophic cardiomyopathy patients with low to moderate risk of sudden cardiac death,” Nuclear Medicine Communications, Wolters Kluwer Health, 2020
Monographs
Ong, Benjamin,” Parallel-in-Time Integration Methods: 9th Parallel-in-Time Workshop, June 8-12, 2020,” Springer Proceedings in Mathematics & Statistics, Springer, 2021
Technical Reports
Bos, Jeremy,” Model based development of autonomous vehicle controls and sensing in a student design competition,” SAE Technical Paper, 2020
Oommen, Thomas,” Utilizing Hyperspectral Remote Sensing for Gradation of Soils,” Remote Sensing, 2020, US ARMY CCDC GVSC WARREN United States, 2020
Rawashdeh, Nathir,” Mobile Robot Localization Evaluations with Visual Odometry in Varying Environments Using Festo-Robotino,” SAE Technical Paper, 2020
Translations
Zhou, Weihua,” [11C] meta-hydroxyephedrine PET Evaluation in Experimental Pulmonary Arterial Hypertension: Effects of Carvedilol of Right Ventricular Sympathetic Function,” Journal of Nuclear Cardiology, Springer, 2020
Zhou, Weihua,” An optimized imaging protocol for [99mTc]Tc-DPD scintigraphy and SPECT/CT quantification in cardiac transthyretin (ATTR) amyloidosis,” Journal of Nuclear Cardiology, Springer, 2021
Zhou, Weihua,” Diagnostic and Prognostic Value of Technetium-99m Pyrophosphate Uptake Quantitation for Transthy1·etin Ca1·diac Amyloidosis,” Journal of Nuclear Cardiology, Springer, 2020
Zhou, Weihua,” Left ventricular ejection fraction, myocardial blood flow and hemodynamic variables in adenosine and regadenoson vasodilator 82-Rubidium PET,” Journal of Nuclear Cardiology, Springer, 2021
Zhou, Weihua,” Quantitative myocardial perfusion response to adenosine and regadenoson in patients with suspected coronary artery disease,” Journal of Nuclear Cardiology, Springer, 2021
Zhou, Weihua,” Relation between myocardial blood flow and cardiac events in diabetic patients with suspected coronary artery disease and normal myocardial perfusion imaging,” Journal of Nuclear Cardiology, Springer, 2020
Zhou, Weihua,” SPECT/CT imaging of lower extremity perfusion reserve: A non-invasive correlate to exercise tolerance and cardiovascular fitness in patients undergoing clinically indicated myocardial perfusion imaging,” Journal of Nuclear Cardiology, Springer, 2020

Book Chapter
Vertanen, Keith,” Probabilistic Text Entry-Case Study 3,” Intelligent Computing for Interactive System Design: Statistics, Digital Signal Processing, and Machine Learning in Practice, ACM, 2021
Conference Abstracts
Veinott, Elizabeth,” Challenges for Learning and Lab Work: Student and Faculty Perspectives from the COVID-19 Transition for a Mid-Sized STEM University,” ACM, 2020
Veinott, Elizabeth,” Improving rail safety at cognitively complex intersections: Examining the effect of short-storage crossings on driver precrash behavior and incident outcome,” Proc. Joint Rail Conference, 2021, Joint Rail Conference, 2021
Veinott, Elizabeth,” Looking forward or looking back: Examining the effect of perspective and collaboration on plan confidence and forecasts,” Proc. Society for Judgment and Decision Making Annual Conference, 2020, Society for Judgment and Decision Making Annual Conference, 2020
Conference Proceedings
An, H., Al-Mamun, M. S., Orlowski, M. K., Yi, Y., "A Three-dimensional (3D) Memristive Spiking Neural Network (M-SNN) System," Proceedings of 22nd International Symposium on Quality Electronic Design (ISQED), IEEE, Apr. 2021.
An, H., Bai, K., Yi, Y., "Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism," Proceedings of 22nd International Symposium on Quality Electronic Design, IEEE, Apr. 2021.
An, Hongyu, Ha, D.S., Yi, Y.,” Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system,” Proc. ACM International Conference on Nanoscale Computing and Communication, Sep. 2020.
Eiris, Ricardo,” Hazard-Recognition Training Using Omnidirectional Cinemagraphs: Comparison between Virtual Reality and Lecture-Based Techniques,” Proc. Construction Research Congress: Computer Applications, American Society of Civil Engineers, Nov. 2020.
Eiris, Ricardo,” InDrone: Visualizing Drone Flight Patterns for Indoor Building Inspection Tasks,” Proc. International Conference on Construction Applications of Virtual Reality (CONVR 2020), Teesside University Press, 2020
Eiris, Ricardo, Wen, J., Gheisari, M.,” iVisit: Digital Interactive Construction Site Visits Using 360-Degree Panoramas and Virtual Humans,” Proc. Construction Research Congress: Computer Applications, American Society of Civil Engineers, Nov. 2020.
Kuhl, Scott, Ding, F., Sepahyar, S.,” Effects of brightness on distance judgments in head mounted displays,” Proc. ACM Symposium on Applied Perception, Sep. 2020
Kuhl, Scott,” Methods for evaluating depth perception in a large-screen immersive display,” Proc. ACM Symposium on Spatial User Interaction (SUI), 2020
Kuhl, Scott,” Preface,” Proc. ACM Symposium on Spatial User Interaction, Oct. 2020.
Mueller, S. T., Agarwal, P., Linja, A., Dave, N., Alam, L., "The Unreasonable Ineptitude of Deep Image Classification Networks, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1) SAGE, Dec. 2020.
Smith, Samantha,” If you're happy and you know it stay alert: The effects of lighting on vigilance performance and affective state,” Proc. Human Factors and Ergonomics Society, 2021
Smith, Samantha,” Real life does not always get in the way: Verbal memory and the Sustained Attention to Response Task,” Proc. Human Factors and Ergonomics Society Annual Meeting, 64(1), SAGE, Dec.2020.
Smith, Samantha,” Speed accuracy modelling and the relationship to cerebral bloodflow in a signal detection task,” Proc. Human Factors and Ergonomics Society Annual Conference, 2020
Steelman, K. S., Amre, S. M., "Look, Ma, no hands! A preliminary study of educational interventions aimed at setting realistic expectations of semi-autonomous vehicle technology," Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1498-1502, SAGE, Dec. 2020.
Steelman, K. S., Riegner, K. L., "Driving in the Dust: Challenges and Lessons Learned from Field Testing in Degraded Visual Environments," Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), SAGE, Dec. 2020.
Trewartha, Kevin,” The influences of lighting conditions on lower limb muscle activations during balance recovery,” Proc. Human Factors and Ergonomics Society Annual Conference, 2020
Veinott, Elizabeth,” Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild,” Proc. International Conference on Human-Computer Interaction, Adaptive Instructional Systems, Design and Evaluation, Lecture Notes in Computer Science, 2021.
Veinott, Elizabeth,” Leveling Up: Using the Tracer Method to Address Training Needs for Esports Players,” Proc. Human Factors and Ergonomics Society Annual Meeting, 64(1), SAGE, Dec. 2020.

Veinott, Elizabeth,” Development of a generalized voice-controlled human-robot interface: One automatic speech recognition system for all robots,” Proc. International Human-Robot Interaction Conference, 2020
Veinott, E.S., Linja, A., Lautala, P., Nelson, D., "Rail safety: Examining the effect of driving experience and type of crossing on safety concerns," Human Factors and Ergonomics Society Meeting, SAGE, Oct. 2020.
Veinott, Elizabeth,” Developing an adaptive framework to support intelligence analysis,” Proc. HCII International Conference for Adaptive Instructional Systems, 2021
Veinott, Elizabeth,” HyWorM: An Experiment in Dynamic Improvement of Analytic Processes,” Proc. HCII International Conference for Adaptive Instructional Systems, 2021
Veinott, Elizabeth,” Principles of Explanation in Human-AI Systems,” ArXiv Preprint, arXiv:2102.04972, 2021
Veinott, Elizabeth,” Understanding Driver Behaviors: Examining the effect of driving experience and type of crossing on safety concerns,” Proc. Human Factors and Ergonomics Society Meeting/HFES Society/Sage, 2020
Veinott, Elizabeth,” Understanding Game Roles and Strategy Using a Mixed Methods Approach,” Proc. ACM Symposium on Eye Tracking Research and Applications, June 2021.
Vertanen, K., Gaines, D., Kristensson, P.O., "Enhancing the Composition Task in Text Entry Studies: Eliciting Difficult Text and Improving Error Rate Calculation," Proceedings of the ACM Conference on Human Factors in Computing Systems, 2021.
Vertanen, Keith,” Accelerating Text Communication via Abbreviated Sentence Input,” Proc. Joint Conference of Association for Computational Linguistics and International Joint Conference on Natural Language Processing, 2021
Vertanen, Keith,” Typing on Midair Virtual Keyboards: Exploring Visual Designs and Interaction Styles,” Proc. International Conference promoted on Human–Computer Interaction (INTERACT), 2021
Journal Articles
An, Hongyu,” Robust Deep Reservoir Computing through Reliable Memristor with Improved Heat Dissipation Capability,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2020
Eiris, R., Jain, A., Gheisari, M., Wehle, A., "Safety immersive storytelling using narrated 360-degree panoramas: a fall hazard training within the electrical trade context," Safety Science, 127, 104703, 2020.
Eiris, Ricardo,” DroneSim: A VR-based Flight Training Simulator for Drone-mediated Building Inspections,” Construction Innovation, Emerald Publishing, 2021
Eiris, Ricardo,” InDrone: A 2D-based Drone Flight Behavior Visualization Platform for Indoor Building Inspection,” Smart and Sustainable Built Environment, Emerald Publishing, 2021
Eiris, Ricardo,” iVisit – Practicing Problem-Solving in 360-Degree Panoramic Site Visits led by Virtual Humans,” Automation In Construction, Elsevier, 2021.
Eiris, Ricardo,” Online Hazard Recognition Training: A Comparative Case Study of Static Images, Cinemagraphs, and Videos,” Journal of Construction Engineering and Management, American Society of Civil Engineers (ASCE), 2021
Mueller, S. T., Hoffman, R. R., Clancey, W. J., "Explaining AI as an Exploratory Process: The Peircean Abduction Model," arXiv preprint arXiv:2009.14795, 2020.
Mueller, S. T., Veinott, E. S., Hoffman, R. R., Klein, G., Alam, L., Mamun, T., Clancey, W. J., "Principles of Explanation in Human-AI Systems," AAAI, arXiv preprint arXiv:2102.04972, 2021.
Mueller, S., Alam, L., "Examining the effect of explanation on satisfaction and trust in AI diagnostic systems," BMC Medical Informatics and Decision Making, 21(1), 2021.
Mueller, Shane,” Cognitive anthropomorphism of ai: How Humans and Computers Classify images,” Ergonomics in Design, SAGE Publications, 2020
Mueller, Shane,” The relationship between cingulum bundle integrity and different aspects of executive functions in chronic schizophrenia,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, Elsevier, 2020
Smith, S. L., Blakely, M. J., Russell, P. N., Helton, W. S., "The impact of cognitive load on climbing and climbing on cognitive performance" Applied Ergonomics, 2021.
Smith, S. L., Stets, A., Helton, W. S., "Dual-task interference between swimming and verbal memory, "Human Factors, 62(7), 2020.
Smith, Samantha,” Engaging the human operator: a review of the theoretical support for the vigilance decrement and a discussion of practical applications,” Theoretical Issues in Ergonomics Science, Taylor & Francis, 2020
Smith, Samantha,” Performance, hemodynamics, and stress in a two-day vigilance task: Practical and theoretical implications,” Human Factors, SAGE Publications, 2021
Vertanen, K., Adhikary, J., "Text Entry in Virtual Environments using Speech and a Midair Keyboard," IEEE Transactions on Visualization and Computer Graphics, 2021.
Vertanen, Keith,” Enhancing the Composition Task in Text Entry Studies: Eliciting Difficult Text and Improving Error Rate Calculation,” Proc. SIGCHI Conference on Human Factors in Computing Systems (CHI '21), 2021
Vertanen, Keith,” Mining, Analyzing, and Modeling Text Written on Mobile Devices,” Natural Language Engineering, Cambridge University Press, 2021
Vertanen, Keith,” Text Entry in Virtual Environments using Speech and a Midair Keyboard,” IEEE Transactions on Visualization and Computer Graphics, 2021

Conference Proceedings
Nekritch, Yakov,” Fast preprocessing for optimal orthogonal range reporting and range successor with applications to text indexing,” Proc. European Symposium on Algorithms, 2020, Leibniz International Proceedings in Informatics, LIPIcs, 2020
Nekritch, Yakov,” New Data Structures for Orthogonal Range Reporting and Range Minima Queries,” Proc. ACM-SIAM Symposium on Discrete Algorithms, 2020
Qiu, Junqiao,” Scalable FSM Parallelization via Path Fusion and Higher-Order Speculation,” Proc. International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2021), ACM, 2020
Qiu, Junqiao,” Scalable Structural Index Construction for JSON Analytics,” Proc. International Conference on Very Large Data Bases ( VLDB 2021), ACM, 2020
Wang, Zhenlin,” A Virtual Machine Memory Access Feature Extraction Method under Sunway Architecture,” Proc. China Computer Federation, Advanced Computer Architecture, 2020
Wang, Zhenlin,” Dynamically Configuring LRU Replacement Policy in Redis,” Proc. International Symposium on Memory Systems (MemSys '20), 2020
Wang, Zhenlin,” GraphSpy: Fused Program Semantic Embedding through Graph Neural Networks for Memory Efficiency,” Proc. Design Automation Conference (DAC), 2021
Wang, Zhenlin,” Swift Shadow Paging (SSP): No Write-protection but Following TLB Flushing,” Proc. ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2021
Yue, Jianhui,” Improving the Performance of NVM Crash Consistency under Multicore,” Proc. IEEE International Conference on Computer Design (ICCD), 2020
Yue, Jianhui,” Efficient Hardware-assisted Out-place Update for Persistent Memory,” Proc. IEEE Design, Automation and Test in Europe Conference (DATE), 2021
Yue, Jianhui,” Object Fingerprint Cache for Hybrid Memory System,” Proc. ACM/SIGARCH International Conference on Supercomputing, 2021, 2020
Journal Articles
Onder, Soner,” Decreasing the Miss Rate and Eliminating the Performance Penalty of a Data Filter Cache,” ACM Transactions on Architecture and Compiler Optimizations, 2020
Wang, Zhenlin,” Penalty and Locality Aware Memory Allocation in RedisUsing Enhanced AET,” ACM Transactions on Storage, 2021

CONFERENCE PRESENTATIONS

Bo Chen, “Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV,” IEEE Vehicular Technology Conference, Honolulu, HI, Sep. 25, 2019. (Lecture)

Bo Chen, “Receding Horizon Control for Mode Selection and Powertrain Control of a Multi-mode Hybrid Electric Vehicle,” IEEE Vehicular Technology Conference, Honolulu, HI, Sep. 25, 2019. (Lecture)

JOURNAL ARTICLES

Chen, B., C. Cao, Z. Wu, “Electric Vehicle – Grid Integration with Voltage Regulation in Radial Distribution Networks,” Energies, vol. 13, iss. 7, Apr. (2nd Quarter/Spring) 2020

Chen, B., J. Oncken, “Real-Time Model Predictive Powertrain Control for a Connected Plug-In Hybrid Electric Vehicle,” IEEE Trans. Vehicular Technology.

Liu, Z., “A Multivariate Freezing-Thawing Depth Prediction Model for Spring Load Restriction,” Cold Regions Science and Technology, vol. 167, Nov. 2019.

Liu, Z., T. Bao, “Evaluation of Winkler model and Pasternak model for dynamic soil-structure interaction analysis of structures partially embedded in soils,” Int'l Journal of Geomchanics, vol. 20, iss. 2, Feb. 2020

Liu, Z., “Geothermal Energy from Flooded Mines: Modeling of Transient Energy Recovery with Thermohaline Stratification,” Energy Conversion and Management, vol. 199, Nov. 2019.

Liu, Z., “Modeling of Coupled Soil Heat and Moisture Transport Beneath a Surface Fire,” Int'l Journal of Heat and Mass Transport, vol. 149, Mar. 2020.

Sun, Y., R. Wang, D. Jia, J. Zhao, T. Liu, “Non-invasive respiration rate and tidal volume monitor using an in-line Mach-Zehnder interferometric sensor,” OSA Biomedical Optics Express, Jan. (1st Quarter/Winter) 2020.

Tang, J., Z. Hu, P. Zhang, J. Jiang, “Deep learning for the Identification of Bruised Apples by Fusing 3D Deep Features for Apple Grading Systems,” Mechanical System and Signal Processing, Elsevier, 2020.

Ten, C., Y. Guo, “Cybersecurity of Distribution Devices and Systems,” Smart Grid Handbook, John Wiley & Sons, Ltd.

Ten, C., N. Kovac, J. Anders, T. Kilic, R. Bulbul, P. Sapkota, L. Wang, A. Ginter, “Single-Phase Transformer Harmonics Produced During Geomagnetic Disturbances: Theory, Modeling.

Ten, C., “Transitioning to Networked Microgrids: Leveraging Existing Capacity and Technologies.”

Zhang, K., Y. Tang, S. Zhao, C. Ten, “Establishment of Enhanced Load Modeling by Correlating With Occupancy Information,” IEEE Trans. Smart Grid, vol. 11, iss. 2, pp. 1202-1713, Mar. 1, 2020.

Zhang, K., S. Zhao, “A Distributionally Robust Stochastic Optimization based Model Predictive Control with Distributionally Robust Chance Constraints for cooperative Adaptive Cruise Control under Uncertain Traffic Conditions,” Transportation Research Part B: Methodological, Elsevier.

Zhang, K., S. Ko, P. Lautala, “Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling,” Sustainability, vol. 11, iss. 12, June 3, 2020.

Zhang, K., S. Ko, P. Lautala, “Log Truck Value Analysis from Increased Rail Usage,” Forests, vol. 11, iss. 6, June 12, 2020.

CONFERENCE PROCEEDINGS

Bae, J.Y., S. Rathinam, R. Ravi, J. Bae, K. Sundar, “Primal-Dual 2-Approximation Algorithm for the Monotonic Multiple Depot Heterogeneous Traveling Salesman Problem,” Proc. of 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2020), Schloss Dagstuhl-Leibniz-Zentrum fur Informatik, vol. 162, pp. 33:1-13, 2020.

Chen, B., J. Oncken, J. Orlando, P. Bhat, B. Narodzonek, C. Morgan, D. Robinette, J. Naber, “A Connected Controls and Optimization System for Vehicle Dynamics and Powertrain Operation on a Light-Duty Plug-in Multi-Mode Hybrid Electric Vehicle,” Proc. of SAE 2020 World Congress, Apr. (2nd Quarter/Spring) 2020.

Chen, B., X. Wang, A. Khameneian, P. Dice, M. Shahbakhti, J. Naber, C. Archer, Q. Qu, C. Glugla, G. Huberts, “Control-Oriented Model-Based Burn Duration and Ignition Timing Prediction with Recursive-Least-Square Adaptation for Closed-Loop Combustion Phasing Control of Spark-Ignition Engines,” ASME 2019 Dynamic Systems and Control Conference, Oct. (4th Quarter/Autumn) 2019.

Chen, B., P. Bhat, J. Oncken, “Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV,” Proc. of 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Sep. 22, 2019.

Chen, B., H. Wang, J. Oncken, “Receding Horizon Control for Mode Selection and Powertrain Control of a Multi-mode Hybrid Electric Vehicle,” Proc. of 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Sep. 22, 2019.

Chen, B., Z. Wu, C. Cao, “Transactive Energy Based Approach for Large-Scale Plug-in Electric Vehicle Charging Control,” Proc. of 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Dec. 2019.

Tang, J., “Scene Classification via Learning a Multi-Branch Convolutional Network,” Proc. of 2019 IEEE Int'l Conference on Systems, Man and Cybernetics (SMC), pp. 2047-2551, Oct. 6-9, 2019.

Zhang, K., A. Jalooli, M. Song, “A Novel Clustering Scheme for Heterogeneous Vehicular Networks,” IEEE Int'l Conference on Communications 2020 (IEEE ICC 2020).

Zhang, K., L. Elefteriadou, B. Leonard, L. Du, W. Ma, J. Liu, J. Ma, Z. Song, X. Li, S. Erdogan, “Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management,” Road Vehicle Automation 7, Springer, July (3rd Quarter/Summer) 2020.

CONFERENCE PRESENTATIONS
Bo Chen, “EAGER: Enabling Secure Data Recovery for Mobile Devices against Malicious Attacks,” NSF Secure and Trustworthy CyberSpace Principal Investigators’ Meeting, Nat’l Science Foundation, Oct. 28, 2019. (Poster)
JOURNAL ARTICLES
Chen, B., X. Meng, S. Wang, K. Shu, J. Li, H. Liu, Y. Zhang, “Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings,” World Wide Web: Internet and Web Information Systems, Nov. 1, 2019.
Wall, J., M. Warkentin, “Perceived argument quality's effect on threat and coping appraisals in fear appeals: An experiment and exploration of realism check heuristics,” Information and Management, vol. 56, iss. 8, Nov. 2019.
CONFERENCE ABSTRACTS
Chen, B., N. Chen, “A Secure Plausibly Deniable System for Mobile Devices against Multi-snapshot Adversaries,” 2020 IEEE Symposium on Security and Privacy (S&P '20), Vol. , Iss. , pp. , May , 2020
Chen, B., W. Xie, N. Chen, Incorporating Malware Detection into The Flash Translation Layer,” 2020 IEEE Symposium on Security and Privacy (S&P '20), Vol. , Iss. , pp. , May , 2020
CONFERENCE PROCEEDINGS
Chen, B., W. You, L. Liu, J. Jing, “Deduplication-friendly Watermarking for Multimedia Data in Public Clouds,” The 25th European Symposium on Research in Computer Security (ESORICS '20), Sep. 2020.
Hembroff, G., “The Design of a Holistic mHealth Community Library Model and its impact on Empowering Rural America,” Proc. of MobileHealth 2019, Springer, vol. 320, 2019.
Mayo, J., M. Wang, J. Walker, S. Carr, C-K. Shene, “A System for Visualizing the Process Address Space in the Context of Teaching Secure Coding in C,” Proc. of 51st ACM Technical Symposium on Computer Science Education.
Mayo, J., W. Al-Mawee, P. Bonamy, S. Carr, “Maia: A Language for Mandatory Integrity Controls of Structured Data,” Proceedings of the 5th Int'l Conference on Information Systems Security and Privacy, ICISSP 2019, Prague, Czech Republic, Feb. 23-25, 2019, pp. 257-265, 2019.
Mayo, J., J. Walker, M. Wang, S. Carr, C-K. Shene, “Teaching Integer Security Using Simple Visualizations,” Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019, pp. 513-519, 2019.

CONFERENCE PRESENTATIONS
Jeremy Bos (Presenter) “Issues Validating Extended Rytov Theory via Wave Optics Simulation,” AFRL Direct Energy Aero-Effects and Deep Turbulence Workshop, Air Force Research Lab, Dec. 12, 2019. (Workshop)
Jeremy Bos, “Workshop on non-Kolmogorov and Associated Phenomena,” Workshop on non-Kolmogorov and Associated Phenomena, Fraunhofer Inst. of Optronics, System Technologies and Image Exploitation IOSB, Jul. 3, 2019. (Workshop)
Timothy Havens (Presenter, Author), “Introduction to Deep Learning,” Programming Seminar Series, Graduate Student Gov't, Michigan Tech, Jul. 16, 2020. (Seminar)
Timothy Havens (Presenter, Author), “Introduction to Machine Learning with Python,” Programming Seminar Series, Graduate Student Gov't, Michigan Tech, Jul. 14, 2020. (Seminar)
Timothy Havens, “Explainable Deep Fusion,” ISR-2 Seminar Series: Advancing Toward Modern Detection and Estimation Techniques for Multi-Sensor Scenarios, Los Alamos Nat’l Lab, Jul. 1, 2020. (Seminar)
Benjamin Ong, “The Science + Math in Data Science,” SIAM Student Activity Group Meeting, Michigan Tech, Feb. 12, 2020. (Seminar)
SOFTWARE
Ong, B., B. Ong, S. Dhamankar, “Boundary Integral Treecode,”, Sep. 2019
TECHNICAL REPORTS
Schulz, T., R. Paxman, Seldin, J. Miller, “Advanced reconstruction algorithms for space-object imaging.”
Schulz, T., “An investigation of multi-channel LADAR processing.”
Schulz, T., “CAREER: Image recovery from multiple intensity measurements.”
Schulz, T., “Development and analysis of mine-detection algorithms for the Lightweight Airborne Multispectral Minefield Detection-Interim.”
Schulz, T., “Estimation of the squared modulus of the complex coherence factor from amplitude or intensity measurements at high light-levels.”
Schulz, T., “Estimation-theoretic methods for unconventional imaging.”
Schulz, T., “Heterodyne Array Imaging.
Schulz, T., J. Fienup, J. Marron, R. Paxman, J. Seldin, Thelen, “Image inversion analysis of the Hubble Space Telescope.”
Schulz, T., “Image recovery from coherent speckle images with registration errors.”
Schulz, T., N. Wen, “Image restoration for the Hubble Space Telescope.
Schulz, T., J. Cederquist, M. Eismann, K. Ellis, J. Lange, T. Rogne, C. Schwartz, J. Seldin, “Infrared multispectral sensor program, Phase 1: model-based performance predictions.”
Schulz, T., J. Miller, “Multiframe blind deconvolution for satellite imaging.”
Oommen, T., S. Kochappi Sathyan, “Landslide Atlas of Kerala,” Geological Soc. of India,” Dec. 2019
TRANSLATIONS
Zhou, W., Z. He, H. Tang, M. Zhao, W. Zhou, “99mTechnetium pyrophosphate scintigraphy with cadmium zinc telluride cameras is a highly sensitive and specific imaging modality to diagnose transthyretin cardiac amyloidosis La gammagrafı´a con tecnecio 99 m pirofosfato (99mTc-PYP) con ca´maras de teluro de zinc y cadmio es una modalidad de imagen con alta sensibilidad y especificidad para diagnosticar amiloidosis cardı´aca por transtiretina,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
JOURNAL ARTICLES
Ghosh, S., U. Yadav, M. Coldren, P. Bulusu, T. Sain, “Interface fracture of micro-architectured glass: Inverse identification of interface properties and a novel analytical model,” Mechanics of Materials, vol. 137, October (4th Quarter/Autumn) 2019.
Han, S.Y., T. Isogai, K. Dean, P. Roudot, Q. Shao, J. Cillay, E. Welf, M. Driscoll, S. Royer, N. Mittal, B-J. Chang, others, “Direct Arp2/3-vinculin binding is essential for cell spreading, but only on compliant substrates and in 3D,” bioRxiv, Cold Spring Harbor Laboratory, 2019
Han, S.Y., A. Mohan, K. Dean, T. Isogai, S. Kasitinon, V. Murali, P. Roudot, A. Groisman, D. Reed, E. Welf, others, “Enhanced Dendritic Actin Network Formation in Extended Lamellipodia Drives Proliferation in Growth-Challenged Rac1P29S Melanoma Cells,” Developmental Cell, Cell Press, vol. 49, iss. 3, pp. 444-460, 2019.
Han, S.Y., K. Dean, A. Whitewood, A. Bachir, E. Guttierrez, A. Groisman, R. Horwitz, B. Goult, G. Danuser, “Formation of talin-vinculin pre-complexes dictates maturation of nascent adhesions by accelerated force transmission and vinculin recruitment,” BioRxiv, 2019.
Han, S.Y., I. Manifacier, K. Beussman, N. Sniadecki, I. About, J-L. Milan, “The consequence of substrates of large-scale rigidity on actin network tension in adherent cells,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, pp 1-10, 2019.
Havens, T., M. Islam, D. Anderson, J. Ball, “A Generalized Fuzzy Extension Principle and Its Application to Information Fusion,” IEEE Trans. Fuzzy Systems.
Havens, T., S. Kabir, C. Wagner, D. Anderson, “A similarity measure based on bidirectional subsethood for intervals,” IEEE Trans. Fuzzy Systems.
Havens, T., I. Cummings, J. Doane, T. Schulz, “Aperture-level simultaneous transmit and receive with digital phased arrays,” IEEE Trans. Signal Processing, vol. 68, iss. 1, pp. 1243-1258, Dec. 2020.
Havens, T., M. Islam, D. Anderson, A. Pintar, G. Scott, J. Keller, “Enabling explainable fusion in deep learning with fuzzy integral neural networks,” IEEE Trans. Fuzzy Systems, vol. 28, iss. 7, pp. 1291-1300, July (3rd Quarter/Summer) 2020.
Havens, T., B. Murray, M. Islam, A. Pinar, D. Anderson, G. Scott, J. Keller, “Explainable AI for the Choquet Integral,” IEEE Trans. Emerging Topics in Computational Intelligence.
Havens, T., S. Yazdanparast, M. Jamalabdollahi, “Linear time community detection by a novel modularity gain acceleration in label propagation,” IEEE Trans. Big Data.
Havens, T., S. Kakula, A. Pinar, M. Islam, D. Anderson, “Novel regularization for learning the fuzzy Choquet integral with limited training data,” IEEE Trans. Fuzzy Systems.
Havens, T., J. Bialas, T. Oommen, “Optimal segmentation for building class in high spatial resolution images using random forests,” Int. J. Applied Earth Observations and Geoinformation, Elsevier, vol. 82, Oct. (4th Quarter/Autumn) 2019.
Havens, T., S. Yazdanparast, M. Jamalabdollahi, “Soft overlapping community detection in large-scale networks via fast fuzzy modularity maximization,” IEEE Trans. Fuzzy Systems.
Ong, B., J. Schroder, “Applications of Time Parallelism.”
Ong, B., R. Spiteri, “Deferred Correction Methods for Ordinary Differential Equations.”
Ong, B., S. Dhamankar, “Towards an Adaptive Treecode Algorithm for N-body Problems,” Journal of Scientific Computing, Feb. 2020.
Oommen, T., Bouali, R. Escobar Wolf, “New paradigm in geotechnical performance monitoring using remote sensing,” Transactions in Civil and Environmental Engineering (STICEE), Springer, 2019.
Oommen, T., P. Addison, Q. Sha, “Assessment of post-wildfire debris flow occurrence using classifier tree,” Geomatics, Natural Hazards and Risk, 2019.
Oommen, T., C. Kumar, S. Chatterjee, A. Guha, “Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India,” Int'l Journal of Applied Earth Observation and Geoinformation, Elsevier, vol. 86, 2020.
Oommen, T., R. Oats, R. Escobar Wolf, “Evaluation of Photogrammetry and Inclusion of Control Points: Significance for Infrastructure Monitoring,” Data, vol. 4, iss. 1, 2019.
Oommen, T., E. Bouali, R. Escobar Wolf, “Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California,” Remote Sensing, vol. 11, iss. 8, 2019.
Oommen, T., L. Weidner, K. DePrekel, S. Vitton, “Investigating large landslides along a river valley using combined physical, statistical, and hydrologic modeling,” Engineering Geology, 2019.
Oommen, T., A. Tibaldi, P. Oppizzi, J. Gierke, N. Tsereteli, Gogoladze, “Landslides near Enguri dam (Caucasus, Georgia) and possible seismotectonic effects,” Natural Hazards and Earth System Sciences, vol. 19, 2019.
Oommen, T., C. Kumar, S. Chatterjee, “Mapping hydrothermal alteration minerals using high-resolution AVIRIS-NG hyperspectral data in the Hutti-Maski gold deposit area, India,” Int'l Journal of Remote Sensing, Taylor & Francis, 2019.
Oommen, T., J. Bialas, T. Havens, “Optimal segmentation of high spatial resolution images for the classification of buildings using random forests,” Int'l Journal of Applied Earth Observation and Geoinformation, Elsevier, vol. 82, 2019.
Oommen, T., P. Addison, “Post-fire debris flow modeling analyses: case study of the post-Thomas Fire event in California,” Natural Hazards, Springer Netherlands, 2019.
Oommen, T., S. Keerthy, C.L. Vishnu, S. Li, N. Reshma, M.N. Praveen, S.P. Singh, K.S. Sajinkumar, “Reconstructing the dimension of Dhala Impact Crater, Central India, through integrated geographic information system and geological records,” Planetary and Space Science, Pergamon, 2019.
Oommen, T., C. Vishnu, K.S. Sajinkumar, T. Oommen, R. Coffman, Thrivikramji, Rani, S. Keerthy, “Satellite data based assessment of the catastrophic flood of august 2018 in parts of coastal Kerala, India.,” Geomatics, Natural Hazards and Risk, 2019.
Rawashdeh, N., W. Al-Zyoud, A. Helou, E. AlQasem, “Visual feature extraction from dermoscopic  colour images for classification of melanocytic skin lesions,” Eurasian Journal of Biosciences, 2020, vol. 14 iss. 1, pp. 1299-1307, June 12, 2020.
Roggemann, M., J. Bos, “A Technique for Simulating Anisoplanatic Image Formation Over Long Horizontal Paths,” Optical Engineering, SPIE.
Roggemann, M., J. Dolne, B. Ellerbroek, M. Vorontsov, “Applied Optics Feature Issue on Wavefront Sensing, Imaging, and Image Enhancement,” Optical Soc. of America, vol. 48, iss. 1.
Roggemann, M., J. Bos, “Blind Image Quality Metrics for Optimal Speckle Image Recons.truction in Horizontal Imaging Scenarios,” Optical Engineering, SPIE, vol. 51, iss. 10.
Roggemann, M., A. Sergeyev, P. Piatrou, “Bootstrap beacon creation for overcoming the effect of beacon anisoplanatisn in laser beam projection system,” Appl. Opt., vol. 47, pp. 2399-2413.
Roggemann, M., D. Voelz, “Digital simulation of scalar optical diffraction: chirp sampling criteria and consequences,” Applied Optics, vol. 48, pp. 6132-6142.
Roggemann, M., K. Drexler, “Method for determining the spatial correlation width of a Gaussian-Schell beam to optimize the scintillation index over long horizontal turbulent paths,” Optical Engineering, SPIE, vol. 51, Iss. 2.
Roggemann, M., K. Drexler, “Method for determining the spatial correlation width of a Gaussian-Schell beam to optimize the scintillation index over long horizontal turbulent paths,” Optical Engineering, SPIE, vol. 51.
Roggemann, M., S. Lyke, D. Voelz, “Probability density of aperture averaged irradiance fluctuations for long range free space optical communication links,” Applied Optics, vol. 48, pp. 6511-6527
Roggemann, M., G. Archer, J. Bos, “Reconstruction of long horizontal-path images under anisoplanatic conditions using multiframe blind deconvolution,” Optical Engineering, SPIE, vol. 52, iss. 8.
Roggemann, M., “Robustness of Speckle Imaging Techniques Applied to Horizontal Imaging Scenarios,” Optical Engineering, SPIE.
Roggemann, M., J. Bos, “Robustness of Speckle Imaging Techniques Applied to Horizontal Imaging Scenarios,” Optical Engineering, SPIE, vol. 51, iss. 8.
Roggemann, M., J. Bos, “Technique for simulating anisoplanatic image formation over long horizontal paths,” Optical Engineering, SPIE, vol. 51, iss. 10.
Roggemann, M., K. Drexler, D. Voelz, “Use of a partially coherent transmitter beam to improve the statistics of received power in a free-space optical communication system: theory and experimental results,” Optical Engineering, SPIE, vol. 50.
Roggemann, M., N. Riegel, C. Middlebrook, K. Kruse, “Using the 3D beam propagation method to model the effects of lithographic roughness on the attenuation of highly multimodal polymer waveguides,” Journal of Vacuum Science and Technology B, vol. 31.
Zhou, W., T. Wang, Y. Lei, H. Tang, Z. He, R. Castillo, C. Wang, D. Li, K. Higgins, T. Liu, W. Curran, X. Yang, “A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
Zhou, W., X. Zhang, Z. Qian, H. Tang, W. Hua, Y. Su, G. Xu, X. Liu, X. Xue, J. Fan, L. Cai, L. Zhu, Y. Wang, X. Hou, E. Garcia, J. Zou “A new method to recommend left ventricular lead positions for improved CRT volumetric response and long-term prognosis,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
Zhou, W., G. Hung, J. Chen, “A perfect tool for comprehensive evaluation of myocardial perfusion and function: Stress PET imaging,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
Zhou, W., Z. Qian, Y. Wang, X. Hou, Y. Qiu, Z. Jiang, H. Wu, Z. Zhao, J. Zou, “A pilot study to determine if left ventricular activation time is a useful parameter for left bundle branch capture: Validated by ventricular mechanical synchrony with SPECT imaging.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, April (2nd Quarter/Spring) 2020.
Zhou, W., M. Song, J. Greenbaum, J. Luttrell, P. Gong, W. Zhou, H. Shen, C. Zhang, H. Deng, “A Review of Integrative Imputation for Multi-Omics Datasets,” Frontiers in Genetics.
Zhou, W., F. Zhu, X. Li, D. McGonigle, H. Tang, Z. He, C. Zhang, G-U. Hung, P-Y. Chiu, “Analyze Informant-based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning,” IEEE Journal of Translational Engineering in Health and Medicine, 2019.
Zhou, W., Y. Zhou, D. Li, H. Tang, Y. Xu, C. Wang, Z. Jiang, F. Xu, Z. Zhao, C. Li, S. Tang, L. Tang, “Development and validation of a new method to diagnose apical hypertrophic cardiomyopathy by gated single-photon emission computed tomography myocardial perfusion imaging,” Nuclear Medicine Communications, Wolters Kluwer, vol. 40, iss. 3, pp. 206-211, 2019.
Zhou, W., X. Hou, Z. Qian, Y. Wang, Y. Qiu, X. Chen, H. Jiang, Z. Jiang, H. Wu, Z. Zhao, J. Zou, “Feasibility and cardiac synchrony of permanent left bundle branch pacing through the interventricular septum,” EP Europace, Oxford University Press, vol. 21, iss. 11, pp. 1694-1702, 2019.
Zhou, W., W. Xin, X. Yang, J. Wang, X. Shao, F. Zhang, Y. Shi, B. Liu, W. Yu, H. Tang, Z. Wu, Y. Wang, “Gated single-photon emission computed tomography myocardial perfusion imaging is superior to computed tomography attenuation correction in discriminating myocardial infarction from attenuation artifacts in men and right coronary artery disease,” Nuclear Medicine Communications, Wolters Kluwer, vol. 40, iss. 5, pp. 491-498, 2019.
Zhou, W., F. Zhang, J. Wang, X. Shao, M. Yang, Y. Qian, X. Yang, Z. Wu, S. Li, W. Xin, Y. Shi, B. Liu, W. Yu, Z. He, Wang, “Incremental value of myocardial wall motion and thickening to perfusion alone by gated SPECT myocardial perfusion imaging for viability assessment in patients with ischemic heart failure.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, Feb. 14, 2020.
Zhou, W., C. Wang, J. Shi, J. Ge, H. Tang, Z. He, Y. Liu, Z. Zhao, P-Y. Li, K. Gu, X. Hou, M. Chen, J. Zou, L. Zhou, E. Garcia, Li, “Left ventricular systolic and diastolic dyssynchrony to improve cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, May 13, 2020.
Zhou, W., F. Meng, Z. Zhang, X. Hou, Z. Qian, Y. Wang, Y. Chen, Y. Wang, Y. Zhou, Z. Chen, X. Zhang, J. Yang, J. Zhang, J. Guo, K. Li, L. Chen, R. Zhuang, H. Jiang, S. Tang, Y. Wei, J. Zou, “Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China,” BMJ open, British Medical Journal Publishing Group, vol. 9, iss. 5.
Zhou, W., F. Zhu, D. Xu, Y. Liu, K. Lou, Z. He, H. Zhang, Y. Sheng, R. Yang, X. Li, X. Kong, H. Zhang, “Machine learning for the diagnosis of pulmonary hypertension,” Journal Kardiologia, June 1, 2020.
Zhou, W., F. Zhu, X. Li, H. Tang, Z. He, C. Zhang, G-U. Hung, P-Y. Chiu, Zhou, “Machine learning for the preliminary diagnosis of senile dementia,” Scientific Programming, Hindawi, Mar. 7, 2020.
Zhou, W., J. Wang, Y. Wang, M. Yang, S. Shao, Y. Tian, X. Shao, S. Fan, F. Zhang, W. Yang, W. Xin, H. Tang, M. Xu, L. Yang, X. Wang, “Mechanical contraction to guide crt left-ventricular lead placement instead of electrical activation in myocardial infarction with left ventricular dysfunction: An experimental study based on non-invasive gated myocardial perfusion imaging and invasive electroanatomic mapping,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer.
Zhou, W., P. Chiu, H. Tang, C. Wei, C. Zhang, G-U. Hung, “NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia,” PloS One, Public Library of Science, vol. 14, iss. 3, 2019.
Havens, T., J. Keller, “Conference Report on 2019 IEEE Int'l Conference on Fuzzy Systems (FUZZ-IEEE 2019),” IEEE Computational Intelligence Magazine, vol. 15, iss. 1, Jan. 10, 2020 (1st Quarter/Winter).
CONFERENCE ABSTRACTS
Oommen, T., J. Kendrick, L. Schaefer, A. Hughes, A. Lamar, G. Chigna, Y. Lavallee, “Assessing volcanic flank instability using geomechanical properties: A case study from Pacaya volcano (Guatemala).,” Proc. of European Geophysical Union (EGU) General Assembly, April 7-12, 2019, 2019.
Oommen, T., K. Sajinkumar, R. Coffman, C. L. Vishnu, “Characteristics of landslides from Idukki, Kerala from the 2018 August rain events.,” 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
Oommen, T., C. Kumar, S. Chatterjee, W.H. Farrand, “Detecting Hydrated Minerals in Libya Montes, Mars using MRO CRISM Hyperspectral Data.,” Proc. of 50th Lunar and Planetary Science Conference, March 18-22, 2019.
Oommen, T., K. Kring, S. Chatterjee, “Exploring the need for improved precipitation measurements for rainfall-induced landslide hazard characterization.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
Oommen, T., J. Raval, K. Sajinkumar, “Identifying and mapping the locations of landslides after the 2018 floods in Kerala, India using remotely sensed satellite imagery.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
Oommen, T., C. Kumar, S. Chatterjee, A. Guha, “Implementing Spectral and Textual Characteristics of Rocks for Improved Lithological Mapping using Machine Learning Algorithms,” Proc. of AGU Fall Meeting 2019.
Oommen, T., C. Kumar, S. Chatterjee, “Lithological mapping in Hutti-Maski gold mineralization area India using AVIRIS-NG hyperspectral data and machine learning algorithms.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
Oommen, T., K.S. Sajinkumar, C.L. Vishnu, “SAR based assessment of 2018 Kerala Floods,” Proc. of AGU Fall Meeting 2019.
Oommen, T., C. Vishnu, K. Sajinkumar, “SAR based assessment of 2018 Kerala floods.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
Oommen, T., K. Kring, S. Chatterjee, “Spatial Resolution Improvement of Precipitation Measurements for Explaining Rainfall Related Landslide Hazards,” Proc. of AGU Fall Meeting 2019.
Oommen, T., J. Ewing, P. Jayakumar, R. Alger, “Terrain Strength Characterization Using Remote Sensing,” Proc. of AGU Fall Meeting 2019.
Oommen, T., J. Ewing, J. Paramsothy, R. Alger, “Terrain strength characterization using remote sensing.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
Zhou, W., Z. He, H. Tang, D. McGonigle, C. Zhang, Z. Jiang, “A Deep-Learning-Based Segmentation Method for Left Ventricle on Gated SPECT Myocardial Perfusion Images,” Proc. of Conference of Midsouth Computational Biology & Bioinformatics Soc., 2019.
Zhou, W., X. Zhang, Z. Qian, H. Tang, W. Hua, Y. Su, G. Xu, X. Liu, X. Xue, J. Fan, L. Cai, L. Zhu, Y. Wang, X. Hou, E. Garcia, J. Zou “A new method to recommend appropriate left-ventricular lead positions for improved cardiac resynchronization therapy volumetric response and long-term prognosis,” Proc. of Heart Rhythm Soc. 2019.
Zhou, W., D. McGonigle, C. Zhao, H. Tang, C. Zhang, Z. He, R. Bober, “Deep Learning to Extract Coronary Arteries from Fluoroscopy Angiography,” Proc. of Conference of Midsouth Computational Biology & Bioinformatics Soc. 2019.
Zhou, W., M. Song, J. Greenbaum, J. Luttrell, H. Shen, P. Gong, H. Deng, C. Zhang1, “Imputation of Genome-Wide Association Study Data Using Autoencoders,” Proc. of MS IDeA 2019.
Zhou, W., C. Wang, J. Shi, Z. Zhao, C. Li, H. Tang, Z. He, D. Li, “Left ventricular systolic and diastolic dyssynchrony to predict cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy,” Proc. of ASNC 2019, Springer.
Zhou, W., Z. Deng, M. Zhao, R. Li, Y. Liu, F. Zhu, X. Li, “Texture Analysis on Myocardial Perfusion SPECT to Diagnose Myocarditis,” Journal of Nuclear Medicine, Soc. of Nuclear Medicine, vol. 60, iss. supplement 1, pp. 1433, 2019.
CONFERENCE PROCEEDINGS

Sergeyev, A., Minerick, A., & Irwin, J. (2020). Innovative and Interdisciplinary Approach for Offering the Master of Science Degree in Mechatronics. Proceedings of the 2020 Conference for Industry and Education Collaboration, ASEE.
Bos, J., “Anisoplanatic Differential Tilt Measurements,” Proc. of Laser Communications System Experiment: Propagation Through and Characterization of Atmospheric and Oceanic Phenomena,” 2019.
Bos, J., S. Kysar, D. Chopp, A. Kurup, J. Rice, D. Robinette, “Localization and mapping performance of two LiDAR systems in unstructured environments,” Proc. of Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2019.
Bos, J., N. Spike, J. Beard, D. Robinette, “Wheel alignment effects on autonomous vehicle control vs human driver in simulation,” Proc. of Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2019.
Havens, T., S. Kakula, A. Pinar, D. Anderson, “Choquet integral ridge regression,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
Havens, T., S. Kakula, A. Pinar, D. Anderson, “Extended linear order statistic (ELOS) aggregation and regression,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
Havens, T., A. Wilbik, T. Wilkin, “On a paradox of extended linguistic summaries,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
Oommen, T., C. Kumar, S. Chatterjee, W. Farrand, “Detecting Hydrated Minerals in Libya Montes, Mars Using MRO CRISM Hyperspectral Data,” Proc. of Lunar and Planetary Science Conference, vol. 50, 2019.
Roggemann, M., J. Bos, W. Norkus, M. Mauer, D. Sims, C. Middlebrook, “An investigation into the Paulding Mystery Lights,” SPIE, vol. 82460N.
Roggemann, M., J. Bos, A. Sergeyev, A., M. Roggemann, “Anisoplanatism over horizontal path: comparison of theoretical and experimental results,” SPIE, vol. 8246.
Roggemann, M., J. Bos, “Mean squared error performance of speckle imaging using the bispectrum in horizontal imaging applications,” SPIE, vol. 8161.
Roggemann, M., A. Sergeyev, C. Demars, “Near the ground laser communication system for monitoring the statistics of turbulence: anisoplanetic studies based on the PSF measurements,” SPIE, vol. 7685.
Roggemann, M., A. Sergeyev, C. Demars, “Near the ground laser communication system for monitoring the statistics of turbulence: statistical data of r_0 estimation from the WFS measurements,” IEEE, vol. 1627.
Roggemann, M., A. Sergeyev, C. Demars, “Near the Ground Laser Communication System: Anisoplantic Studies Based on the PSF Measurements,” SPIE, vol. 8038.
Roggemann, M., K. Hamada, R. Gudimetla, K. Luu, W. Bradford, D. Thompson, R. Shirey, “Remote Ultra-Low Light Imaging (RULLI) for Space Situational Awareness (SSA): modeling and simulation results for passive and active SSA,” SPIE, vol. 7094.
Roggemann, M., J. Bos, “Simulation of extended scenes imaged through turbulence over horizontal paths,” SPIE, vol. 8161.
Roggemann, M., K. Hamada, W. Bradford, “Three-Dimensional Imaging and Satellite Attitude Estimation Using Pulse Laser Illumination and a Remote Ultra-Low Light Imaging Sensor for Space Situational Awareness,” Proc. of the AMOS Technical Conference, vol. 2008.
Zhou, W., T. Wang, L. Yang, H. Tang, J. Harms, C. Wang, T. Liu, W. Curran, D. Li, X. Yang, “A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging,” Proc. of SPIE Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10953, 2019.
Zhou, W., H. Tang, R. Bober, C. Zhang, Z. He, J. Zou, “Scale ratio ICP for 3D registration of coronary venous anatomy with left ventricular epicardial surface to guide CRT lead placement,” Proc. of Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10951, 2019.

CONFERENCE PRESENTATIONS
Shane Mueller, “Investigating the Impact of Explanation and Justification on Trust in Medical AI Diagnostic Systems,” Psychonomic Society Annual Meeting, Montreal, Can., Nov. 1, 2019. (Poster)
Shane Mueller, R. Hoffman, G. Klein, L. Alam, T. Mamun, “Evaluating a computational model of sensemaking on the Berg Card-sorting task and the weather prediction task,” Psychonomic Society Annual Meeting, Nov. 1, 2019. (Lecture)
Shane Mueller (Presenter, Author), “PODA: An open science data archive for behavioral test data collected using PEBL test battery,” Society for Computers in Psychology Conference, Nov. 1, 2019. (Poster)
Shane Mueller (Poster), W. Khaewratana, “Game-Based Learning: The Effect of Word Games and Elaboration on Learning Science Concepts,” Connected Learning Summit, Oct. 1, 2019.
Samantha Smith, M. Tolston, B. Miller, M. Bowers, K. Holderby, S. Smith, “How cooperative do I need to be? Effects of a manipulation of a machine agent’s capacity to cooperate on human teammate’s ratings of cooperativity,” 22nd Internat’l Conference on Human-Computer Interaction (HCI InterNat’l 2020), Jul. 31, 2020. (Poster)
Samantha Smith, M. Tolston, B. Miller, M. Bowers, K. Holderby, K. Satterfield, “Test of two novel decision-making algorithms in the Pandemic board game environment,” International Conference on Human-Computer Interaction), Jul. 31, 2020. (Poster)
Samantha Smith, “Sustaining attention attending to multiple task demands and mitigating cognitive fatigue,” Intro to Psychology Major Faculty Research Presentation, Michigan Tech, Mar. 25, 2020. (Lecture)
Samantha Smith, “The relationship between cerebral hemovelocity and vigilance: Sample versus individual outcomes and future directions,” ACSHF Research Forum, Michigan Tech, Jan. 13, 2020. (Lecture)
Samantha Smith (Presenter, Author), Michelle Jarvie-Eggart, Kay Tislar, Charles Wallace, Nathan Naser, Briana Bettin, and Leo Ureel, W. Helton, G. Matthews, G. Funke, “Cerebral hemovelocity and the vigilance decrement: Sample-level data may not represent individuals,” Human Factors and Ergonomics Society Annual Meeting, Nov. 1, 2019. (Lecture)
Kelly Steelman, (Presenter, Author), “Work in Progress: Student Perception of Computer Programming Within Engineering Education: An Investigation of Attitudes, Beliefs, and Behaviors,” ASEE Virtual Conference 2020, June 22-26, 2020. 
Beth Veinott (Co-author), Roose, K. M., "Game On: Improving Cognition and the Student Experience," Upper Peninsula Teaching and Learning Conference," Apr. 2020. (Conference canceled). 
Beth Veinott (Co-author), Linja, A., Lautala, P., Nelson, D., "Driver’s hazard perception at short storage rail crossings," Michigan Dept of Transportation (MDOT) Traffic Safety Conference, Mar. 2020. (Poster)
Beth Veinott (Author, Organizer), Nemeth, C. Fousha, R., Embedded training in complex systems. Panel at Human Factors and Ergonomics Society, Nov. 2019.
Beth Veinott, Khaewrantana, W., Mueller, S., "Game-based learning: The effect of word games and elaboration on learning science concepts," Connected Learning Summit, UC Irvine, Oct. 2019.
Elizabeth Veinott, Linja, A., Lataula, P., Nelson, D., & Veinott, E. (2020, Oct). "Understanding driver behaviors: Examining the effect of crossing type and experience on safety concerns," Annual Human Factors and Ergonomics Society Meeting (HFES).
Elizabeth Veinott, Linga, A. , Alam, L. & Mueller, S.T. (2020, June) "What the AI saw and how it doesn’t really relate to what humans think the AI saw," Association for Psychological Science Annual Conference. (Poster)
Elizabeth Veinott, Roose, K. M., & Veinott, E. S., "Game On: Improving Cognition and the Student Experience," Upper Peninsula Teaching and Learning Conference, 2020. (Panel, Conf. canceled). 
Elizabeth Veinott (co-author), Linja, A., Lataula, P., Nelson, D., "Understanding driver safety concerns," Michigan Dept. of Transportation NuRail Conference, 2020. (Poster)
Elizabeth Veinott, Linga, A. , Alam, L., Mueller, S., "What the AI saw: Mismatches in human expectations and AI Classifier performance," 2019 Midwest Psychology Conference, Aug. 2019.
Elizabeth Veinott (Co-author,Organizer), Nemeth, C. Fousha, R., "Embedded Training in Complex Systems," Human Factors and Ergonomics Society Meeting (HFES), Nov. 2019.
Kelly Steelman, Tislar, C.L., "Measurement of Tech Anxiety in Older and Younger Adults." 5th International Conference on Human Aspects of IT for the Aged Population (HCI International 2019), July 2019. (Poster)
Kelly Steelman (Co-author), Tislar, K.L., Lehman, B.R.,  "The Seductive Detail Effect in Popular YouTube Instructional Videos," 32nd APS Annual Convention Virtual Poster Showcase, June-Sep. 2020. (Poster)
Elizabeth Veinott, E. Khaewrantana, W., Mueller, S., "Game-based learning: The effect of word games and elaboration on learning science concepts," Connected Learning Summit, UC Irvine, Oct. 2019.
BOOK CHAPTERS
Mueller, S. “A Cognitive Examination of Skill and Expertise in Word Games and Puzzles,” The Oxford Handbook of Expertise, Oxford University Press, 2019.
Vertanen, K., “Probabilistic Text Entry,” Intro to Digital Signal Processing and Machine Learning for Interactive Systems Developers.
JOURNAL ARTICLES
Mueller, S., J. Starns, A. Cataldo, C. Rotello, J. Annis, A. Aschenbrenner, B. Arndt, G. Cox, A. Criss, R. Curl, I. Dobbins, “Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis,” Advances in Methods and Practices in Psychological Science, SAGE Publications, vol. 2, iss. 4, pp. 335-349, 2019.
Mueller, S., “Cognitive anthropomorphism of ai: How Humans and Computers Classify images,” Ergonomics in Design, SAGE Publications, 2020.
Mueller, S., J. Dewey, “Individual differences in sensitivity to visuomotor discrepancies,” Frontiers in Psychology, vol. 10, pp. 144, 2019.
Mueller, S., E. Tyburski, M. Mak, A. Samochowiec, P. Plichta, M. Bielecki, K. Rek-Owodzin, P. Podwalski, K. Rudkowski, K. Waszczuk, Pelka-Wysiecka, Justyna, others, “The relationship between cingulum bundle integrity and different aspects of executive functions in chronic schizophrenia,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, Elsevier, 2020.
Smith, S., A. Stets, W. Helton, “Dual-Task Interference Between Swimming and Verbal Memory,” Human Factors, 2019.
Smith, S., G. Edgar, P. Russell, W. Helton, “Is Semantic Vigilance Impaired by Narrative Memory Demands? Theory and Applications, Human Factors, vol. 61, iss. 3, pp. 451-461, 2019.
Veinott, E., J. Pamplin, C. Nemeth, M. Serio-Melvin, S. Murray, G. Rule, S. Veazey, A. Hamilton, C. Fenrich, D. Laufersweiler, others, “Improving Clinician Decisions and Communication in Critical Care Using Novel Information Technology,” Military Medicine, Oxford Press Academic, vol. 185, iss. 2, pp. 185, January 4 (1st Quarter/Winter), 2020.
Smith, S., A. Neigel, V. Claypoole, G. Waldfogle, N. Fraulini, G. Hancock, W. Helton, P-Y. Szalma, “Engaging the human operator: a review of the theoretical support for the vigilance decrement and a discussion of practical applications,” Theoretical Issues in Ergonomics Science, vol. 21, iss. 2, pp. 239-258, 2020.
RESEARCH REPORT
Mueller, S., L. Alam, A. Linja, T. Mamun, S, “Agent-based Epidemic simulation models in R,” Github Repository (epidemic-agents), May 2020.
CONFERENCE ABSTRACTS
Smith, S., W. Helton, G. Matthews, G. Funke, “Cerebral hemovelocity and the vigilance decrement: Sample-level data may not represent individuals,” Proc. of the Human Factors and Ergonomics Soc. Annual Meeting, vol. 63, pp. 194-195, 2019.
Veinott, E., A. Linja, P. Lautala, D. Nelson, “Driver’s hazard perception at short storage rail crossings,” Michigan Department of Transportation, Mar. 11, 2020.
Veinott, E., C. Nemeth, R. Fousha, “Embedded Training in Complex Systems,” Human Factors and Ergonomics Soc., October (4th Quarter/Autumn) 2020.
Veinott, E., K. Roose, “Game On: Improving Cognition and the Student Experience,” Upper Peninsula Teaching and Learning Conference, April 30 (2nd Quarter/Spring), 2020. (Conference cancelled)
Veinott, E., W. Khaewrantana, S. Mueller, “Game-based learning: The effect of word games and elaboration on learning science concepts.,” Connected Learning Summit, October 2 (4th Quarter/Autumn), 2020.
CONFERENCE PROCEEDINGS
Mueller, S., G. Klein, R. Hoffman, J. Morrison, J. Tittle, P. Pirolli, “AI Symposium: Current Issues and Challenges in Artificial Intelligence,” Proc. of 14th Int'l Conference on Naturalistic Decision Making, 2019.
Mueller, S., Y. Tan, I. Flint, “Development and Evaluation of a Model of Human Comfort and Cognitive Ability for Moderate Differences in Thermal Environment,” Lecture Notes in Computer Science, HCI Int'l, vol. 11786, 2019.
Mueller, S., G. Klein, R. Hoffman, “Mindless Self-Explaining vs Meaningful Self-Explaining,” Proc. of Int'l Conference on Naturalistic Decision Making, 2019.
Mueller, S., G. Klein, R. Hoffman, “Naturalistic psychological model of explanatory reasoning: How people explain things to others and themselves,” Proc. of Int'l Conference on Naturalistic Decision Making, 2019.
Mueller, S., R. Confalonieri, T. Lombrozo, P. Shafto, “What makes a good explanation? Cognitive dimensions of explaining intelligent machines,” Proc. of 41st Annual Conference of the Cognitive Science Soc., 2019.
Mueller, S., A. Linja, L. Alam, “What the AI Saw: Examining human predictions of deep image classification errors,” Midwest Cognitive Science, 2019.
Smith, S., G. Edgar, P. Russell, W. Helton, “Real life does not always get in the way: Verbal memory and the Sustained Attention to Response Task,” Proc. of the Human Factors and Ergonomics Soc. Annual Meeting.
Smith, S., S. Mueller, L. Alam, G. Funke, A. Linja, T. Mamun, “Speed accuracy modelling and the relationship to cerebral bloodflow in a signal detection task,” Proc. of Human Factors and Ergonomics Soc. Annual Meeting.
Steelman, K., B. Bettin, M. Jarvie, C. Wallace, “Infusing Computing into Introductory Engineering.,” Proc. of 2020 IEEE Frontiers in Education Conference.
Steelman, K., “Look, Ma, no hands! A preliminary study of educational interventions aimed at setting realistic expectations of semi-autonomous vehicle technology,” Proc. of Human Factors and Ergonomics Soc. 64th Meeting.
Veinott, E., E. Whitaker, “Leaving hints: Using player in- game reflection to improve and measure learning,” Proc. of Int'l Conference on Human Computer Interaction, Late Breaking, HCII Conference, Springer, vol. 1088, pp. 222-230, Sep. 2019.
Veinott, E., K. Roose, “Leveling Up: Using the Tracer Method to Address Training Needs for Esports Players,” ACM, Oct. 5 (4th Quarter/Autumn), 2020
Veinott, E., A. Linja, P. Lautala, D. Nelson, “Rail safety: Examining the effect of driving experience and type of crossing on safety concerns,” Proc. of Human Factors and Ergonomics Soc. Meeting, October (4th Quarter/Autumn) 2020
Vertanen, K., D. Gaines, C. Fletcher, A. Stanage, R. Watling, P. Kristensson, “VelociWatch: Designing and Evaluating a Virtual Keyboard for the Input of Challenging Text,” Proc. of CHI ‘19, SIGCHI Conference on Human Factors in Computing Systems, pp. 591:1-14, 2019.

CONFERENCE PRESENTATIONS

Yakov Nekrich (Presenter, Author), “Better Data Structures for Colored Orthogonal Range Reporting,”ACM Symposium on Discrete Algorithms (SODA), Salt Lake City, Jan. 5, 2020. (Lecture)
Yakov Nekrich, I. Munro, “Dynamic Planar Point Location in External Memory,” University of Dortmund, Germany, Dec. 17, 2019. (Lecture)
Yakov Nekrich, I. Munro, “Dynamic Planar Point Location in External Memory,” University of Waterloo, Can., Nov. 7, 2019. (Lecture)
JOURNAL ARTICLES
Nekritch, Y., P. Abedin, A. Ganguly, W. Hon, K. Matsuda, Y. Nekrich, K. Sadakane, R. Shah, S. Thankachan, “A linear-space data structure for range-LCP queries in poly-logarithmic time, “Theoretical Computer Science, vol. 822, pp. 15-22, June 24, 2020.
Nekritch, Y., J. Munro, G. Navarro, Y. Nekrich, “Fast Compressed Self-indexes with Deterministic Linear-Time Construction,” Algorithmica, vol. 82, iss. 2, pp. 316-337, Feb. 1, 2020.
Nekritch, Y., J. Fuentes-Sepúlveda, G. Navarro, Y. Nekrich, “Parallel computation of the Burrows Wheeler Transform in compact space, “Theoretical Computer Science, vol. 812, pp. 123-136, April 6 (2nd Quarter/Spring), 2020.
Yue, J., X. Liao, Y. Chi, R. Guo, H. Jin, J. Yue, “P3DC: Reducing DRAM Cache Hit Latency by Hybrid Mappings,” Frontiers of Computer Science, Springer.
CONFERENCE PROCEEDINGS
Nekritch, Y., T. Chan, Y. Nekrich, “Better data structures for colored orthogonal range reporting, “Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, vol. 2020-January, pp. 627-636, Jan. 1 (1st Quarter/Winter), 2020.
Nekritch, Y., H. El-Zein, M. He, J. Ian Munro, Y. Nekrich, B. Sandlund, “On approximate range mode and range selection, “Leibniz Int'l Proceedings in Informatics, LIPIcs, vol. 149, iss., pp., Dec. 1, 2019.
Onder, S., M. Stokes, R. Baird, Z. Jin, D. Whalley, S. Onder, “Improving Energy Efficiency by Memoizing Data Access Information, “2019 IEEE/ACM Int'l Symposium on Low Power Electronics and Design (ISLPED), 2019.
Wang, Z., D. Byrne, N. Onder, Z. Wang, “Faster Slab Reassignment in memcached, “Proceedings of the 2019 Int'l Symposium on Memory Systems (MemSys '19), vol., iss., Sep. 30, 2019.
Yue, J., Z. Zhang, J. Yue, X. Liao, H. Jin, “Efficient Hardware-Assisted Crash Consistency inEncrypted Persistent Memory,” Design, Automation and Test in Europe 2020. 

CONFERENCE PRESENTATIONS

• Bo Chen, “Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV,” IEEE Vehicular Technology Conference, Honolulu, HI, Sep. 25, 2019. (Lecture)
• Bo Chen, “Receding Horizon Control for Mode Selection and Powertrain Control of a Multi-mode Hybrid Electric Vehicle,” IEEE Vehicular Technology Conference, Honolulu, HI, Sep. 25, 2019. (Lecture)

JOURNAL ARTICLES

• Chen, B., C. Cao, Z. Wu, “Electric Vehicle – Grid Integration with Voltage Regulation in Radial Distribution Networks,” Energies, vol. 13, iss. 7, Apr. (2nd Quarter/Spring) 2020
• Chen, B., J. Oncken, “Real-Time Model Predictive Powertrain Control for a Connected Plug-In Hybrid Electric Vehicle,” IEEE Trans. Vehicular Technology.
• Liu, Z., “A Multivariate Freezing-Thawing Depth Prediction Model for Spring Load Restriction,” Cold Regions Science and Technology, vol. 167, Nov. 2019.
• Liu, Z., T. Bao, “Evaluation of Winkler model and Pasternak model for dynamic soil-structure interaction analysis of structures partially embedded in soils,” Int'l Journal of Geomchanics, vol. 20, iss. 2, Feb. 2020
• Liu, Z., “Geothermal Energy from Flooded Mines: Modeling of Transient Energy Recovery with Thermohaline Stratification,” Energy Conversion and Management, vol. 199, Nov. 2019.
• Liu, Z., “Modeling of Coupled Soil Heat and Moisture Transport Beneath a Surface Fire,” Int'l Journal of Heat and Mass Transport, vol. 149, Mar. 2020.
• Sun, Y., R. Wang, D. Jia, J. Zhao, T. Liu, “Non-invasive respiration rate and tidal volume monitor using an in-line Mach-Zehnder interferometric sensor,” OSA Biomedical Optics Express, Jan. (1st Quarter/Winter) 2020.
• Tang, J., Z. Hu, P. Zhang, J. Jiang, “Deep learning for the Identification of Bruised Apples by Fusing 3D Deep Features for Apple Grading Systems,” Mechanical System and Signal Processing, Elsevier, 2020.
• Ten, C., Y. Guo, “Cybersecurity of Distribution Devices and Systems,” Smart Grid Handbook, John Wiley & Sons, Ltd.
• Ten, C., N. Kovac, J. Anders, T. Kilic, R. Bulbul, P. Sapkota, L. Wang, A. Ginter, “Single-Phase Transformer Harmonics Produced During Geomagnetic Disturbances: Theory, Modeling.
• Ten, C., “Transitioning to Networked Microgrids: Leveraging Existing Capacity and Technologies.”
• Zhang, K., Y. Tang, S. Zhao, C. Ten, “Establishment of Enhanced Load Modeling by Correlating With Occupancy Information,” IEEE Trans. Smart Grid, vol. 11, iss. 2, pp. 1202-1713, Mar. 1, 2020.
• Zhang, K., S. Zhao, “A Distributionally Robust Stochastic Optimization based Model Predictive Control with Distributionally Robust Chance Constraints for cooperative Adaptive Cruise Control under Uncertain Traffic Conditions,” Transportation Research Part B: Methodological, Elsevier.
• Zhang, K., S. Ko, P. Lautala, “Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling,” Sustainability, vol. 11, iss. 12, June 3, 2020.
• Zhang, K., S. Ko, P. Lautala, “Log Truck Value Analysis from Increased Rail Usage,” Forests, vol. 11, iss. 6, June 12, 2020.

CONFERENCE PROCEEDINGS

• Bae, J.Y., S. Rathinam, R. Ravi, J. Bae, K. Sundar, “Primal-Dual 2-Approximation Algorithm for the Monotonic Multiple Depot Heterogeneous Traveling Salesman Problem,” Proc. of 17th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2020), Schloss Dagstuhl-Leibniz-Zentrum fur Informatik, vol. 162, pp. 33:1-13, 2020.
• Chen, B., J. Oncken, J. Orlando, P. Bhat, B. Narodzonek, C. Morgan, D. Robinette, J. Naber, “A Connected Controls and Optimization System for Vehicle Dynamics and Powertrain Operation on a Light-Duty Plug-in Multi-Mode Hybrid Electric Vehicle,” Proc. of SAE 2020 World Congress, Apr. (2nd Quarter/Spring) 2020.
• Chen, B., X. Wang, A. Khameneian, P. Dice, M. Shahbakhti, J. Naber, C. Archer, Q. Qu, C. Glugla, G. Huberts, “Control-Oriented Model-Based Burn Duration and Ignition Timing Prediction with Recursive-Least-Square Adaptation for Closed-Loop Combustion Phasing Control of Spark-Ignition Engines,” ASME 2019 Dynamic Systems and Control Conference, Oct. (4th Quarter/Autumn) 2019.
• Chen, B., P. Bhat, J. Oncken, “Generation of Optimal Velocity Trajectory for Real-Time Predictive Control of a Multi-Mode PHEV,” Proc. of 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Sep. 22, 2019.
• Chen, B., H. Wang, J. Oncken, “Receding Horizon Control for Mode Selection and Powertrain Control of a Multi-mode Hybrid Electric Vehicle,” Proc. of 2019 IEEE 90th Vehicular Technology Conference: VTC2019-Fall, Sep. 22, 2019.
• Chen, B., Z. Wu, C. Cao, “Transactive Energy Based Approach for Large-Scale Plug-in Electric Vehicle Charging Control,” Proc. of 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Dec. 2019.
• Tang, J., “Scene Classification via Learning a Multi-Branch Convolutional Network,” Proc. of 2019 IEEE Int'l Conference on Systems, Man and Cybernetics (SMC), pp. 2047-2551, Oct. 6-9, 2019.
• Zhang, K., A. Jalooli, M. Song, “A Novel Clustering Scheme for Heterogeneous Vehicular Networks,” IEEE Int'l Conference on Communications 2020 (IEEE ICC 2020).
  Zhang, K., L. Elefteriadou, B. Leonard, L. Du, W. Ma, J. Liu, J. Ma, Z. Song, X. Li, S. Erdogan, “Enabling Transportation Networks with Automated Vehicles: From Individual Vehicle Motion Control to Networked Fleet Management,” Road Vehicle Automation 7, Springer, July (3rd Quarter/Summer) 2020.

CONFERENCE PRESENTATIONS

• Bo Chen, “EAGER: Enabling Secure Data Recovery for Mobile Devices against Malicious Attacks,” NSF Secure and Trustworthy CyberSpace Principal Investigators’ Meeting, Nat’l Science Foundation, Oct. 28, 2019. (Poster)

JOURNAL ARTICLES

• Chen, B., X. Meng, S. Wang, K. Shu, J. Li, H. Liu, Y. Zhang, “Towards Privacy Preserving Social Recommendation under Personalized Privacy Settings,” World Wide Web: Internet and Web Information Systems, Nov. 1, 2019.
• Wall, J., M. Warkentin, “Perceived argument quality's effect on threat and coping appraisals in fear appeals: An experiment and exploration of realism check heuristics,” Information and Management, vol. 56, iss. 8, Nov. 2019.

CONFERENCE ABSTRACTS

• Chen, B., N. Chen, “A Secure Plausibly Deniable System for Mobile Devices against Multi-snapshot Adversaries,” 2020 IEEE Symposium on Security and Privacy (S&P '20), Vol. , Iss. , pp. , May , 2020
• Chen, B., W. Xie, N. Chen, Incorporating Malware Detection into The Flash Translation Layer,” 2020 IEEE Symposium on Security and Privacy (S&P '20), Vol. , Iss. , pp. , May , 2020

CONFERENCE PROCEEDINGS

• Chen, B., W. You, L. Liu, J. Jing, “Deduplication-friendly Watermarking for Multimedia Data in Public Clouds,” The 25th European Symposium on Research in Computer Security (ESORICS '20), Sep. 2020.
• Hembroff, G., “The Design of a Holistic mHealth Community Library Model and its impact on Empowering Rural America,” Proc. of MobileHealth 2019, Springer, vol. 320, 2019.
• Mayo, J., M. Wang, J. Walker, S. Carr, C-K. Shene, “A System for Visualizing the Process Address Space in the Context of Teaching Secure Coding in C,” Proc. of 51st ACM Technical Symposium on Computer Science Education.
• Mayo, J., W. Al-Mawee, P. Bonamy, S. Carr, “Maia: A Language for Mandatory Integrity Controls of Structured Data,” Proceedings of the 5th Int'l Conference on Information Systems Security and Privacy, ICISSP 2019, Prague, Czech Republic, Feb. 23-25, 2019, pp. 257-265, 2019.
• Mayo, J., J. Walker, M. Wang, S. Carr, C-K. Shene, “Teaching Integer Security Using Simple Visualizations,” Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, Aberdeen, Scotland, UK, July 15-17, 2019, pp. 513-519, 2019.

CONFERENCE PRESENTATIONS

• Jeremy Bos (Presenter) “Issues Validating Extended Rytov Theory via Wave Optics Simulation,” AFRL Direct Energy Aero-Effects and Deep Turbulence Workshop, Air Force Research Lab, Dec. 12, 2019. (Workshop)
• Jeremy Bos, “Workshop on non-Kolmogorov and Associated Phenomena,” Workshop on non-Kolmogorov and Associated Phenomena, Fraunhofer Inst. of Optronics, System Technologies and Image Exploitation IOSB, Jul. 3, 2019. (Workshop)
• Timothy Havens (Presenter, Author), “Introduction to Deep Learning,” Programming Seminar Series, Graduate Student Gov't, Michigan Tech, Jul. 16, 2020. (Seminar)
• Timothy Havens (Presenter, Author), “Introduction to Machine Learning with Python,” Programming Seminar Series, Graduate Student Gov't, Michigan Tech, Jul. 14, 2020. (Seminar)
• Timothy Havens, “Explainable Deep Fusion,” ISR-2 Seminar Series: Advancing Toward Modern Detection and Estimation Techniques for Multi-Sensor Scenarios, Los Alamos Nat’l Lab, Jul. 1, 2020. (Seminar)
• Benjamin Ong, “The Science + Math in Data Science,” SIAM Student Activity Group Meeting, Michigan Tech, Feb. 12, 2020. (Seminar)

SOFTWARE

• Ong, B., B. Ong, S. Dhamankar, “Boundary Integral Treecode,”, Sep. 2019

TECHNICAL REPORTS

• Schulz, T., R. Paxman, Seldin, J. Miller, “Advanced reconstruction algorithms for space-object imaging.”
• Schulz, T., “An investigation of multi-channel LADAR processing.”
• Schulz, T., “CAREER: Image recovery from multiple intensity measurements.”
• Schulz, T., “Development and analysis of mine-detection algorithms for the Lightweight Airborne Multispectral Minefield Detection-Interim.”
• Schulz, T., “Estimation of the squared modulus of the complex coherence factor from amplitude or intensity measurements at high light-levels.”
• Schulz, T., “Estimation-theoretic methods for unconventional imaging.”
• Schulz, T., “Heterodyne Array Imaging.
• Schulz, T., J. Fienup, J. Marron, R. Paxman, J. Seldin, Thelen, “Image inversion analysis of the Hubble Space Telescope.”
• Schulz, T., “Image recovery from coherent speckle images with registration errors.”
• Schulz, T., N. Wen, “Image restoration for the Hubble Space Telescope.
• Schulz, T., J. Cederquist, M. Eismann, K. Ellis, J. Lange, T. Rogne, C. Schwartz, J. Seldin, “Infrared multispectral sensor program, Phase 1: model-based performance predictions.”
• Schulz, T., J. Miller, “Multiframe blind deconvolution for satellite imaging.”
• Oommen, T., S. Kochappi Sathyan, “Landslide Atlas of Kerala,” Geological Soc. of India,” Dec. 2019

TRANSLATIONS

• Zhou, W., Z. He, H. Tang, M. Zhao, W. Zhou, “99mTechnetium pyrophosphate scintigraphy with cadmium zinc telluride cameras is a highly sensitive and specific imaging modality to diagnose transthyretin cardiac amyloidosis La gammagrafı´a con tecnecio 99 m pirofosfato (99mTc-PYP) con ca´maras de teluro de zinc y cadmio es una modalidad de imagen con alta sensibilidad y especificidad para diagnosticar amiloidosis cardı´aca por transtiretina,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.

JOURNAL ARTICLES

• Ghosh, S., U. Yadav, M. Coldren, P. Bulusu, T. Sain, “Interface fracture of micro-architectured glass: Inverse identification of interface properties and a novel analytical model,” Mechanics of Materials, vol. 137, October (4th Quarter/Autumn) 2019.
• Han, S.Y., T. Isogai, K. Dean, P. Roudot, Q. Shao, J. Cillay, E. Welf, M. Driscoll, S. Royer, N. Mittal, B-J. Chang, others, “Direct Arp2/3-vinculin binding is essential for cell spreading, but only on compliant substrates and in 3D,” bioRxiv, Cold Spring Harbor Laboratory, 2019
• Han, S.Y., A. Mohan, K. Dean, T. Isogai, S. Kasitinon, V. Murali, P. Roudot, A. Groisman, D. Reed, E. Welf, others, “Enhanced Dendritic Actin Network Formation in Extended Lamellipodia Drives Proliferation in Growth-Challenged Rac1P29S Melanoma Cells,” Developmental Cell, Cell Press, vol. 49, iss. 3, pp. 444-460, 2019.
• Han, S.Y., K. Dean, A. Whitewood, A. Bachir, E. Guttierrez, A. Groisman, R. Horwitz, B. Goult, G. Danuser, “Formation of talin-vinculin pre-complexes dictates maturation of nascent adhesions by accelerated force transmission and vinculin recruitment,” BioRxiv, 2019.
• Han, S.Y., I. Manifacier, K. Beussman, N. Sniadecki, I. About, J-L. Milan, “The consequence of substrates of large-scale rigidity on actin network tension in adherent cells,” Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, pp 1-10, 2019.
• Havens, T., M. Islam, D. Anderson, J. Ball, “A Generalized Fuzzy Extension Principle and Its Application to Information Fusion,” IEEE Trans. Fuzzy Systems.
• Havens, T., S. Kabir, C. Wagner, D. Anderson, “A similarity measure based on bidirectional subsethood for intervals,” IEEE Trans. Fuzzy Systems.
• Havens, T., I. Cummings, J. Doane, T. Schulz, “Aperture-level simultaneous transmit and receive with digital phased arrays,” IEEE Trans. Signal Processing, vol. 68, iss. 1, pp. 1243-1258, Dec. 2020.
• Havens, T., M. Islam, D. Anderson, A. Pintar, G. Scott, J. Keller, “Enabling explainable fusion in deep learning with fuzzy integral neural networks,” IEEE Trans. Fuzzy Systems, vol. 28, iss. 7, pp. 1291-1300, July (3rd Quarter/Summer) 2020.
• Havens, T., B. Murray, M. Islam, A. Pinar, D. Anderson, G. Scott, J. Keller, “Explainable AI for the Choquet Integral,” IEEE Trans. Emerging Topics in Computational Intelligence.
• Havens, T., S. Yazdanparast, M. Jamalabdollahi, “Linear time community detection by a novel modularity gain acceleration in label propagation,” IEEE Trans. Big Data.
• Havens, T., S. Kakula, A. Pinar, M. Islam, D. Anderson, “Novel regularization for learning the fuzzy Choquet integral with limited training data,” IEEE Trans. Fuzzy Systems.
• Havens, T., J. Bialas, T. Oommen, “Optimal segmentation for building class in high spatial resolution images using random forests,” Int. J. Applied Earth Observations and Geoinformation, Elsevier, vol. 82, Oct. (4th Quarter/Autumn) 2019.
• Havens, T., S. Yazdanparast, M. Jamalabdollahi, “Soft overlapping community detection in large-scale networks via fast fuzzy modularity maximization,” IEEE Trans. Fuzzy Systems.
• Ong, B., S. Dhamankar, “Towards an Adaptive Treecode Algorithm for N-body Problems,” Journal of Scientific Computing, Feb. 2020.
• Oommen, T., Bouali, R. Escobar Wolf, “New paradigm in geotechnical performance monitoring using remote sensing,” Transactions in Civil and Environmental Engineering (STICEE), Springer, 2019.
• Oommen, T., P. Addison, Q. Sha, “Assessment of post-wildfire debris flow occurrence using classifier tree,” Geomatics, Natural Hazards and Risk, 2019.
• Oommen, T., C. Kumar, S. Chatterjee, A. Guha, “Automated lithological mapping by integrating spectral enhancement techniques and machine learning algorithms using AVIRIS-NG hyperspectral data in Gold-bearing granite-greenstone rocks in Hutti, India,” Int'l Journal of Applied Earth Observation and Geoinformation, Elsevier, vol. 86, 2020.
• 'Oommen, T., R. Oats, R. Escobar Wolf, “Evaluation of Photogrammetry and Inclusion of Control Points: Significance for Infrastructure Monitoring,” Data, vol. 4, iss. 1, 2019.
• Oommen, T., E. Bouali, R. Escobar Wolf, “Evidence of Instability in Previously-Mapped Landslides as Measured Using GPS, Optical, and SAR Data between 2007 and 2017: A Case Study in the Portuguese Bend Landslide Complex, California,” Remote Sensing, vol. 11, iss. 8, 2019.
• Oommen, T., L. Weidner, K. DePrekel, S. Vitton, “Investigating large landslides along a river valley using combined physical, statistical, and hydrologic modeling,” Engineering Geology, 2019.
• Oommen, T., A. Tibaldi, P. Oppizzi, J. Gierke, N. Tsereteli, Gogoladze, “Landslides near Enguri dam (Caucasus, Georgia) and possible seismotectonic effects,” Natural Hazards and Earth System Sciences, vol. 19, 2019.
• Oommen, T., C. Kumar, S. Chatterjee, “Mapping hydrothermal alteration minerals using high-resolution AVIRIS-NG hyperspectral data in the Hutti-Maski gold deposit area, India,” Int'l Journal of Remote Sensing, Taylor & Francis, 2019.
• Oommen, T., J. Bialas, T. Havens, “Optimal segmentation of high spatial resolution images for the classification of buildings using random forests,” Int'l Journal of Applied Earth Observation and Geoinformation, Elsevier, vol. 82, 2019.
• Oommen, T., P. Addison, “Post-fire debris flow modeling analyses: case study of the post-Thomas Fire event in California,” Natural Hazards, Springer Netherlands, 2019.
• Oommen, T., S. Keerthy, C.L. Vishnu, S. Li, N. Reshma, M.N. Praveen, S.P. Singh, K.S. Sajinkumar, “Reconstructing the dimension of Dhala Impact Crater, Central India, through integrated geographic information system and geological records,” Planetary and Space Science, Pergamon, 2019.
• Oommen, T., C. Vishnu, K.S. Sajinkumar, T. Oommen, R. Coffman, Thrivikramji, Rani, S. Keerthy, “Satellite data based assessment of the catastrophic flood of august 2018 in parts of coastal Kerala, India.,” Geomatics, Natural Hazards and Risk, 2019.
• Rawashdeh, N., W. Al-Zyoud, A. Helou, E. AlQasem, “Visual feature extraction from dermoscopic  colour images for classification of melanocytic skin lesions,” Eurasian Journal of Biosciences, 2020, vol. 14 iss. 1, pp. 1299-1307, June 12, 2020.
• Roggemann, M., J. Bos, “A Technique for Simulating Anisoplanatic Image Formation Over Long Horizontal Paths,” Optical Engineering, SPIE.
• Roggemann, M., J. Dolne, B. Ellerbroek, M. Vorontsov, “Applied Optics Feature Issue on Wavefront Sensing, Imaging, and Image Enhancement,” Optical Soc. of America, vol. 48, iss. 1.
• Roggemann, M., J. Bos, “Blind Image Quality Metrics for Optimal Speckle Image Recons.truction in Horizontal Imaging Scenarios,” Optical Engineering, SPIE, vol. 51, iss. 10.
• Roggemann, M., A. Sergeyev, P. Piatrou, “Bootstrap beacon creation for overcoming the effect of beacon anisoplanatisn in laser beam projection system,” Appl. Opt., vol. 47, pp. 2399-2413.
• Roggemann, M., D. Voelz, “Digital simulation of scalar optical diffraction: chirp sampling criteria and consequences,” Applied Optics, vol. 48, pp. 6132-6142.
• Roggemann, M., K. Drexler, “Method for determining the spatial correlation width of a Gaussian-Schell beam to optimize the scintillation index over long horizontal turbulent paths,” Optical Engineering, SPIE, vol. 51, Iss. 2.
• Roggemann, M., K. Drexler, “Method for determining the spatial correlation width of a Gaussian-Schell beam to optimize the scintillation index over long horizontal turbulent paths,” Optical Engineering, SPIE, vol. 51.
• Roggemann, M., S. Lyke, D. Voelz, “Probability density of aperture averaged irradiance fluctuations for long range free space optical communication links,” Applied Optics, vol. 48, pp. 6511-6527
• Roggemann, M., G. Archer, J. Bos, “Reconstruction of long horizontal-path images under anisoplanatic conditions using multiframe blind deconvolution,” Optical Engineering, SPIE, vol. 52, iss. 8.
• Roggemann, M., “Robustness of Speckle Imaging Techniques Applied to Horizontal Imaging Scenarios,” Optical Engineering, SPIE.
• Roggemann, M., J. Bos, “Robustness of Speckle Imaging Techniques Applied to Horizontal Imaging Scenarios,” Optical Engineering, SPIE, vol. 51, iss. 8.
  Roggemann, M., J. Bos, “Technique for simulating anisoplanatic image formation over long horizontal paths,” Optical Engineering, SPIE, vol. 51, iss. 10.
• Roggemann, M., K. Drexler, D. Voelz, “Use of a partially coherent transmitter beam to improve the statistics of received power in a free-space optical communication system: theory and experimental results,” Optical Engineering, SPIE, vol. 50.
• Roggemann, M., N. Riegel, C. Middlebrook, K. Kruse, “Using the 3D beam propagation method to model the effects of lithographic roughness on the attenuation of highly multimodal polymer waveguides,” Journal of Vacuum Science and Technology B, vol. 31.
• Zhou, W., T. Wang, Y. Lei, H. Tang, Z. He, R. Castillo, C. Wang, D. Li, K. Higgins, T. Liu, W. Curran, X. Yang, “A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
• Zhou, W., X. Zhang, Z. Qian, H. Tang, W. Hua, Y. Su, G. Xu, X. Liu, X. Xue, J. Fan, L. Cai, L. Zhu, Y. Wang, X. Hou, E. Garcia, J. Zou “A new method to recommend left ventricular lead positions for improved CRT volumetric response and long-term prognosis,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
• Zhou, W., G. Hung, J. Chen, “A perfect tool for comprehensive evaluation of myocardial perfusion and function: Stress PET imaging,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, 2019.
• Zhou, W., Z. Qian, Y. Wang, X. Hou, Y. Qiu, Z. Jiang, H. Wu, Z. Zhao, J. Zou, “A pilot study to determine if left ventricular activation time is a useful parameter for left bundle branch capture: Validated by ventricular mechanical synchrony with SPECT imaging.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, April (2nd Quarter/Spring) 2020.
• Zhou, W., M. Song, J. Greenbaum, J. Luttrell, P. Gong, W. Zhou, H. Shen, C. Zhang, H. Deng, “A Review of Integrative Imputation for Multi-Omics Datasets,” Frontiers in Genetics.
• Zhou, W., F. Zhu, X. Li, D. McGonigle, H. Tang, Z. He, C. Zhang, G-U. Hung, P-Y. Chiu, “Analyze Informant-based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning,” IEEE Journal of Translational Engineering in Health and Medicine, 2019.
• Zhou, W., Y. Zhou, D. Li, H. Tang, Y. Xu, C. Wang, Z. Jiang, F. Xu, Z. Zhao, C. Li, S. Tang, L. Tang, “Development and validation of a new method to diagnose apical hypertrophic cardiomyopathy by gated single-photon emission computed tomography myocardial perfusion imaging,” Nuclear Medicine Communications, Wolters Kluwer, vol. 40, iss. 3, pp. 206-211, 2019.
• Zhou, W., X. Hou, Z. Qian, Y. Wang, Y. Qiu, X. Chen, H. Jiang, Z. Jiang, H. Wu, Z. Zhao, J. Zou, “Feasibility and cardiac synchrony of permanent left bundle branch pacing through the interventricular septum,” EP Europace, Oxford University Press, vol. 21, iss. 11, pp. 1694-1702, 2019.
• Zhou, W., W. Xin, X. Yang, J. Wang, X. Shao, F. Zhang, Y. Shi, B. Liu, W. Yu, H. Tang, Z. Wu, Y. Wang, “Gated single-photon emission computed tomography myocardial perfusion imaging is superior to computed tomography attenuation correction in discriminating myocardial infarction from attenuation artifacts in men and right coronary artery disease,” Nuclear Medicine Communications, Wolters Kluwer, vol. 40, iss. 5, pp. 491-498, 2019.
• Zhou, W., F. Zhang, J. Wang, X. Shao, M. Yang, Y. Qian, X. Yang, Z. Wu, S. Li, W. Xin, Y. Shi, B. Liu, W. Yu, Z. He, Wang, “Incremental value of myocardial wall motion and thickening to perfusion alone by gated SPECT myocardial perfusion imaging for viability assessment in patients with ischemic heart failure.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, Feb. 14, 2020.
• Zhou, W., C. Wang, J. Shi, J. Ge, H. Tang, Z. He, Y. Liu, Z. Zhao, P-Y. Li, K. Gu, X. Hou, M. Chen, J. Zou, L. Zhou, E. Garcia, Li, “Left ventricular systolic and diastolic dyssynchrony to improve cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy.,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer, May 13, 2020.
• Zhou, W., F. Meng, Z. Zhang, X. Hou, Z. Qian, Y. Wang, Y. Chen, Y. Wang, Y. Zhou, Z. Chen, X. Zhang, J. Yang, J. Zhang, J. Guo, K. Li, L. Chen, R.
• Zhuang, H. Jiang, S. Tang, Y. Wei, J. Zou, “Machine learning for prediction of sudden cardiac death in heart failure patients with low left ventricular ejection fraction: study protocol for a retroprospective multicentre registry in China,” BMJ open, British Medical Journal Publishing Group, vol. 9, iss. 5.
• Zhou, W., F. Zhu, D. Xu, Y. Liu, K. Lou, Z. He, H. Zhang, Y. Sheng, R. Yang, X. Li, X. Kong, H. Zhang, “Machine learning for the diagnosis of pulmonary hypertension,” Journal Kardiologia, June 1, 2020.
• Zhou, W., F. Zhu, X. Li, H. Tang, Z. He, C. Zhang, G-U. Hung, P-Y. Chiu, Zhou, “Machine learning for the preliminary diagnosis of senile dementia,” Scientific Programming, Hindawi, Mar. 7, 2020.
• Zhou, W., J. Wang, Y. Wang, M. Yang, S. Shao, Y. Tian, X. Shao, S. Fan, F. Zhang, W. Yang, W. Xin, H. Tang, M. Xu, L. Yang, X. Wang, “Mechanical contraction to guide crt left-ventricular lead placement instead of electrical activation in myocardial infarction with left ventricular dysfunction: An experimental study based on non-invasive gated myocardial perfusion imaging and invasive electroanatomic mapping,” Journal of Nuclear Cardiology, Amer. Soc. of Nuclear Cardiology, Springer.
• Zhou, W., P. Chiu, H. Tang, C. Wei, C. Zhang, G-U. Hung, “NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia,” PloS One, Public Library of Science, vol. 14, iss. 3, 2019.
• Havens, T., J. Keller, “Conference Report on 2019 IEEE Int'l Conference on Fuzzy Systems (FUZZ-IEEE 2019),” IEEE Computational Intelligence Magazine, vol. 15, iss. 1, Jan. 10, 2020 (1st Quarter/Winter).

CONFERENCE ABSTRACTS

• Oommen, T., J. Kendrick, L. Schaefer, A. Hughes, A. Lamar, G. Chigna, Y. Lavallee, “Assessing volcanic flank instability using geomechanical properties: A case study from Pacaya volcano (Guatemala).,” Proc. of European Geophysical Union (EGU) General Assembly, April 7-12, 2019, 2019.
• Oommen, T., K. Sajinkumar, R. Coffman, C. L. Vishnu, “Characteristics of landslides from Idukki, Kerala from the 2018 August rain events.,” 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
• Oommen, T., C. Kumar, S. Chatterjee, W.H. Farrand, “Detecting Hydrated Minerals in Libya Montes, Mars using MRO CRISM Hyperspectral Data.,” Proc. of 50th Lunar and Planetary Science Conference, March 18-22, 2019.
• Oommen, T., K. Kring, S. Chatterjee, “Exploring the need for improved precipitation measurements for rainfall-induced landslide hazard characterization.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
• Oommen, T., J. Raval, K. Sajinkumar, “Identifying and mapping the locations of landslides after the 2018 floods in Kerala, India using remotely sensed satellite imagery.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
• Oommen, T., C. Kumar, S. Chatterjee, A. Guha, “Implementing Spectral and Textual Characteristics of Rocks for Improved Lithological Mapping using Machine Learning Algorithms,” Proc. of AGU Fall Meeting 2019.
• Oommen, T., C. Kumar, S. Chatterjee, “Lithological mapping in Hutti-Maski gold mineralization area India using AVIRIS-NG hyperspectral data and machine learning algorithms.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
• Oommen, T., K.S. Sajinkumar, C.L. Vishnu, “SAR based assessment of 2018 Kerala Floods,” Proc. of AGU Fall Meeting 2019.
• Oommen, T., C. Vishnu, K. Sajinkumar, “SAR based assessment of 2018 Kerala floods.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep. 17-22, 2019.
• Oommen, T., K. Kring, S. Chatterjee, “Spatial Resolution Improvement of Precipitation Measurements for Explaining Rainfall Related Landslide Hazards,” Proc. of AGU Fall Meeting 2019.
• Oommen, T., J. Ewing, P. Jayakumar, R. Alger, “Terrain Strength Characterization Using Remote Sensing,” Proc. of AGU Fall Meeting 2019.
• Oommen, T., J. Ewing, J. Paramsothy, R. Alger, “Terrain strength characterization using remote sensing.,” Proc. of 62nd Annual Meeting of the Association of Environmental & Engineering Geologists, Sep 17-22, 2019.
• Zhou, W., Z. He, H. Tang, D. McGonigle, C. Zhang, Z. Jiang, “A Deep-Learning-Based Segmentation Method for Left Ventricle on Gated SPECT Myocardial Perfusion Images,” Proc. of Conference of Midsouth Computational Biology & Bioinformatics Soc., 2019.
• Zhou, W., X. Zhang, Z. Qian, H. Tang, W. Hua, Y. Su, G. Xu, X. Liu, X. Xue, J. Fan, L. Cai, L. Zhu, Y. Wang, X. Hou, E. Garcia, J. Zou “A new method to recommend appropriate left-ventricular lead positions for improved cardiac resynchronization therapy volumetric response and long-term prognosis,” Proc. of Heart Rhythm Soc. 2019.
• Zhou, W., D. McGonigle, C. Zhao, H. Tang, C. Zhang, Z. He, R. Bober, “Deep Learning to Extract Coronary Arteries from Fluoroscopy Angiography,” Proc. of Conference of Midsouth Computational Biology & Bioinformatics Soc. 2019.
• Zhou, W., M. Song, J. Greenbaum, J. Luttrell, H. Shen, P. Gong, H. Deng, C. Zhang1, “Imputation of Genome-Wide Association Study Data Using Autoencoders,” Proc. of MS IDeA 2019.
• Zhou, W., C. Wang, J. Shi, Z. Zhao, C. Li, H. Tang, Z. He, D. Li, “Left ventricular systolic and diastolic dyssynchrony to predict cardiac resynchronization therapy response in heart failure patients with dilated cardiomyopathy,” Proc. of ASNC 2019, Springer.
• Zhou, W., Z. Deng, M. Zhao, R. Li, Y. Liu, F. Zhu, X. Li, “Texture Analysis on Myocardial Perfusion SPECT to Diagnose Myocarditis,” Journal of Nuclear Medicine, Soc. of Nuclear Medicine, vol. 60, iss. supplement 1, pp. 1433, 2019.

CONFERENCE PROCEEDINGS

• Bos, J., “Anisoplanatic Differential Tilt Measurements,” Proc. of Laser Communications System Experiment: Propagation Through and Characterization of Atmospheric and Oceanic Phenomena,” 2019.
• Bos, J., S. Kysar, D. Chopp, A. Kurup, J. Rice, D. Robinette, “Localization and mapping performance of two LiDAR systems in unstructured environments,” Proc. of Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2019.
• Bos, J., N. Spike, J. Beard, D. Robinette, “Wheel alignment effects on autonomous vehicle control vs human driver in simulation,” Proc. of Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure, 2019.
• Havens, T., S. Kakula, A. Pinar, D. Anderson, “Choquet integral ridge regression,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
• Havens, T., S. Kakula, A. Pinar, D. Anderson, “Extended linear order statistic (ELOS) aggregation and regression,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
• Havens, T., A. Wilbik, T. Wilkin, “On a paradox of extended linguistic summaries,” Proc. of IEEE Int. Conf. Fuzzy Systems, July (3rd Quarter/Summer) 2020.
• Oommen, T., C. Kumar, S. Chatterjee, W. Farrand, “Detecting Hydrated Minerals in Libya Montes, Mars Using MRO CRISM Hyperspectral Data,” Proc. of Lunar and Planetary Science Conference, vol. 50, 2019.
• Roggemann, M., J. Bos, W. Norkus, M. Mauer, D. Sims, C. Middlebrook, “An investigation into the Paulding Mystery Lights,” SPIE, vol. 82460N.
• Roggemann, M., J. Bos, A. Sergeyev, A., M. Roggemann, “Anisoplanatism over horizontal path: comparison of theoretical and experimental results,” SPIE, vol. 8246.
• Roggemann, M., J. Bos, “Mean squared error performance of speckle imaging using the bispectrum in horizontal imaging applications,” SPIE, vol. 8161.
• Roggemann, M., A. Sergeyev, C. Demars, “Near the ground laser communication system for monitoring the statistics of turbulence: anisoplanetic studies based on the PSF measurements,” SPIE, vol. 7685.
• Roggemann, M., A. Sergeyev, C. Demars, “Near the ground laser communication system for monitoring the statistics of turbulence: statistical data of r_0 estimation from the WFS measurements,” IEEE, vol. 1627.
• Roggemann, M., A. Sergeyev, C. Demars, “Near the Ground Laser Communication System: Anisoplantic Studies Based on the PSF Measurements,” SPIE, vol. 8038.
• Roggemann, M., K. Hamada, R. Gudimetla, K. Luu, W. Bradford, D. Thompson, R. Shirey, “Remote Ultra-Low Light Imaging (RULLI) for Space Situational Awareness (SSA): modeling and simulation results for passive and active SSA,” SPIE, vol. 7094.
• Roggemann, M., J. Bos, “Simulation of extended scenes imaged through turbulence over horizontal paths,” SPIE, vol. 8161.
• Roggemann, M., K. Hamada, W. Bradford, “Three-Dimensional Imaging and Satellite Attitude Estimation Using Pulse Laser Illumination and a Remote Ultra-Low Light Imaging Sensor for Space Situational Awareness,” Proc. of the AMOS Technical Conference, vol. 2008.
• Zhou, W., T. Wang, L. Yang, H. Tang, J. Harms, C. Wang, T. Liu, W. Curran, D. Li, X. Yang, “A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging,” Proc. of SPIE Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10953, 2019.
• Zhou, W., H. Tang, R. Bober, C. Zhang, Z. He, J. Zou, “Scale ratio ICP for 3D registration of coronary venous anatomy with left ventricular epicardial surface to guide CRT lead placement,” Proc. of Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, vol. 10951, 2019.

CONFERENCE PRESENTATIONS

• Shane Mueller, “Investigating the Impact of Explanation and Justification on Trust in Medical AI Diagnostic Systems,” Psychonomic Society Annual Meeting, Montreal, Can., Nov. 1, 2019. (Poster)
• Shane Mueller, R. Hoffman, G. Klein, L. Alam, T. Mamun, “Evaluating a computational model of sensemaking on the Berg Card-sorting task and the weather prediction task,” Psychonomic Society Annual Meeting, Nov. 1, 2019. (Lecture)
• Shane Mueller (Presenter, Author), “PODA: An open science data archive for behavioral test data collected using PEBL test battery,” Society for Computers in Psychology Conference, Nov. 1, 2019. (Poster)
• Shane Mueller (Poster), W. Khaewratana, “Game-Based Learning: The Effect of Word Games and Elaboration on Learning Science Concepts,” Connected Learning Summit, Oct. 1, 2019.
• Samantha Smith, M. Tolston, B. Miller, M. Bowers, K. Holderby, S. Smith, “How cooperative do I need to be? Effects of a manipulation of a machine agent’s capacity to cooperate on human teammate’s ratings of cooperativity,” 22nd Internat’l Conference on Human-Computer Interaction (HCI InterNat’l 2020), Jul. 31, 2020. (Poster)
• Samantha Smith, M. Tolston, B. Miller, M. Bowers, K. Holderby, K. Satterfield, “Test of two novel decision-making algorithms in the Pandemic board game environment,” International Conference on Human-Computer Interaction), Jul. 31, 2020. (Poster)
• Samantha Smith, “Sustaining attention attending to multiple task demands and mitigating cognitive fatigue,” Intro to Psychology Major Faculty Research Presentation, Michigan Tech, Mar. 25, 2020. (Lecture)
• Samantha Smith, “The relationship between cerebral hemovelocity and vigilance: Sample versus individual outcomes and future directions,” ACSHF Research Forum, Michigan Tech, Jan. 13, 2020. (Lecture)
• Samantha Smith (Presenter, Author), Michelle Jarvie-Eggart, Kay Tislar, Charles Wallace, Nathan Naser, Briana Bettin, and Leo Ureel, W. Helton, G. Matthews, G. Funke, “Cerebral hemovelocity and the vigilance decrement: Sample-level data may not represent individuals,” Human Factors and Ergonomics Society Annual Meeting, Nov. 1, 2019. (Lecture)
• Kelly Steelman, (Presenter, Author), “Work in Progress: Student Perception of Computer Programming Within Engineering Education: An Investigation of Attitudes, Beliefs, and Behaviors,” ASEE Virtual Conference 2020, June 22-26, 2020.
• Beth Veinott (Co-author), Roose, K. M., "Game On: Improving Cognition and the Student Experience," Upper Peninsula Teaching and Learning Conference," Apr. 2020. (Conference canceled).
• Beth Veinott (Co-author), Linja, A., Lautala, P., Nelson, D., "Driver’s hazard perception at short storage rail crossings," Michigan Dept of Transportation (MDOT) Traffic Safety Conference, Mar. 2020. (Poster)
• Beth Veinott (Author, Organizer), Nemeth, C. Fousha, R., Embedded training in complex systems. Panel at Human Factors and Ergonomics Society, Nov. 2019.
• Beth Veinott, Khaewrantana, W., Mueller, S., "Game-based learning: The effect of word games and elaboration on learning science concepts," Connected Learning Summit, UC Irvine, Oct. 2019.
• Elizabeth Veinott, Linja, A., Lataula, P., Nelson, D., & Veinott, E. (2020, Oct). "Understanding driver behaviors: Examining the effect of crossing type and experience on safety concerns," Annual Human Factors and Ergonomics Society Meeting (HFES).
• Elizabeth Veinott, Linga, A. , Alam, L. & Mueller, S.T. (2020, June) "What the AI saw and how it doesn’t really relate to what humans think the AI saw," Association for Psychological Science Annual Conference. (Poster)
• Elizabeth Veinott, Roose, K. M., & Veinott, E. S., "Game On: Improving Cognition and the Student Experience," Upper Peninsula Teaching and Learning Conference, 2020. (Panel, Conf. canceled).
• Elizabeth Veinott (co-author), Linja, A., Lataula, P., Nelson, D., "Understanding driver safety concerns," Michigan Dept. of Transportation NuRail Conference, 2020. (Poster)
• Elizabeth Veinott, Linga, A. , Alam, L., Mueller, S., "What the AI saw: Mismatches in human expectations and AI Classifier performance," 2019 Midwest Psychology Conference, Aug. 2019.
• Elizabeth Veinott (Co-author,Organizer), Nemeth, C. Fousha, R., "Embedded Training in Complex Systems," Human Factors and Ergonomics Society Meeting (HFES), Nov. 2019.
• Kelly Steelman, Tislar, C.L., "Measurement of Tech Anxiety in Older and Younger Adults." 5th International Conference on Human Aspects of IT for the Aged Population (HCI International 2019), July 2019. (Poster)
• Kelly Steelman (Co-author), Tislar, K.L., Lehman, B.R.,  "The Seductive Detail Effect in Popular YouTube Instructional Videos," 32nd APS Annual Convention Virtual Poster Showcase, June-Sep. 2020. (Poster)
• Elizabeth Veinott, E. Khaewrantana, W., Mueller, S., "Game-based learning: The effect of word games and elaboration on learning science concepts," Connected Learning Summit, UC Irvine, Oct. 2019.

BOOK CHAPTERS

• Mueller, S. “A Cognitive Examination of Skill and Expertise in Word Games and Puzzles,” The Oxford Handbook of Expertise, Oxford University Press, 2019.
• Vertanen, K., “Probabilistic Text Entry,” Intro to Digital Signal Processing and Machine Learning for Interactive Systems Developers.

JOURNAL ARTICLES

• Mueller, S., J. Starns, A. Cataldo, C. Rotello, J. Annis, A. Aschenbrenner, B. Arndt, G. Cox, A. Criss, R. Curl, I. Dobbins, “Assessing theoretical conclusions with blinded inference to investigate a potential inference crisis,” Advances in Methods and Practices in Psychological Science, SAGE Publications, vol. 2, iss. 4, pp. 335-349, 2019.
  Mueller, S., “Cognitive anthropomorphism of ai: How Humans and Computers Classify images,” Ergonomics in Design, SAGE Publications, 2020.
• Mueller, S., J. Dewey, “Individual differences in sensitivity to visuomotor discrepancies,” Frontiers in Psychology, vol. 10, pp. 144, 2019.
• Mueller, S., E. Tyburski, M. Mak, A. Samochowiec, P. Plichta, M. Bielecki, K. Rek-Owodzin, P. Podwalski, K. Rudkowski, K. Waszczuk, Pelka-Wysiecka, Justyna, others, “The relationship between cingulum bundle integrity and different aspects of executive functions in chronic schizophrenia,” Progress in Neuro-Psychopharmacology and Biological Psychiatry, Elsevier, 2020.
• Smith, S., A. Stets, W. Helton, “Dual-Task Interference Between Swimming and Verbal Memory,” Human Factors, 2019.
• Smith, S., G. Edgar, P. Russell, W. Helton, “Is Semantic Vigilance Impaired by Narrative Memory Demands? Theory and Applications, Human Factors, vol. 61, iss. 3, pp. 451-461, 2019.
• Veinott, E., J. Pamplin, C. Nemeth, M. Serio-Melvin, S. Murray, G. Rule, S. Veazey, A. Hamilton, C. Fenrich, D. Laufersweiler, others, “Improving Clinician Decisions and Communication in Critical Care Using Novel Information Technology,” Military Medicine, Oxford Press Academic, vol. 185, iss. 2, pp. 185, January 4 (1st Quarter/Winter), 2020.
• Smith, S., A. Neigel, V. Claypoole, G. Waldfogle, N. Fraulini, G. Hancock, W. Helton, P-Y. Szalma, “Engaging the human operator: a review of the theoretical support for the vigilance decrement and a discussion of practical applications,” Theoretical Issues in Ergonomics Science, vol. 21, iss. 2, pp. 239-258, 2020.

RESEARCH REPORT

• Mueller, S., L. Alam, A. Linja, T. Mamun, S, “Agent-based Epidemic simulation models in R,” Github Repository (epidemic-agents), May 2020.

CONFERENCE ABSTRACTS

• Smith, S., W. Helton, G. Matthews, G. Funke, “Cerebral hemovelocity and the vigilance decrement: Sample-level data may not represent individuals,” Proc. of the Human Factors and Ergonomics Soc. Annual Meeting, vol. 63, pp. 194-195, 2019.
• Veinott, E., A. Linja, P. Lautala, D. Nelson, “Driver’s hazard perception at short storage rail crossings,” Michigan Department of Transportation, Mar. 11, 2020.
• Veinott, E., C. Nemeth, R. Fousha, “Embedded Training in Complex Systems,” Human Factors and Ergonomics Soc., October (4th Quarter/Autumn) 2020.
• Veinott, E., K. Roose, “Game On: Improving Cognition and the Student Experience,” Upper Peninsula Teaching and Learning Conference, April 30 (2nd Quarter/Spring), 2020. (Conference cancelled)
• Veinott, E., W. Khaewrantana, S. Mueller, “Game-based learning: The effect of word games and elaboration on learning science concepts.,” Connected Learning Summit, October 2 (4th Quarter/Autumn), 2020.

CONFERENCE PROCEEDINGS

• Mueller, S., G. Klein, R. Hoffman, J. Morrison, J. Tittle, P. Pirolli, “AI Symposium: Current Issues and Challenges in Artificial Intelligence,” Proc. of 14th Int'l Conference on Naturalistic Decision Making, 2019.
• Mueller, S., Y. Tan, I. Flint, “Development and Evaluation of a Model of Human Comfort and Cognitive Ability for Moderate Differences in Thermal Environment,” Lecture Notes in Computer Science, HCI Int'l, vol. 11786, 2019.
• Mueller, S., G. Klein, R. Hoffman, “Mindless Self-Explaining vs Meaningful Self-Explaining,” Proc. of Int'l Conference on Naturalistic Decision Making, 2019.
• Mueller, S., G. Klein, R. Hoffman, “Naturalistic psychological model of explanatory reasoning: How people explain things to others and themselves,” Proc. of Int'l Conference on Naturalistic Decision Making, 2019.
• Mueller, S., R. Confalonieri, T. Lombrozo, P. Shafto, “What makes a good explanation? Cognitive dimensions of explaining intelligent machines,” Proc. of 41st Annual Conference of the Cognitive Science Soc., 2019.
• Mueller, S., A. Linja, L. Alam, “What the AI Saw: Examining human predictions of deep image classification errors,” Midwest Cognitive Science, 2019.
• Smith, S., G. Edgar, P. Russell, W. Helton, “Real life does not always get in the way: Verbal memory and the Sustained Attention to Response Task,” Proc. of the Human Factors and Ergonomics Soc. Annual Meeting.
• Smith, S., S. Mueller, L. Alam, G. Funke, A. Linja, T. Mamun, “Speed accuracy modelling and the relationship to cerebral bloodflow in a signal detection task,” Proc. of Human Factors and Ergonomics Soc. Annual Meeting.
• Steelman, K., B. Bettin, M. Jarvie, C. Wallace, “Infusing Computing into Introductory Engineering.,” Proc. of 2020 IEEE Frontiers in Education Conference.
• Steelman, K., “Look, Ma, no hands! A preliminary study of educational interventions aimed at setting realistic expectations of semi-autonomous vehicle technology,” Proc. of Human Factors and Ergonomics Soc. 64th Meeting.
  Veinott, E., E. Whitaker, “Leaving hints: Using player in- game reflection to improve and measure learning,” Proc. of Int'l Conference on Human Computer Interaction, Late Breaking, HCII Conference, Springer, vol. 1088, pp. 222-230, Sep. 2019.
• Veinott, E., K. Roose, “Leveling Up: Using the Tracer Method to Address Training Needs for Esports Players,” ACM, Oct. 5 (4th Quarter/Autumn), 2020
• Veinott, E., A. Linja, P. Lautala, D. Nelson, “Rail safety: Examining the effect of driving experience and type of crossing on safety concerns,” Proc. of Human Factors and Ergonomics Soc. Meeting, October (4th Quarter/Autumn) 2020
• Vertanen, K., D. Gaines, C. Fletcher, A. Stanage, R. Watling, P. Kristensson, “VelociWatch: Designing and Evaluating a Virtual Keyboard for the Input of Challenging Text,” Proc. of CHI ‘19, SIGCHI Conference on Human Factors in Computing Systems, pp. 591:1-14, 2019.

CONFERENCE PRESENTATIONS

• Yakov Nekrich (Presenter, Author), “Better Data Structures for Colored Orthogonal Range Reporting,”ACM Symposium on Discrete Algorithms (SODA), Salt Lake City, Jan. 5, 2020. (Lecture)
• Yakov Nekrich, I. Munro, “Dynamic Planar Point Location in External Memory,” University of Dortmund, Germany, Dec. 17, 2019. (Lecture)
• Yakov Nekrich, I. Munro, “Dynamic Planar Point Location in External Memory,” University of Waterloo, Can., Nov. 7, 2019. (Lecture)

JOURNAL ARTICLES

• Nekritch, Y., P. Abedin, A. Ganguly, W. Hon, K. Matsuda, Y. Nekrich, K. Sadakane, R. Shah, S. Thankachan, “A linear-space data structure for range-LCP queries in poly-logarithmic time, “Theoretical Computer Science, vol. 822, pp. 15-22, June 24, 2020.
• Nekritch, Y., J. Munro, G. Navarro, Y. Nekrich, “Fast Compressed Self-indexes with Deterministic Linear-Time Construction,” Algorithmica, vol. 82, iss. 2, pp. 316-337, Feb. 1, 2020.
• Nekritch, Y., J. Fuentes-Sepúlveda, G. Navarro, Y. Nekrich, “Parallel computation of the Burrows Wheeler Transform in compact space, “Theoretical Computer Science, vol. 812, pp. 123-136, April 6 (2nd Quarter/Spring), 2020.
• Yue, J., X. Liao, Y. Chi, R. Guo, H. Jin, J. Yue, “P3DC: Reducing DRAM Cache Hit Latency by Hybrid Mappings,” Frontiers of Computer Science, Springer.

CONFERENCE PROCEEDINGS

• Nekritch, Y., T. Chan, Y. Nekrich, “Better data structures for colored orthogonal range reporting, “Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms, vol. 2020-January, pp. 627-636, Jan. 1 (1st Quarter/Winter), 2020.
• Nekritch, Y., H. El-Zein, M. He, J. Ian Munro, Y. Nekrich, B. Sandlund, “On approximate range mode and range selection, “Leibniz Int'l Proceedings in Informatics, LIPIcs, vol. 149, iss., pp., Dec. 1, 2019.
• Onder, S., M. Stokes, R. Baird, Z. Jin, D. Whalley, S. Onder, “Improving Energy Efficiency by Memoizing Data Access Information, “2019 IEEE/ACM Int'l Symposium on Low Power Electronics and Design (ISLPED), 2019.
• Wang, Z., D. Byrne, N. Onder, Z. Wang, “Faster Slab Reassignment in memcached, “Proceedings of the 2019 Int'l Symposium on Memory Systems (MemSys '19), vol., iss., Sep. 30, 2019.
• Yue, J., Z. Zhang, J. Yue, X. Liao, H. Jin, “Efficient Hardware-Assisted Crash Consistency inEncrypted Persistent Memory,” Design, Automation and Test in Europe 2020. 

 

Conference Presentations

Liu, Z., “Deep Learning with Convolutional Neural Network for the Stability Analysis of Geosystems,” Machine Learning in Science and Engineering Conf., June 6-8, 2018, Pittsburgh, PA.

Liu, Z., “Heat Transfer in Large-Scale Mine-Water-Geologic-Formation Systems for Geothermal Energy Applications,” Great Lakes SedHeat Geothermal Incubator Workshop, National Science Foundation, Case Western Reserve University, Feb. 2018, Cleveland, OH.

Liu, Z., “Development of Prediction Model and Decision Support Tool for Seasonal Load Restrictions in Michigan,” Transportation Research Board Annual Conf., Technical Committee AFP50, Jan. 7-11, 2018, Washington D. C.

Liu, Z., “Development of Prediction Model and Decision Support Tool for Seasonal Load Restrictions in Michigan,” ASCE Conf. on Technical Advancement (ASCE), Sep. 10-13, 2017, Duluth, MN.

Semouchkina, E., “A Road to Optical Cloaking Using Transformation Media Built from Photonic Crystals,” 1st Int’l Conf. on Optics, Photonics, and Lasers (OPAL’ 2018), May 9-11, 2018, Barcelona, Spain.

Semouchkina, Elena, “From Microwaves to Optics: All-Dielectric Solutions for Coordinate Transformation-Based Devices,” Proc. of Int’l NGC 2017 Symposium: Nano and Giga Challenges in Electronics, Photonics and Renewable Energy, Sep. 18-22, 2017, Tomsk, Russia.

Semouchkina, E., S. Jamilan, G.B. Semouchkin, “A Road to Optical Cloaking Using Transformation Media Built from Photonic Crystals,” Proc. of 1st Int’l Conf. on Optics, Photonics, and Lasers (OPAL), May 9-11, 2018, Barcelona, Spain.

Wang, Z., “Experimental Study of Under-Ice Acoustic Communications,” Naval Future Force Science and Technology Expo, July 20-21, 2017, Washington, DC.

Zekavat, S. A., “An Introduction to Space Solar Power,” IEEE Int’l Conf. on Wireless for Space and Extreme Environments (WISEE), Oct. 10-12, 2017, Montreal Canada.

Zhang, K., “A comprehensive overview of improving traffic flow observability using UAVs as mobile sensors,” Transportation Research Board Annual Meeting, Jan. 7, 2018, Washington, D.C.

Zhang, K., S. Zhao, “A data-driven dynamic route choice model under uncertainty using connected vehicle trajectory data,” Transportation Research Board Annual Meeting, Jan. 7, 2018, Washington, DC.

Zhang, K., S. Zhao, “A data-driven Model Predictive Control framework for robust Cooperative Adaptive Cruise Control using mobile sensing data,” Transportation Research Board Annual Meeting, Jan. 7, 2018, Washington, DC.

Books

Liu, Zhen, Multiphysics in Porous Materials, Springer, 2018.

Shi, X., Z. Liu, J. Liu, Editors, Proc. of GeoShanghai 2018 Int’l Conf., Transportation Geotechnics and Pavement Engineering, Springer, 2018.

Book Chapters

Almassalkhi, M, L.D. Espinosa, P.D.H. Hines, J. Frolik, S. Paudyal, M. Amini, “Asynchronous Coordination of Distributed Energy Resources with Packetized Energy Management,” Energy Markets and Responsive Grids, Springer, 2018.

Reports

Brooks, Colin, R. Dobson, David Banach, Thomas Oommen, Kuilin Zhang, Amlan Mukherjee, Tim Havens, Tess Ahlborn, R. Escobar-Wolf, Shuaidong Zhao, Qinjie Lyu, N. Marion, “Implementation of Unmanned Aerial Vehicles (UAVs) for Assessment of Transportation Infrastructure-Phase II, Final Report,” For Michigan Dept. of Transportation. May 2018.

Journal Articles

Almassalkhi, M., L.D. Espinosa, P. Hines, J. Frolik, S. Paudyal, M. Amini, “Asynchronous Coordination of Distributed Energy Resources with Packetized Energy Management,” Energy Markets and Responsive Grids, June 2018.

Bertozzi, Massimo, B. Chen, Primo Zingaretti, “Introduction to the Special Issue on Applications of Mechatronic and Embedded Systems (MESA) in ITS,” IEEE Transactions on Intelligent Transportation Systems, 19(2), Feb. 2018.

Chen, Bo, Darrell Robinette, Mahdi Shahbakhti, Kuilin Zhang, Jeffrey Donald Naber, Jeremy J Worm, Christopher Pinnow, Christopher James Morgan, “Connected Vehicles and Powertrain Optimization,” ASME Mechanical Engineering, 139(9), Sep. 2017.

Gandji, Navid, George Boris Semouchkin, Elena Semouchkina, “All-dielectric metamaterials: irrelevance of negative refraction to overlapped Mie resonances,” Journal of Physics D: Applied Physics, 50(45), Sep. 2017.

Jafari, Mehdi, Antonio Gauchia Babe, Shuaidong Zhao, Kuilin Zhang, Lucia Gauchia Babe, “Electric Vehicle Battery Cycle Aging Evaluation in Real-World Daily Driving and Vehicle-to-Grid Services,” IEEE Transactions on Transportation Electrification, 4(1), Mar. 2018.

Jamilan, Saeid, George Boris Semouchkin, Navid Gandji, Elena Semouchkina, “Spatial dispersion of index components required for building invisibility cloak medium from photonic crystals,” Journal of Optics, 20(4), Mar. 2018.

Jia, D., J. Chao, S. Li, H. Zhang, Y. Yan, T. Liu, Y. Sun, “A Fiber Bragg Grating sensor for radial artery pulse waveform measurement,” IEEE Transactions on Biomedical Engineering, 65(4), Apr. 2018.

Li, Xian, Ye Sun, “WearETE: A Scalable Wearable E-Textile Triboelectric Energy Harvesting System for Human Motion Scavenging,” Sensors, 17(11), Nov. 2017.

Liu, Weixing, Dagong Jia, Ye Sun, “An Optical Fiber Based Data-Driven Method for Human Skin Temperature 3D Mapping,” IEEE Journal of Biomedical and Health Informatics, July 2018.

Misra, R., S. Paudyal, O. Ceylan, P. Mandal, “Harmonic Distortion Minimization in Power Grids with Wind and Electric Vehicles,” Energies, 10(7), July 2017.

Razmara, M., G. Bharati, D. Hanover, M. Shahbakhti, S. Paudyal, R.D. Robinett, III, “Building-to-grid predictive power flow control for demand response and demand flexibility programs,” Applied Energy, 203, Oct. 2017.

Razmara, M., G.R. Bharati, M. Shahbakhti, S. Paudyal, R.D. Robinett, “Bilevel optimization framework for smart building-to-grid systems,” IEEE Transactions on Smart Grid, 9(2), Mar. 2018.

Schneider, K. P., B. Mather, B. C. Pal, C. W. Ten, G. Shirek, H. Zhu, J. Fuller, J. L. R. Pereira, L. Ochoa, L. Araujo, R. Duncan, Stifter, M., S. Paudyal, T. McDermott, B. Kersting, “Analytic considerations and design basis for the IEEE distribution test feeders,” IEEE Transactions on Power Systems, 33 (3), May 2018.

Tang, J., Z. Hu, P. Zhang. “Identification of Bruised Apples Using a 3-D Multi-order Local Binary Patterns Based Feature Extraction Algorithm,” IEEE Access, Feb. 2018.

Wang, C., Z. Wang, W. Sun, D.R. Fuhrmann, “Reinforcement learning-based adaptive transmission in time-varying underwater acoustic channels,” IEEE Access, 6, Dec. 2017.

Wang, J., G.R. Bharati, S. Paudyal, O. Ceylan, B. Bhattarai, “Coordinated Electric Vehicle Charging with Reactive Power Support to Distribution Grids,” IEEE Transactions on Industrial Informatics, 33(3), May 2018.

Zekavat, S.A., A. Aghdaei, “Novel Low Latency, High Resolution and Lo- Cost Time Synchronization,” IET Wireless Sensor Systems, 7(6), Dec. 2017.

Zhang, C., Z. Liu, Y. Dong, “Effects of adsorptive water on the rupture of nanoscale liquid bridges,” Applied Clay Science, 146, Sep. 2017.

Zhang, C., Z. Liu, “Freezing of water confined in porous materials: Role of adsorption and unfreezable threshold,” Acta Geotechnica, 13(5), Feb. 2018.

Zhang, C., Z. Liu, P. Deng, “Using molecular dynamics to unravel phase composition behavior of nano-size pores in frozen soils: Does young-Laplace equation apply in low temperature range?” Canadian Geotechnical Journal, 55(8), Jan. 2018.

Zhao, S., K. Zhang, “Observing individual dynamic choices of activity chains from location-based crowdsourced data,” Transportation Research Part C: Emerging Technologies, 85, Dec. 2017.

Conference Proceedings

Cao, C., L. Wang, B. Chen, J.D. Harper, T.P. Bohn, D.S. Dobrzynski, K.S. Hardy, “Real-Time Modeling to Enable Hardware-in-the-Loop Simulation of Plug-in Electric Vehicle-Grid Interaction,” Proc. of ASME/IEEE Int’l Conf. on Mechatronic and Embedded Systems and Applications (MESA), Aug. 6-9, 2017, Cleveland, OH.

Ceylan, O., S. Paudyal, B.P. Bhattarai, K. Myers, “Photovoltaic hosting capacity of feeders with reactive power control and tap changers,” Proc. of IEEE PES Innovative Smart Grid Technologies Conf. Europe (ISGT-Europe), Sep. 26-29, 2017, Torino, Italy.

Ceylan, O., S. Paudyal, S. Dahal, N.R Karki, “Assessment of harmonic distortion on distribution feeders with electric vehicles and residential PVs,” Proc. of IEEE 7th Int’l Conf. on Power Systems (ICPS), Dec. 21-23, 2017, Pune, India.

Dahal, S., S. Paudyal, R. Martin, “Impact of lightning strikes on substation grounding systems,” Proc. of Australasian Universities Power Engineering Conf. (AUPEC), Nov. 27-30, 2017, Auckland, NZ.

Hu, Z., J. Tang, P. Zhang, B. Patlolla, “Identification of bruised apples using deep learning and 3-D near-infrared imaging,” Proc. of Int’l Conf. on Pattern Recognition and Artificial Intelligence (ICPRAI), May 14-17, 2018, Montreal, Canada.

Huang, H., S. Hu, Y. Sun, “Energy-efficient ECG compression in wearable body sensor network by leveraging empirical mode decomposition,” Proc. of 2018 IEEE EMBS Int’l Conf. on Biomedical and Health Informatics (BHI), Mar. 4-7, 2018, Las Vegas, NV.

Lyu, Q., K. Zhang, “A best-case Rosenthal Equilibrium based coordination mechanism for n-person online routing games of connected and automated vehicles,” 98th Transportation Research Board Annual Meeting, Jan 7-11, 2018.

Paudyal, S., O. Ceylan, B. Bhattarai, K. Myers, “Optimal coordinated EV charging with reactive power support in constrained distribution grids,” Proc. of IEEE Power and Energy Society General Meeting (PESGM), July 16-20, 2017, Chicago, IL.

Sun, W., C. Wang, Z. Wang, M. Song, “Estimation of the Under-Ice Acoustic Field in AUV Communication Networks,” Proc. of  Int’l Conf. on Underwater Networks and Systems, Nov. 6-8, 2017, Halifax, Canada.

Tang, J., Z. Wang, L. Lei, “Book title recognition for smart library with deep learning,” Proc. of SPIE Commercial and Scientific Sensing and Imaging Conf., Apr. 15-19, 2018, Orlando, FL.

Tural, S., O. Ceylan, S. Paudyal, “Optimal voltage control in distribution feeders with large penetration of wind,” Proc. of 52nd Int’l Universities Power Engineering Conf. (UPEC), Aug. 28-31, 2017, Crete, Greece.

Wei, L., Y. Tang, Y. Cao, Z. Wang, M. Gerla, “Exploring Simulation of Software-Defined Underwater Wireless Networks,” Proc. of Int’l Conf. on Underwater Networks and Systems, Nov. 6-8, 2017, Halifax, Canada.

Yellajosula, J.R.A.K, N. Sharma, S. Paudyal, B. Mork, M. Sundararaman, “Hardware Implementation of R-GOOSE for Wide-Area Protection and Coordination,” Proc. of IEEE/PES Transmission and Distribution Conf. and Exposition (T&D), Apr. 16-19, 2018, Denver, CO.

Zhao, S., K. Zhang, “A data-driven Model Predictive Control framework for robust Cooperative Adaptive Cruise Control using mobile sensing data,” Proc. of 98th Transportation Research Board Annual Meeting, Jan 7-11, 2018, Washington, DC.

Zhao, S., K. Zhang, “A data-driven optimization based model predictive control for real-time Eco approach and departure at signalized intersections under uncertain traffic conditions,” Proc. of 98th Transportation Research Board Annual Meeting, Jan 7-11, 2018.

Zhao, S., K. Zhang, “A data-driven dynamic route choice model under uncertainty using connected vehicle trajectory data,” Proc. of Transportation Research Board Annual Meeting, Jan 7-11, 2018.

Z., S., K. Zhang, Colin Brooks, David Miller Banach, Samuel Tang Aden, “A comprehensive overview of improving traffic flow observability using UAVs as mobile sensors,” Proc. of 98th Transportation Research Board Annual Meeting, Jan 7-11, 2018.

Books

Chen, Bo, Solid State Storage: Principle, Architecture and Data Security, 2017.

Book Chapters

Chen, Bo, Reza Curtmola, Jun Dai, “Auditable Version Control Systems in Untrusted Public Clouds,” Software Architectures for Cloud and Big Data, Elsevier, 353-366, 2017.

Zhong, Chen, John Yen, P. Liu, Rob F Erbacher, Christopher Garneau, B. Chen, “Studying Analysts’ Data Triage Operations in Cyber Defense Situational Analysis,” Theory and Models for Cyber Situation Awareness, Springer, 128-169, 2017.

Conference Attendance

Chen, B., IEEE Conf. on Communications and Network Security (IEEE CNS), May 30-June 1, 2018, Beijing, China.

Chen, B., IEEE Symposium on Security and Privacy, May 21-23, 2018, San Francisco, CA.

Hembroff, G., Sixth IEEE Int’l Conf. on Healthcare Informatics (ICHI), June 4-7, 2018, New York, NY.

Conference Presentations

Wall, J., M. Buche, “Integrating Outcome Oriented Policy in Information Security Policies: An Examination of Security Perceptions, Motivations, and Intentions,” Dewald Roode Security Workshop on Information Systems Security, Oct. 6-7, 2017, Tampa, FL.

Jia, S., L. Xia, B. Chen, P. Liu, “DEFTL: Implementing Plausibly Deniable Encryption in Flash Translation Layer,” ACM Conf. on Computer and Communications Security (CCS), Oct. 30-Nov. 3, 2017, Dallas, TX.

Meng, X., S. Wang, K. Shu, J. Li, B. Chen, H. Liu, Y. Zhang, “Personalized Privacy-Preserving Social Recommendation,” 32^nd AAAI Conf. on Artificial Intelligence (AAA), Feb. 2-7, 2018, New Orleans, LA.

Journal Articles

Cai, Y., “A Virtual Machine Placement Algorithm with Energy-efficiency in Cloud Computing,” Int’l Journal of Green Computing, 8(2), 2017.

Cai, Y., M. Schultz, B. Downey, “Alternative Energy Powered Computer Lab and Green Technology on Campus,” The Technology Interface Int’l Journal, 18(1), 2017.

Chang, B., Y. Cheng, B. Chen, F. Zhang, W.T. Zhu, Y. Li, Z. Wang, “User-Friendly Deniable Storage for Mobile Devices,” Elsevier Computers and Security, 72, Jan. 2018.

Chen, B., R. Curtmola, “Remote Data Integrity Checking with Server-Side Repair,“Journal of Computer Security, 25(6), Aug. 2017.

Matos, M. A., I. C. F. Barboza, M. V. A. R. Ferraz, G. Hembroff, “Michigan Hand Outcomes Questionnaire for the Evaluation of Patients with Mucopolysaccharidosis.” Bulletin of the Hospital for Joint Disease, 76(2), June 2018.

Wall, C. Wagner, P. Lowry, “Proposing the Core Contributor Withdrawal Theory (CCWT) to Understand Core Contributor Withdrawal from Online Peer-Production Communities,” Internet Research, 28(4), 2018.

Wall, J. D., R. Singh, “The Organization Man and the Innovator: Theoretical archetypes to inform behavioral information security research,” The Data Base for Advances in Information Systems, 49(S1), Apr. 2018.

Wall, J.D., R. Singh, “Contextualized Meaning Extraction: A Meta-algorithm for Big Data Text Mining with Pragmatics,” Int’l Journal of Organizational and Collective Intelligence 7(3), July 2017.

Zhang, Q., S. Jia, B. Chang, B. Chen, “Ensuring Data Confidentiality via Plausibly Deniable Encryption and Secure Deletion – A Survey,” Cybersecurity, 1(1), 2018.

Conference Proceedings

Cai, Y., “Teaching Directory Services: Topics, Challenges, and Experiences,” Proc. of 125th American Society for Engineering Education Conf. (ASEE), Jun. 24-27, 2018, Salt Lake City, UT.

Cai, Y., T.O. Arney, “Cybersecurity Should be Taught Top-Down and Case-Driven,” Proc. of 18th ACM Conf. on Information Technology Education (SIGITE), Oct. 4-7, 2017, Rochester, NY.

Chang, B., F. Zhang, B. Chen, Y. Li, W.T. Zhu, Y. Tian, Z. Wang, A. Ching, “MobiCeal: Towards Secure and Practical Plausibly Deniable Encryption on Mobile Devices,” Proc. of the 48th IEEE/IFIP Int’l Conf. on Dependable Systems and Networks (DSN), June 25-28, 2018, Luxembourg City, Luxembourg.

Guan, L., S. Jia, B. Chen, F. Zhang, B. Luo, J.L., P. Liu, X. Xing, L. Xia, “Supporting Transparent Snapshot for Bare-metal Malware Analysis on Mobile Devices,” Proc. of the 2017 Annual Computer Security Applications Conf. (ACSAC), Dec. 3-7, 2017, Orlando, FL.

Jia, S., L. Xia, B. Chen, P. Liu, “DEFTL: Implementing Plausibly Deniable Encryption in Flash Translation Layer,” Proc. of the ACM Conf. on Computer and Communications Security (CCS), Oct. 30-Nov. 3, 2017, Dallas, TX.

Mayo, J., M. Wang, C.-K. Shene, S. Carr, C. Wang, “UNIXvisual: A Visualization Tool for Teaching UNIX Permissions,” Proc. of ACM Conf. on Innovation and Technology in Computer Science Education, July 3-5, 2017, Bologna, Italy.

Meng, X., S. Wang, K. Shu, J. Li, B. Chen, H. Liu, Y. Zhang, “Personalized Privacy-Preserving Social Recommendation,” Proc. of the AAAI Conf. on Artificial Intelligence (AAAI), Feb. 2-7, 2018, New Orleans, LA.

Miranda, A., S. Goldsmith, “Cyber-Physical Risk Management for a Photovoltaic (PV) Plant,” Proc. of 51st Int’l Carnahan Conf. on Security Technology, Oct. 23-26, 2017, Madrid, Spain.

Osman, S.E., G. Hembroff, M.A. Matos, 2018, “A Novel Kinect-Based Algorithm for Inferring the Position of the Lower Body Joints Using Human Gait Pattern,” Proc. of the IEEE Int’l Conf. on Healthcare Informatics (ICHI), June 4-7, 2018, New York, NY.

Subedi, K.P., D.R. Budhathoki, B. Chen, D. Dasgupta, “RDS3: Ransomware Defense Strategy by Using Stealthily Spare Space,” Proc. of IEEE Symposium Series on Computational Intelligence (SSCI), Nov. 27-Dec. 1, 2017, Honolulu, HI.

Wu, D., Z. Xu, B. Chen, Y. Zhang, “Towards Access Control for Network Coding-based Named Data Networking,” Proc. of IEEE Global Communications Conf. (GLOBECOM), Dec. 4-8, 2017, Singapore.

Xu, H., F. Xu, B. Chen, “Internet Protocol Cameras with No Password Protection: An Empirical Investigation,” Proc. of 2018 Passive and Active Measurement Conf. (PAM), Mar. 26-27, 2018, Berlin, Germany.

Xu, Z., B. Chen, X. Meng, L. Liu, “Towards Efficient Detection of Sybil Attacks in Location-based Social Networks,” Proc. of IEEE Symposium Series on Computational Intelligence (SSCI), Nov. 27-Dec. 1, 2017, Honolulu, HI.

Book Chapters

Escobar-Wolf, R., E.H. Bouali, T. Oommen, “Risk Assessment,” Encyclopedia of Engineering Geology, Springer, 758-761, 2017.

Oommen, T., “Liquefaction,” Encyclopedia of Engineering Geology, 591-592, 2017.

Oommen, T., “Surveying,” Encyclopedia of Engineering Geology, 896-897, 2017.

Rouleau, M.D., “ForestSim: An Agent-Based Simulation for Bioenergy Sustainability Assessment,” Advances in Complex Societal, Environmental and Engineered Systems, 1 ed., 2017.

Sajinkumar, K.S., T. Oommen, “Photogrammetry,” Encycl. of Engineering Geology, Springer, 713-714, 2017.

Reports

Oommen, T., R. Coffman, K.S. Sajinkumar, C.L. Vishnu, “Geotechnical impacts of August 2018 floods of Kerala, India,” NSF-GEER Report no: 058, 2018.

Oommen, T., R. Escobar-Wolf, R. Shuchman, M. Battaglia, S. Aden, “Transport risk mitigation investment plan for B2B and Salang Pass roads, Afghanistan,” Deliverable-World Bank, 2017.

Shuchman, R., T. Oommen, R. Escobar-Wolf, M. Battaglia, S. Aden, “User manual for the Afghanistan transportation geohazard mitigation and investment decision support system,” Deliverable-World Bank, 2017.

Abstracts and Conference Presentations

Addison, P., T. Oommen, “A machine learning approach to burn severity estimation using radar sensors,” Meeting of the Association of Environmental and Engineering Geologists, Sep. 10-17, 2017, Colorado Springs, CO.

Anderson, E., N. Bird, C. Lucca, Z. Fleming, J.S. Gierke, T. Oommen, “Slope stability analysis in the vicinity of the Enguri hydroelectric dam, Republic of Georgia,” 60th Annual Meeting of the Association of Environmental and Engineering Geologists, Sep. 10-17, 2017, Colorado Springs, CO.

Anderson, E., T. Oommen, P. Addison, “Utilizing a simplified hydrology model to map fire-induced debris flow travel paths,” 60th Annual Meeting of the Association of Environmental and Engineering Geologists, Sep. 10-17, 2017, Colorado Springs, CO.

Bouali, E.H., T. Oommen, K.S. Sajinkumar, R. Escobar-Wolf, “Satellite InSAR as an initial health assessment tool for dams and reservoirs,” United States Society on Dams Conf. and Exhibition, Apr. 30-May 4, 2018, Miami, FL.

Bouali, E.H., T. Oommen, R. Escobar-Wolf, “Landslide life-cycle monitoring and failure prediction using satellite remote sensing,” Eos Trans. AGU, Fall Meet. Suppl., Dec. 11-15, 2017, New Orleans, LA.

Bouali, E.H., T. Oommen, R. Escobar-Wolf, “Monitoring the Casitas Dam in Ventura County, California with satellite InSAR,” 60th Annual Meeting of the Association of Environmental and Engineering Geologists, Sep. 10-17, 2017, Colorado Springs, CO.

Bouali, E.H., T. Oommen, R. Escobar-Wolf, “Slow landslide identification using InSAR to update the California landslide inventory on the Palos Verdes Peninsula,” GSA Annual Meeting. Oct. 22-25, 2017, Seattle, WA.

Havens, T., “Generating random fuzzy (capacity) measures for data fusion simulations,” IEEE Symposium Series on Computational Intelligence (IEEE SSCI), Nov. 27-Dec. 1, 2017, Honolulu, HI.

Ong , B., “A distributed and incremental SVD algorithm for Agglomerative Data Analysis on Large networks,” Annual Meeting of the Society for Industrial and Applied Mathematics (SIAM’17), July 10-14, 2017, Pittsburgh, PA.

Ong, B., “Waveform Relaxation with Adaptive Pipelining,” Annual Meeting of the Society for Industrial and Applied Mathematics (SIAM’17), July 10-14, 2017, Pittsburgh, PA.

Oommen, T., S. Chatterjee, “Mineral potential in India using Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data,” Eos Trans. AGU, Fall Meet. Suppl., Dec. 11-15, 2017, New Orleans, LA.

Rouleau, M. D., “Advantages and Limitations of Agent-Based Simulation for Bioenergy Sustainability Assessment and Policy Experimentation from the Perspective of Private Family Forest Owners,” Int’l Symposium on Society and Resource Management (ISSRM), June 17-21, 2018, Salt Lake City, UT.

Wall, J.D., M.W. Buche, “Integrating Outcome Oriented Policy in Information Security Policies: An Examination of Security Perceptions, Motivations, Intentions,” Dewald Roode Workshop on Information Systems Security Research, Oct. 6-7, 2017, Tampa, FL.

Weidner, L., T. Oommen, R. Escobar-Wolf, K.S. Sajinkumar, “Comparison of two physically-based regional landslide susceptibility models in Kerala, India,” 60th Annual Meeting of the Association of Environmental and Engineering Geologists, Sep. 10-17, 2017, Colorado Springs, CO.

Zwissler, B., E. Seagren, T. Oommen, S. Vitton, “Development of methodology for laboratory simulation of cold-weather fugitive dust events at mine tailings impoundments and mitigation methods,” ASCE Congress on Technical Advancement, Sep. 10-13, 2017, Duluth, MN.

Journal Articles

Armstrong, D.J., C.K. Riemenschneider, M.W. Buche, K. Armstrong, “Mitigating Turnover Intentions: Are all IT Workers Warriors?” AIS Transactions on Replication Research, 4(10), 2018.

Bialas, J., T. Oommen, U. Rebbapragada,

Bos, J.P., V.S. Gudimetla, J.A. Schmidt, “Differential Piston Phase Variance in Non-Kolomogorov Atmospheres,” Journal of the Optical Society of America A (JOSAA), 34(8), Aug. 2017.

Bouali, E.H., T. Oommen, R. Escobar-Wolf, “Mapping of slow landslides on the Palos Verdes Peninsula using the California Landslide Inventory and persistent scatterer interferometry,” Landslides, 15(3), Mar. 2018.

Buikema, N.D., B. Zwissler, E. Seagren, T. Oommen, S. Vitton, “Stabilization of iron mine tailings through biocalcification,” Environmental Geotechnics, 5(2), Apr. 2018.

Dalman, M.D., M.W. Buche, J. Min, “The Differential Influence of Identification on Ethical Judgment: The Mediating Role of Brand Love,” Journal of Business Ethics, Dec. 2017.

Deilamsalehy, H. T.C. Havens, “Fuzzy adaptive extended Kalman filter for robust 3D pose estimation,” Int. J. Intelligent Unmanned Systems, 6(2), Apr. 2018.

Deilamsalehy, H., T.C. Havens, P. Lautala, E. Medici, J. Davis, “An automatic method for detecting sliding railway wheels and hot bearings using thermal imagery,” J. Rail and Rapid Transit, 231(6), July 2017.

Escobar-Wolf, R., T. Oommen, C.N. Brooks, R. Dobson, T. Ahlborn, “Unmanned aerial vehicle (UAV)-based assessment of concrete bridge deck delamination using thermal and visible camera sensors: a preliminary analysis,” Research in Nondestructive Evaluation, 2017.

Frank, J., U. Rebbapragada, J. Bialas, T. Oommen, T. Havens, “Effect of label noise on the machine-learned classification of earthquake damage,” Remote Sensing, 9(8), Aug. 2017.

Gunasekara, C., K. Zhang, W. Deng, L. Brown H. Wei, “TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction,” Nucleic Acids Res., 46(11), June 2018.

Hu, X., T. Oommen, Z. Lu, T. Wang, J. Kim, “Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites,” Remote Sensing of Environment, 202, Dec. 2017.

Kern, A., P. Addison., T. Oommen, S. Salazar, R. Coffman, “Machine learning based predictive modeling of debris flow probability following wildfire in the intermountain Western United States,” Mathematical Geosciences, 49(6), 717-735, Aug. 2017.

Keyport, R.N., T. Oommen, T.R. Martha, K.S. Sajinkumar, J.S. Gierke, “A comparative analysis of pixel-and object-based detection of landslides from very high-resolution images,” Int’l Journal of Applied Earth Observation and Geoinformation, 64, Feb. 2018.

Liu, Z., J. Zhu, X, Yang, H. Wu, Q. Wei, H. Wei, H. Zhang, “Growth performance, ion organ-level relations and osmotic regulation of Elaeagnus angustifolia in response to salt stress,” PloS ONE, 13(1), Jan. 2018.

Lu, T., L. Liu, M. Wei, Y. Liu, Z. Qu, C. Yang, H. Wei, Z. Wei, “The effect of poplar PsnGS1 overexpression on growth and secondary cell wall and fibre characteristics in tobacco,” Frontier of Plant Science, 9(9), Jan. 2018.

Naidu, S., K.S. Sajinkumar, T. Oommen, V.J. Anuja, R.A. Samuel, C. Muraleedharan, “Early warning system for shallow landslides using rainfall threshold and slope stability analysis,” Geoscience Frontiers, 9(6), Nov. 2017.

Nuchitprasitchai, S., M.C. Roggemann, J.M. Pearce, “Factors effecting real-time optical monitoring of fused filament 3D printing,” Progress in Additive Manufacturing, 2(3), Sep. 2017.

Nuchitprasitchai, Siranee, M.C. Roggemann, J.M. Pearce, “Three Hundred and Sixty Degree Real-Time Monitoring of 3-D Printing Using Computer Analysis of Two Camera Views,” Journal of Manufacturing and Materials Processing, 1(1), 2, July 2017.

Oats, R.C., R. Escobar-Wolf, T. Oommen, “A novel application of photogrammetry for retaining wall assessment,” Infrastructures, 2(3), 10, Aug. 2017.

Ong, B., B. Mandal, “Pipeline Implementations of Neumann-Neumann and Dirichlet-Neumann Waveform Relaxation Methods,” Numerical Algorithms, 78(1), 1-20, May 2018.

Oommen, T., Cobin P., J.S. Gierke, K.S. Sajinkumar, “Significance of variable selection and scaling issues for probabilistic modeling of rainfall-induced landslide susceptibility,” Spatial Information Research, 26(1), Feb. 2018.

Pinar, A.J., J. Rice, L. Hu, D.T. Anderson, T.C. Havens, “Efficient multiple kernel classification using feature and decision level fusion,” IEEE Trans. Fuzzy Systems, 25(6), CIS Publication Spotlight, December 2017.

Pinar, A.J., T.C. Havens, “Efficient Multiple Kernel Classification Using Feature and Decision Level Fusion,” IEEE Transactions on Fuzzy Systems, 25(6), Dec. 2017.

Pinar, A.J., T.C. Havens, “Measures of the Shapley Index for Learning Lower Complexity Fuzzy Integrals in Granular Computing,” Granular Computing, 2(4), Dec. 2017.

Pischke, E. C, M.D. Rouleau, K.E Halvorsen, “Public perceptions toward oil palm cultivation in Tabasco, Mexico,” Biomass and Bioenergy, 112, May 2018.

Riemenschneider, C.K., M.W. Buche, D.J. Armstrong, “He Said, She Said: Communication Theory of Identity and The Challenges Men Face in the IS Workplace,” The Data Base for Advances in Information Systems, 2018.

Rouleau, M.D., T. L Sharik, A.M. Wellstead, S. Whitens, Enrollment Decision-Making in U.S. Forestry and Related Natural Resource Programs,” Natural Sciences Education, 46, July 2017.

Schulz, T.J., “Piston alignment for a segmented-aperture imaging system by using piston-sweep phasing,” Optics Letters, 42(15), Aug. 2017.

Sweidan, H.I., T.C. Havens, “Sensor relocation for improved target tracking,” IET Wireless Sensor Systems, 8(2), April 2018.

Tarshizi, E.K., M.W. Buche, B. Inti, R. Chappidi, “Text Mining Methodologies on Report Documents,” project with Data Science graduate students, Transactions of the Society for Mining, Metallurgy, Exploration, Inc., 70(4), 2018.

Wall, J.D., M.W. Buche, “To fear or not to fear? A critical review and analysis of fear appraisals in the information security context,” Communications of the Association for Information Systems, 41(13), 2017

Wei, H., “Construction of a hierarchical gene regulatory network centered around a transcription factor,” Briefing in Bioinformatics, Nov. 2017.

Zwissler, B., T. Oommen, S. Vitton, E. Seagren, “Thermal remote sensing for moisture content monitoring of mine tailings: laboratory study,” Environmental and Engineering Geoscience, 23(4), Nov. 2017.

Conference Proceedings

Ahrawal, U., T. Pinar, C. Wagner, T.C. Havens, D. Soria, J. Garibaldi, “Comparison of fuzzy integral-fuzzy measure based ensemble algorithms with state-of-the-art ensemble algorithms,” Proc. of Int. Conf. on Info. Process. and Management of Uncertainty, June 2018, Cadiz, Spain.

Bos, J.P., “Imaging through turbulence: a light-field approach,” Proc. of Adv. Maui Optical and Space Surveillance Technologies Conf., Sep. 19-22, 2017, Wailea, Maui, HI.

Bouali, E.H., T. Oommen, K.S. Sajinkumar, “Monitoring India’s dams from space: A cost-effective approach using Sentinel-1 radar images,” Proc. of Int’l Dam Safety Conf., Jan. 23-24, 2018, Thiruvananthapuram, India.

Bouali, E.H., T. Oommen, R. Escobar-Wolf, “Structure mapping through spatial and temporal deformation monitoring using persistent scatterer interferometry and geographic information systems,” Proc. of Geotechnical Frontiers Conf., Mar. 13-16, 2017, Orlando, FL.

Byrne, D., N. Önder, Z. Wang, ”mPart: Miss-Ratio Curve Guided Partitioning in Key-Value Stores,” Proc. of ACM SIGPLAN Int’l Symposium on Memory Management (ISMM), June 18, 2018, Philadelphia, PA.

Cummings, I.T., T.J. Schulz, J.P. Doane, T.C. Havens, “An information-theoretic approach to partitioning simultaneous transmit and receive digital phased arrays,” Proc. of the IEEE Radar Conf., April 2018.

Deilamsalehy, H., T.C. Havens, P. Lautala, “Sensor fusion of wayside visible and thermal imagery for rail car wheel and bearing damage detection,” Proc. of Joint Rail Conf., 2017.

Havens, T.C., “Generating random fuzzy (capacity) measures for data fusion simulations,” Proc. of IEEE Symposium Series on Computational Intelligence, Nov. 27-Dec. 1, 2017, Honolulu, HI.

Havens, T.C., A.J. Pinar, “Generating random fuzzy (capacity) measures for data fusion simulations,” Proc. of IEEE Symp.. Series Comp. Intell., Nov. 27-Dec. 1, 2017.

Havens, T.C., C. Wagner, D.T. Anderson, “Efficient modeling and representation of agreement in interval-valued data,” Proc. of the IEEE Int. Conference on Fuzzy Systems, July 9-12, 2017.

Hu, X., Z. Lu, T. Oommen, T. Wang, J. Kim, “Monitoring and modeling tailings impoundment settlement near Great Salt Lake (Utah) using multi-platform time-series InSAR observations,” Proc. of Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, 2017, Fort Worth, TX.

Islam, M.A., D.T. Anderson, X. Du, T.C. Havens, C. Wagner, “Efficient binary fuzzy measure representation and Choquet integral learning,” Proc. of the Int. Conf. on Info. Process and Management of Uncertainty, June11-15, 2018, Cadiz, Spain.

Jafari, M., L.E. Brown, L.A. Gauchia, “Bayesian Framework for EV Battery Capacity Fade Modeling,” Proc. of IEEE Transportation Electrification Conf. and Expo (ITEC), June 13-15, 2018, Long Beach, CA.

Kabir, S., C. Wagner, U. Aickelin, D.T. Anderson, T.C. Havens, “Novel similarity measure for interval-valued data based on their overlapping ratio,” Proc. of the IEEE Int. Conf. Fuzzy Systems, July 9-12, 2017.

Lechner, H., M.S. Rouleau, “Hazard Awareness and Evacuation Decision-Making at Pacaya Volcano,” Proc. of American Geophysical Union Fall Meeting (AGU), Dec. 11-15, 2017, New Orleans, LA.

Sharik, T. L., M.D. Rouleau, A.M. Wellstead, “National Trends in Forestry and Natural Resource Related Degree Programs,” Proc. of Society of American Foresters National Convention (SAF), Nov. 15-19, 2017, Albuquerque, NM.

Liu, J., L.E. Brown, J.W. Dexheimer, S.A. Spooner, “Detection of Weight Data-Entry Errors,” Proc. of American Medical Informatics Association Annual Symposium (AMIA), Nov. 4-8, 2017, Washington, DC.

Ofori, R., M.S. Rouleau, “Using Agent-Based Modeling to Explore the Social, Environment, and Policy Impacts of Seaweed Invasion in the Coastal Communities of Ghana,” Proc. of Int’l Symposium on Society and Resource Management (ISSRM), June 17-21, 2018, Salt Lake City, UT.

Pinar, A.J., T.C. Havens, D.T. Anderson, M.A. Islam, “Visualization and learning of the Choquet integral with limited training data,” Proc. of the IEEE Int. Conf. Fuzzy Systems, July 9-12, 2017.

Sajinkumar, K.S., T. Oommen, “Need for creating landslide atlas of a region,” Proc. of 4^th Indian Landslide Congress, Dec. 8-9, 2017, Mumbai, India.

Tang, Y., C. Ten, L.E. Brown, “Switching reconfiguration of fraud detection within an electrical distribution network,” Proc. of Resilience Week (RWS’17), Sep. 18-22, 2017, Wilmington, DE.

Wagner, C., T.C. Havens, D.T. Anderson, “The arithmetic recursive average as an instance of the recursive weighted power mean,” Proc. of the IEEE Int. Conf. on Fuzzy Systems, July 9-12, 2017, Naples, Italy.

Conference Presentations and Abstracts

Hosseini Fakhr, M. (Graduate student of M. Jeon), “Robot theater with children for STEAM education,” Human Factors and Ergonomics Society Annual Meeting (HFES), Oct. 9-13, 2017, Austin, TX.

Kelliher, E., M. Peabody, E. Veinott, “Premortem: Evaluating two structured analytic techniques for group brainstorming,” Convention of the Assoc. for Psychological Science (APS), May 24-27, 2018, San Francisco, CA.

Maanika, C., L. Rajesh Kumar, S. J. Elmer, J. J. Durocher, K. M. Trewarth, “Associations between Physical Fitness, Cognitive Functioning, and Motor Learning in Older Adults: A Preliminary Study,” Meeting of the Mich. Physiological Society, June 14-15, 2018, Houghton, MI.

Nelson, B. L., S. T. Mueller, “The Use of Mental Models for Hurricane Prediction and Evacuation Decisions” Society for Judgment and Decision Making Conf., Nov. 10-13, 2017, Vancouver, Canada.

Schreifels, D., S. T. Mueller, “A lightweight hybrid model of visual search and target-based saliency,” Annual Meeting on Object Perception, Attention, and Memory (OPAM XXV), Nov. 8-9, 2017, Vancouver, Canada.

Sergeyev, A., N. Alaraje, S. Kuhl, “Researching for Effective Teaching Methodologies in Industrial Robotics,” 9th Int’l Conf. on Education, E-Business, E-Management, and E-Learning (IC4E), Jan. 11-13, 2018, San Diego, CA.

Sergeyev, A., S. Kuhl, V. V. Druschke, J. Hooker, “Implementation of Robotic Vision into the Simulation Environment,” Int’l Conf. on Engineering and Technology, 2018.

Vasey, Eric (Grad student of M. Jeon), “Development and usability testing of a remote control app for an interactive robot,” Human Factors and Ergonomics Society Annual Meeting (HFES), Oct. 9-13, 2017, Austin, TX.

Veinott, E., K. Roos, “From Dragon Slayer to Problem Solver: Video Games as a Warm-Up for Problem Solving,” Digital Media and Learning Conf., Oct. 4-6, 2017, Irvine, CA.

Vertanen, K. D., “The Impact of Word, Multiple Word, and Sentence Input on Virtual Keyboard Decoding Performance,” ACM Conf. on Human Factors in Computing Systems (CHI), Apr. 21-26, 2018, Montreal, Canada.

Vertanen, K., “Towards Improving Predictive AAC using Crowdsourced Dialogues and Partner Context,” 19th Int’l ACM SIGACCESS Conf. on Computers and Accessibility, Oct. 30-Nov. 1, 2017, Baltimore, MD.

Journal Articles

Burns, R., M. Jeon, C. H. Park, “Robotic Motion Learning Framework to Promote Social Engagement,” Applied Sciences, 8(2), Feb. 2018.

Buschkuehl, M., S.M. Jaeggi, S.T. Mueller, P. Shah, J. Jonides, “Training change detection leads to substantial task-specific improvement,” Journal of Cognitive Enhancement 1(4), Dec. 2017.

González-Giraldo, Y., R. E. González-Reyes, S. T. Mueller, B. J. Piper, A. Adan, D. A. Forero, “Situation Awareness Performance in Healthy Young Adults Is Associated With a Serotonin Transporter Gene Polymorphism,” Psychological Reports, Nov. 10, 2017.

Hoffman, R.R., S.T. Mueller, G. Klein, “Explaining Explanation, Part 2: Empirical Foundations,” IEEE Intelligent Systems, 32(4), Aug. 2017.

Li, B., J. Walker, S.A. Kuhl, “The effects of peripheral vision and light stimulation on distance judgments through HMDs,” ACM Transactions on Applied Perception (TAP), 15(2), Apr.2018.

Mueller, S.T., Y.-Y. Tan, “Cognitive perspectives on opinion dynamics: the role of knowledge in consensus formation, opinion divergence, and group polarization,” Journal of Computational Social Science, 1(1), Jan. 2018.

Yoon, H., J. Park, D. Moon, H. Yoon, F. Gomez, B.F. Spencer, “Visual-inertial Displacement Sensing Using Data Fusion of Vision-Based Displacement with Acceleration,” Structural Control Health Monitoring, Nov. 17, 2017.

Conference Proceedings

Javed, H., M. Jeon, A. Howard, C.-H. Park, “Robot-assisted socio-emotional intervention framework for children with Autism Spectrum Disorder, “Proc. of ACM/IEEE Int’l Conf. on Human-Robot Interaction (HRI2018), March 5-8, 2018, Chicago, IL.

Khan, R., M. Jeon, T. Yoon, “Musical Exercise for people with visual impairments: A preliminary study with the blindfolded,” Proc. of 24th Int’l Conf. on Auditory Display (ICAD), June 10-15, 2018, Houghton, MI.

Muhier, M., P. Lautala, A. Salim, M. Jeon, D. Nelson, A. Dean, “The assessment of driver compliance at highway-rail grade crossings based on naturalistic driving study data,” Proc. of Transportation Research Board 97^th Annual Meeting, Washington, DC, Jan. 7-11, 2018.

Roose, K., E. Veinott, “Roller Coaster Park Manager by Day Problem Solver by Night: Effect of Video Game Play on Problem Solving,” Proc. of the ACM SIGCHI Annual Symp. on Computer-Human Interaction in Play (CHI PLAY),” Oct.15-18, 2017, Amsterdam, Netherlands.

Salim, A., P. Lautala, M. Jeon, D. Nelson, “Using naturalistic driving study data to investigate driver behavior at highway-rail grade crossings,” Proc. of IEEE/ASME Joint Rail Conf. (JRC), Pittsburgh, PA, April 18-20, 2018.

Tislar, K., B. Nelson, M. Peabody, Z. Duford, M. Jeon, “Examining the learnability of auditory displays: Music, earcons, spearcons, and lyricons,” Proc. of Int’l Conf. on Auditory Display (ICAD), June 10-15, 2018, Houghton, MI.

Vasey, E., X. Li, T. Yoon, T., M. Jeon, “A preliminary evaluation of a smart exercise application with wearable sensors,” Adjunct Proc. of Int’l Conf. on Auditory Display (ICAD), June 10-15, 2018, Houghton, MI.

Vertanen, K., C. Fletcher, D. Gaines, J. Gould, P.O. Kristensson, “The Impact of Word, Multiple Word, and Sentence Input on Virtual Keyboard Decoding Performance,” Proc. of the ACM Conf. on Human Factors in Computing Systems, Apr. 21-26, 2018, Montreal, Canada.

Vertanen, K., “Towards Improving Predictive AAC using Crowdsourced Dialogues and Partner Context,” Proc. of the 19th Int’l ACM SIGACCESS Conf. on Computers and Accessibility (ASSETS), Oct. 30-Nov. 1, 2017, Baltimore, MD.

Conference Presentations

Feng, Z., “Towards Practically-Efficient Spectral Sparsification of Graphs,” SIAM Annual Meeting (AN17) and Carnegie Mellon University, Pittsburgh, PA, July 10-14, 2017.

Journal Articles

Feng, Z., “Similarity-Aware Spectral Sparsification by Edge Filtering,“ arXiv.org, Nov. 2017.

García, J.C., J.A. Montiel-Nelson, S. Nooshabadi, “2V Single Supply CMOS Level–up Shifter for Low Energy Systems,” Journal of Low Power Electronics, 13(4), 580-587, Dec. 2017.

Hajisheykhi, R., A. Ebnenasir, S.S. Kulkarni, “A Theory of Integrating Tamper Evidence with Stabilization, ELSEVIER Science of Computer Programming, 160(1), 93-114, Aug. 2018.

Hu, X., X. Wang, L. Zhou, Y. Luo, Z. Wang, C. Ding, C. Ye, “Fast MRC Modeling for Storage Cache,” ACM Transactions on Storage (TOS), 14(2), May 2018.

Nooshabadi, S.V., C. Jiang, “Multi-level complexity reduction for HEVC multiview coding,” Journal of Real-Time Image Processing, 1-17, Feb. 2018.

Raza, M. A., Z. Iqbal, S.-S. Byun, H. Kang, and H.-N. Lee, “A versatile coexistence decision-making system for efficient TV whitespace sharing among whitespace objects,” Wireless Communications and Mobile Computing, Oct. 2017.

Wang, Y., Z. Feng, “Towards Scalable Spectral Clustering via Spectrum-Preserving Sparsification,” arViv.org, Oct. 2017.

Zhang, Y., Z. Zhao, Z. Feng, “Towards Scalable Spectral Sparsification of Directed Graphs,” arXiv.org, Dec. 2018.

Zhao, Z., Y. Wang, Z. Feng, “Nearly-Linear Time Spectral Graph Reduction for Scalable Graph Partitioning and Data Visualization,” arXiv.org, Dec. 2018.

Conference Proceedings

Byrne, D., N. Önder, Z. Wang, “mPart: Miss-Ratio Curve Guided Partitioning in Key-Value Stores,” Proc. of the Int’l Symposium on Memory Management (ISMM’18), June 18-22, 2018, Philadelphia, PA.

Feng, Z., “Similarity-Aware Spectral Sparsification by Edge Filtering,” Proc. of ACM/IEEE Design Automation Conf. (DAC), June 24-29, 2018, San Francisco, CA.

Hiebel, J., L. Brown, Z. Wang, “Constructing Dynamic Policies for Paging Mode Selection,” Proc. of Int’l Conf. on Parallel Processing (ICPP), Aug. 13-16, 2018, Eugene, OR.

Jin, Z., S. Önder, “A two-phase recovery mechanism,” Proc. of the 32nd Int’l Conf. on Supercomputing (ICS), June 12-15, 2018, Beijing, China.

Jin, Z., S. Önder, “Dynamic Memory Dependence Predication,” Proc. of the 45th Int’l Symposium on Computer Architecture (ISCA), June 2-6, 2018, Los Angeles, CA.

Liu, Y., X. Zhao, M. Jahre, Z. Wang, X. Wang, Y. Luo, L. Eeckhout, “Get Out of the Valley: Power-Efficient Address Mapping for GPUs,” Proc. of Int’l Symp. on Computer Architecture, June 2-6, 2018, Los Angeles, CA.

Liu, Y., X. Zhao, Z. Yu, Z. Wang, X. Wang, Y. Luo, L. Eeckhout, “BACM: Barrier-Aware Cache Management for Irregular Memory-intensive GPGPU Workloads,” Proc. of 2017 Int’l Conf. on Computer Design, Sep. 9-13, 2017, Boston, MA.

Stokes, M., R. Baird, Z. Jin, D. Whalley, S. Önder, “Decoupling Address Generation from Loads and Stores to Improve Data Access Energy Efficiency,” Proc. of ACM SIGPLAN/SIGBED Conf. on Languages, Compilers, and Tools for Embedded Systems (LCTES), June 18-22, 2018, Philadelphia, PA.

Xiang, Y., X. Wang, Z. Huang, Z. Wang, Y. Luo, Z. Wang, “DCAPS: Dynamic Cache Allocation with Partial Sharing,” Proc. of EuroSys Conf. (EuroSys), Apr. 23-26, 2018, Porto, Portugal.

Zhao, Z., Y. Wang, Z. Feng, “AMG: Sparsified Graph Theoretic Algebraic Multigrid for Solving Large Symmetric Diagonally Dominant (SDD) Matrices,” Proc. of IEEE/ACM Int’l Conf. on Computer-Aided Design (ICCAD), Nov. 13-16, 2017, Irvine, CA.

Chen, P., J. Yue, X. Liao, H. Jin, “Simultaneously Optimizing DRAM Cache Latency and Hit Rate”, Proc. of the 35th IEEE Int’l Conf. on Computer Design (ICCD), Nov. 5-8, 2017, Boston, MA.

Liu, Y., X. Zhao, Z. Yu, Z. Wang, X. Wang, Y. Luo, L. Eeckhout, “BACM: Barrier-Aware Cache Management for Irregular Memory-intensive GPGPU Workloads,” Proc. of the 2017 Int’l Conf. on Computer Design (ICCD), Nov. 5-8, 2017, Boston, MA.

Safari, M., A. Ebnenasir, “Locality-Based Relaxation: An Efficient Method for GPU-based Computation of Shortest Paths,” Proc. of the Second IFIP Int’l Conf. on Topics in Theoretical Computer Science (TTCS), Sept. 12-14, 2017, Tehran, Iran.

Zhao, Z., Z. Feng, “A Spectral Graph Sparsification Approach to Scalable Vectorless Power Grid Integrity Verification,” Proc. of 54th ACM/EDAC/IEEE Design Automation Conf. (DAC), June 18-22, 2017, Austin, TX.

Klinkhamer, A., A. Ebnenasir, “Synthesizing Parameterized Self-Stabilizing Rings With Constant-Space Processes,” Proc. of the 7th IPM Int’l Conf. on Fundamentals of Software Engineering (FSEN), April 26-28, 2017, Tehran, Iran.

Aghdaei, Ali, and Seyed A. Reza Zekavat. “Novel low-latency, high-resolution and low-cost time synchronisation.” IET Wireless Sensor Systems (2017).

Bharati, G. R., and S. Paudyal. “Coordinated control of distribution grid and electric vehicle loads.” Electric Power Systems Research 140 (2016): 761-768.

Bulbul, Rashiduzzaman, Pingal Sapkota, Chee-Wooi Ten, Lingfeng Wang, and Andrew Ginter. “Intrusion evaluation of communication network architectures for power substations.” IEEE Transactions on Power Delivery 30.3 (2015): 1372-1382.

Cao, Chong, Ming Cheng, and Bo Chen. “Optimal scheduling of PEV charging/discharging in microgrids with combined objectives.” Smart Grid and Renewable Energy 7.04 (2016): 115.

Cheng, Ming, and Bo Chen. “The Model Integration and Hardware-in-the-Loop (HiL) Simulation Design for the Analysis of a Power-Split Hybrid Electric Vehicle with Electrochemical Battery Model.” SAE International Journal of Passenger Cars-Electronic and Electrical Systems 10.2017-01-0001 (2017).

Guo, Shuaicheng, Qingli Dai, Xiao Sun, Ye Sun, and Zhen Liu. “Ultrasonic Techniques for Air Void Size Distribution and Property Evaluation in Both Early-Age and Hardened Concrete Samples.” Applied Sciences 7.3 (2017): 290.

Guo, Yonghe, Chee-Wooi Ten, Shiyan Hu, and Wayne W. Weaver. “Preventive maintenance for advanced metering infrastructure against malware propagation.” IEEE Transactions on Smart Grid 7.3 (2016): 1314- 1328.

Jamalabdollahi, Mohsen, and Seyed Reza Zekavat. “High Resolution ToA Estimation via Optimal Waveform Design.” IEEE Transactions on Communications 65.3 (2017): 1207-1218.

Jiang, Ye, Min Jiang, Jian Luo, Zhaohui Gan, and Jinshan Tang. “An interactive image retrieval method.” Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on. IEEE, 2016.

Liu, Yang, and Shiyan Hu. “Renewable Energy Pricing Driven Scheduling in Distributed Smart Community Systems.” IEEE Transactions on Parallel and Distributed Systems 28.5 (2017): 1445-1456.

Liu, Yang, Shiyan Hu, and Tsung-Yi Ho. “Leveraging strategic detection techniques for smart home pricing cyberattacks.” IEEE Transactions on Dependable and Secure Computing 13.2 (2016): 220-235.

Li, Xian, and Ye Sun. “NCMB-Button: A Wearable Non-contact System for Long-Term Multiple Biopotential Monitoring.” Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017 IEEE/ACM International Conference on. IEEE, 2017.

Li, Xian, and Ye Sun. “Design and evaluation of a non-contact wireless biopotential monitoring system with motion artifacts.” Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on. IEEE, 2017.

Moridian, Barzin, Nina Mahmoudian, Wayne W. Weaver, and Rush D. Robinett. “Postdisaster Electric Power Recovery Using Autonomous Vehicles.” IEEE Transactions on Automation Science and Engineering 14.1 (2017): 62-72.

Razmara, M., G. R. Bharati, Drew Hanover, M. Shahbakhti, S. Paudyal, and R. D. Robinett III. “Building to- grid predictive power flow control for demand response and demand flexibility programs.” Applied Energy 203 (2017): 128-141.

Razmara, Meysam, Guna R. Bharati, Mahdi Shahbakhti, Sumit Paudyal, and Rush D. Robinett III. “Bilevel Optimization Framework for Smart Building-to-Grid Systems.” IEEE Transactions on Smart Grid (2016).

Sun, Wensheng, and Zhaohui Wang. “Modeling and prediction of large-scale temporal variation in underwater acoustic channels.” OCEANS 2016-Shanghai. IEEE, 2016.

Zhang, Yichi, Lingfeng Wang, Yingmeng Xiang, and Chee-Wooi Ten. “Power system reliability evaluation with SCADA cybersecurity considerations.” IEEE Transactions on Smart Grid 6.4 (2015): 1707-1721.

Arney, Chad A., and Xinli Wang. “Active Snort Rules and the Needs for Computing Resources: Computing Resources Needed to Activate Different Numbers of Snort Rules.” Proceedings of the 5th Annual Conference on Research in Information Technology. ACM, 2016.

Cai, Yu. “Designing A New Cyber Security Course by Dissecting Recent Cyber Breaches,” In Proc. USENIX Summit for Educators in System Administration (SESA), Dec. 2016.

Cui, Huanqing, Minglei Shu, Min Song, and Yinglong Wang. “Parameter Selection and Performance Comparison of Particle Swarm Optimization in Sensor Networks Localization.” Sensors 17.3 (2017): 487.

Hembroff, Guy. “Improving Patient Safety, Health Data Accuracy, and Remote Self-Management of Health Through the Establishment of a Biometric-Based Global UHID.” Studies in health technology and informatics 231 (2016): 42-53.

Hembroff, Guy, and Marcos Almeida Matos. “Bridging the Technology Gap in Health Care: Developing a Model to Better Help Those Who Help Others.” Brazilian Journal of Medicine and Human Health 4.4 (2016).

He, Shuibing, Yuanhua Yang, Xianbin Xu, and Xiaohua Xu. “MGPA: a multi-granularity space preallocation algorithm for object-based storage devices.” International Journal of Embedded Systems 8.2-3 (2016): 237-248.

Jalooli, Ali, Min Song, and Xiaohua Xu. “Delay Efficient Disconnected RSU Placement Algorithm for VANET Safety Applications.” Wireless Communications and Networking Conference (WCNC), 2017 IEEE. IEEE, 2017.

Jiang, Peng, ChunSheng Xin, and Min Song. “Disruption Aware Routing and link Scheduling for cognitive radio networks.” Computing, Networking and Communications (ICNC), 2017 International Conference on. IEEE, 2017.

Ma, Jun, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa Keranen, and Chaoli Wang. “AESvisual: A Visualization Tool for the AES Cipher.” Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2016.

Paul, Prosanta, ChunSheng Xin, Min Song, and Yanxiao Zhao. “Wideband Spectrum Sensing in Cognitive Radio Networks.” Advances in Computer Communications and Networks: From Green, Mobile, Pervasive Networking to Big Data Computing (2016): 245.

Wall, Jeffrey D., and Rahul Singh. “Contextualized Meaning Extraction: A Meta-Algorithm for Big Data Text Mining with Pragmatics.” International Journal of Organizational and Collective Intelligence (IJOCI) 7.3 (2017): 15-29.

Wang, Man, Jean Mayo, Ching-Kuang Shene, Steve Carr, and Chaoli Wang. “UNIXvisual: A Visualization Tool for Teaching UNIX Permissions.” Proceedings of the 2017 ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2017.

Wang, Zhaohui, Xiaohua Xu, and Chaofeng Wang. “Multi-flow scheduling in multi-hop underwater acoustic networks.” OCEANS 2016-Shanghai. IEEE, 2016.

Xu, Xiaohua, and Min Song. “Approximation algorithms for wireless opportunistic spectrum scheduling in cognitive radio networks.” Computer Communications, IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on. IEEE, 2016.

Addison, Priscilla, Pasi Lautala, and Thomas Oommen. “Utilizing Vegetation Indices as a Proxy to Characterize the Stability of a Railway Embankment in a Permafrost Region.” (2016).

Anderson, Derek T., Paul Elmore, Fred Petry, and Timothy C.Havens. “Fuzzy Choquet integration of homogeneous possibility and probability distributions.” Information Sciences 363 (2016): 24-39.

Beck, Jeffrey, and Jeremy P. Bos. “Open source acceleration of wave optics simulations on energy efficient high-performance computing platforms.” SPIE Defense+ Security. International Society for Optics and Photonics, 2017.

Bialas, James, Thomas Oommen, Umaa Rebbapragada and Eugene Levin”Object-based classification of earthquake damage from high-resolution optical imagery using machine learning.” Journal of Applied Remote Sensing 10.3 (2016): 036025-036025.

Bos, Jeremy P. “Empirical evaluation of the anisoplanatic bispectrum transfer function for extended objects.” SPIE Optical Engineering+ Applications. International Society for Optics and Photonics, 2016.

Escobar-Wolf, Rüdiger, Thomas Oommen, Colin N. Brooks, Richard J. Dobson, and Theresa M. Ahlborn. “Unmanned Aerial Vehicle (UAV)-Based Assessment of Concrete Bridge Deck Delamination Using Thermal and Visible Camera Sensors: A Preliminary Analysis.” Research in Nondestructive Evaluation (2017): 1-16.

Frank, Jared, Umaa Rebbapragada, James Bialas, Thomas Oommen, and Timothy C. Havens. “Effect of Label Noise on the Machine-Learned Classification of Earthquake Damage.” Remote Sensing 9.8 (2017): 803.

Havens, Timothy C., Christian Wagner, and Derek T. Anderson. “Efficient modeling and representation of agreement in interval-valued data.” Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on. IEEE, 2017.

Kumar, Dheeraj, James C. Bezdek, Marimuthu Palaniswami, Sutharshan Rajasegarar, Christopher Leckie, and Timothy C. Havens. . “A hybrid approach to clustering in big data.” IEEE transactions on cybernetics 46.10 (2016): 2372-2385.

Kumari, Sapna, Wenping Deng, Chathura Gunasekara, Vincent Chiang, Huann-sheng Chen, Hao Ma, Xin Davis and Hairong Wei. “Bottom-up GGM algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways or processes.” BMC bioinformatics 17.1 (2016): 132.

Ong, Benjamin W., Ronald D. Haynes, and Kyle Ladd. “Algorithm 965: RIDC Methods: A Family of Parallel Time Integrators.” ACM Transactions on Mathematical Software (TOMS) 43.1 (2016): 8.16.

Ong, Benjamin W., Andrew J. Christlieb, and Bryan D. Quaife. “A New Family of Regularized Kernels for the Harmonic Oscillator.” Journal of Scientific Computing 71.3 (2017): 1212-1237.

Pinar, Anthony J., Joseph Rice, Lequn Hu, Derek T. Anderson, Timothy C. Havens. “Efficient multiple kernel classification using feature and decision level fusion.” IEEE Transactions on Fuzzy Systems (2016).

Wagner, Christian, Timothy C. Havens, and Derek T. Anderson. “The arithmetic recursive average as an instance of the recursive weighted power mean.” IEEE Int. Conf. Fuzzy Systems. 2017.

Winikus, Jennifer, and Laura E. Brown. “Representation of Clinical Information in Outpatient Oncology for Prognosis Using Regression.” Advances in Science, Technology and Engineering Systems Journal 1.5 (2016): 16-20.

Yazdanparast, Sakineh, and Timothy C. Havens. “Modularity maximization using completely positive programming.” Physica A: Statistical Mechanics and its Applications 471 (2017): 20-32.

Barnes, Jaclyn, Maryam FakhrHosseini, Myounghoon Jeon, Chung-Hyuk Park, and Ayanna Howard. “The influence of robot design on acceptance of social robots.” Ubiquitous Robots and Ambient Intelligence (URAI), 2017 14th International Conference on. IEEE, 2017.

Barnes, Jaclyn, Maryam FakhrHosseini, Eric Vasey, Zackery Duford, Joseph Ryan, and Myounghoon Jeon. “Child-Robot Theater: STEAM Education in an Afterschool Program.” Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. ACM, 2017.

Csapó, Ádám, György Wersényi, and Myounghoon Jeon. “A Survey on Hardware and Software Solutions for Multimodal Wearable Assistive Devices Targeting the Visually Impaired.” Acta Polytechnica Hungarica 13.5 (2016): 39-63.

Heidi Christensen, François Portet, Thomas Quatieri, Frank Rudzicz, Keith Vertanen. “SLPAT 2016 Workshop on Speech and Language Processing for Assistive Technologies” SLPAT 2016 (2016).

Hoffman, Robert R., Shane T. Mueller, and Gary Klein. “Explaining Explanation, Part 2: Empirical Foundations.” IEEE Intelligent Systems 32.4 (2017): 78-86.

Jeon, Myounghoon, ed. Emotions and Affect in Human Factors and Human-Computer Interaction. Academic Press, 2017.

Jeon, Myounghoon. “Robotic Arts: Current Practices, Potentials, and Implications.” Multimodal Technologies and Interaction 1.2 (2017): 5.

Li, Bochao, Anthony Nordman, James Walker, and Scott A. Kuhl. “The effects of artificially reduced field of view and peripheral frame stimulation on distance judgments in HMDs.” Proceedings of the ACM Symposium on Applied Perception. ACM, 2016.

Perelman, Brandon S., Shane T. Mueller, and Kristin E. Schaefer. “Evaluating path planning in human-robot teams: Quantifying path agreement and mental model congruency.” Cognitive and Computational Aspects of Situation Management (CogSIMA), 2017 IEEE Conference on. IEEE, 2017.

Sergeyev, A., Alaraje, N., Parmar, S., Kuhl, S., Druschke, V. and Hooker, J., “Promoting industrial robotics education by curriculum, robotic simulation software, and advanced robotic workcell development and implementation.” Systems Conference (SysCon), 2017 Annual IEEE International. IEEE, 2017.

Trewartha, Kevin M., and J. Randall Flanagan. “Distinct contributions of explicit and implicit memory processes to weight prediction when lifting objects and judging their weights: an aging study.” Journal of neurophysiology 116.3 (2016): 1128-1136.

Trewartha, Kevin M., and J. Randall Flanagan. “Linking actions and objects: Context-specific learning of novel weight priors.” Cognition 163 (2017): 121-127.

Trutoiu, L., M. Geuss, S. Kuhl, B. Sanders, R. Mantiuk, M. N. Geuss, M. J. McCardell et al. “ACM SIGGRAPH Symposium on Applied Perception.” PLoS ONE 72 (2017): 1890-1902.

Vertanen, Keith. “Counting Fingers: Eyes-Free Text Entry without Touch Location.” Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI 2016, workshop). 2016.

Vertanen, Keith, Mark Dunlop, James Clawson, Per Ola Kristensson, and Ahmed Sabbir Arif. “Inviscid text entry and beyond.” Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2016.

Walker, James, Bochao Li, Keith Vertanen, and Scott Kuhl. “Efficient Typing on a Visually Occluded Physical Keyboard.” Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017.

Yoon, Hyungchul, Vedhus Hoskere, Jong-Woong Park, and Billie F. Spencer. “Cross-Correlation-Based Structural System Identification Using Unmanned Aerial Vehicles.” Sensors 17.9 (2017): 2075.

Yoon, Hyungchul, Hazem Elanwar, Hajin Choi, Mani Golparvar-Fard, and Billie F. Spencer. “Target-free approach for vision-based structural system identification using consumer-grade cameras.” Structural Control and Health Monitoring 23.12 (2016): 1405-1416.

Bonamy, Paul J., Steve Carr, and Jean Mayo. “Toward a mandatory integrity protection system.” 31st International Conference on Computers and Their Applications, CATA 2016. The International Society for Computers and Their Applications (ISCA), 2016.

Hajisheykhi, Reza, Ali Ebnenasir, and Sandeep S. Kulkarni. “A theory of integrating tamper evidence with stabilization.” Science of Computer Programming (2017).

Hajisheykhi, Reza, Mohammad Roohitavaf, Ali Ebnenasir, and Sandeep Kulkarni. “A framework for verification of SystemC TLM programs with model slicing: A case study.” Design Automation Conference (DAC), 2016 53nd ACM/EDAC/IEEE. IEEE, 2016.

Hajmohammadi, Solmaz, and Saeid Nooshabadi. “Parallel blind deconvolution reconstruction using phase diversity for three-dimensional imaging.” Optical Engineering 56.4 (2017): 043104-043104.

Hu, Linjia, and Saeid Nooshabadi. “Massive parallelization of approximate nearest neighbor search on KDtree for high-dimensional image descriptor matching.” Journal of Visual Communication and Image Representation 44 (2017): 106-115.

Hu, Xiameng, Xiaolin Wang, Lan Zhou, Yingwei Luo, Chen Ding, Song Jiang, and Zhenlin Wang. “Optimizing Locality-Aware Memory Management of Key-Value Caches.” IEEE Transactions on Computers 66.5 (2017): 862-875.

Hu, Xiameng, Xiaolin Wang, Yechen Li, Yingwei Luo, Chen Ding, and Zhenlin Wang. “Optimal Symbiosis and Fair Scheduling in Shared Cache.” IEEE Transactions on Parallel and Distributed Systems 28.4 (2017): 1134-1148.

Jiang, Caoyang, and Saeid Nooshabadi. “A scalable massively parallel motion and disparity estimation scheme for multiview video coding.” IEEE Transactions on Circuits and Systems for Video Technology 26.2 (2016): 346-359.

Jiang, Caoyang, and Saeid Nooshabadi. “Parallel Multiview Video Coding Exploiting Group of Pictures Level Parallelism.” IEEE Transactions on Parallel and Distributed Systems 27.8 (2016): 2316-2328.

Klinkhamer, Alex, and Ali Ebnenasir. “Shadow/Puppet Synthesis: A Stepwise Method for the Design of Self-Stabilization,” IEEE Transactions on Parallel and Distributed Systems, 2016.

Liu, Zhen, Xiong Yu, and Lin Wan. “Capillary rise method for the measurement of the contact angle of soils.” Acta Geotechnica 11.1 (2016): 21-35.

Ma, Jun, Jun Tao, Jean Mayo, Ching-Kuang Shene, Melissa Keranen, and Chaoli Wang. “AESvisual: A Visualization Tool for the AES Cipher.” Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education. ACM, 2016.

Yamazaki, Ichitaro, Saeid Nooshabadi, Stan Tomov, and Jack Dongarra. “Structure-aware Linear Solver for Realtime Convex Optimization for Embedded Systems.” IEEE Embedded Systems Letters (2017).

Zhang, Chao, Yi Dong, and Zhen Liu. “Lowest matric potential in quartz: Metadynamics evidence.” Geophysical Research Letters 44.4 (2017): 1706-1713.

Zhang, Chao, Zhen Liu, and Peng Deng. “Atomistic- scale investigation of effective stress principle of saturated porous materials by molecular dynamics.” Geophysical Research Letters 43.19 (2016).

Journal Articles

C. Cao, M. Cheng, and B. Chen, “Optimal Scheduling of PEV Charging/Discharging in Microgrids with Combined Objectives,” Smart Grid and Renewable Energy, April 2016.

Conference Proceedings

L. Wang, C. Cao, and B. Chen, “Grid-tied Single-phase Bi-directional PEV Charging/Discharging Control,” SAE 2016 World Congress, Detroit, MI, April 2016.

C. Liu, M. Cheng, B. Chen, A. Champagne, and K. Patel, “Model integration and Hardware-in-the-loop (HiL) simulation design for the testing of Electric Power Steering controllers,” SAE 2016 World Congress, Detroit, MI, April 2016.

S. Joshi and B. Chen, “Modeling and Hardware-In-the-loop Simulation of Power-Split Device for Hybrid Electric Vehicles,” Best Student Paper at 2015 ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA2015), Boston, MA, August 2015.

B. Chen, K.S. Hardy, J.D. Harper, T.P. Bohn, and D.S. Dobrzynski, “Towards Standardized Vehicle Grid Integration: Current Status, Challenges, and Next Steps,” 2015 IEEE Transportation Electrification Conference & Expo (ITEC’15), Dearborn, MI, June 2015.

M. Cheng, L. Feng, and B. Chen, “Simulation of Lithium Ion HEV Battery Aging Using Electrochemical Battery Model under Different Driving Cycle and Ambient Temperature Conditions,” SAE 2015 World Congress, Detroit, MI, April 2015.

L. Feng, M. Cheng, and B. Chen, “Predictive Control of a Power-split HEV with Fuel Consumption and SOC Estimation,” SAE 2015 World Congress, Detroit, MI, April 2015.

Journal Articles

Y. Liu, S. Hu, and T. Ho, “Leveraging Strategic Detection Techniques for Smart Home Pricing Cyberattacks,” IEEE Transactions on Dependable and Secure Computing, Accepted for Publication.

Y. Guo, C. Ten, S. Hu, and W. Weaver, “Preventive Maintenance for Advanced Metering Infrastructure Against Malware Propagation,” IEEE Transactions on Smart Grid, Accepted for Publication.

J. Wang, Y. Liu, Y. Zhou, and S. Hu, “Buffering Carbon Nanotube Interconnects Considering Inductive Effects,” Journal of Circuits, Systems and Computers (JCSC), Accepted for Publication.

Y. Liu and S. Hu, “Cyberthreat Analysis and Detection for Energy Theft in Social Networking of Smart Homes,” IEEE Transactions on Computational Social Systems, Accepted for Publication.

B. Yu, K. Yuan, J. Gao, S. Hu, and D.Z. Pan, “EBL Overlapping aware Stencil Planning for MCC System,” ACM Transactions on Design Automation of Electronic Systems, Accepted for Publication.

Wang, L., Hu, S., Betis, G. and Ranjan, R., “A Computing Perspective on Smart City,” IEEE Transactions on Computers, Accepted for Publication.

L. Liu, Y. Liu, L. Wang, A. Zomaya, and S. Hu, “Economical and Balanced Energy Usage in The Smart Home Infrastructure: A Tutorial and New Results,” IEEE Transactions on Emerging Topics in Computing, vol. 3, no. 4, pp. 556-570, December 2015.

Y. Liu, S. Hu, H. Huang, R. Ranjan, A. Zomaya, and L. Wang, “Game Theoretic Market Driven Smart Home Scheduling Considering Energy Balancing,” IEEE Systems Journal, Accepted for Publication.

Y. Zhou, X. Chen, A. Zomaya, L. Wang, and S. Hu, “A Dynamic Programming Algorithm for Leveraging Probabilistic Detection of Energy Theft in Smart Home,” IEEE Transactions on Emerging Topics in Computing, vol 3, no. 4, pp. 502-513, December 2015.

T. Wei, J. Zhou, J. Yan, X. Chen, K. Wu, and S. Hu, “Sharp Corner/Edge Recognition in Domestic Environments Using RGB-D Camera Systems,” IEEE Transactions on Circuits and Systems (II), vol. 62, no. 10, pp. 987-991, October 2015.

X. Chen, L. Wang, A. Zomaya, S. Hu, and L. Liu, “Cloud Computing for VLSI Floorplanning Considering Peak Temperature Reduction,” IEEE Transactions on Emerging Topics in Computing, vol. 3, no. 4, pp. 534-543, December 2015.

Book Chapters

L. Liu, Y. Zhou, and S. Hu, “Timing Driven Buffer Insertion for Carbon Nanotube Interconnects, in the Nano-CMOS and Post-CMOS Electronics: Device and Modelling,” Saraju P. Mohanty and Ashok Srivastava, ed., IET, 2015.

Y. Liu and S. Hu, “Smart Home Scheduling and Cybersecurity: Fundamentals,” Smart Cities and Homes: Key Enabling Technologies, Petros Nicopolitidis and Mohammad S. Obaidat, ed., Elsevier 2016.

Y. Liu, S. Hu, J. Wu, Y. Shi, Y. Jin, Y. Hu, and X. Li, “Smart Home Cybersecurity Considering The Integration of Renewable Energy,” Smart Cities and Homes: Key Enabling Technologies,Petros Nicopolitidis and Mohammad S. Obaidat, ed., Elsevier 2016.

B. Moridian, D. Bennett, N. Mahmoudian, and R. Robinett, “Design of Mobile Microgrid’s Hierarchy for Power Distribution”, Dynamic Systems and Control Conference (DSCC), Columbus, OH, October 28–30, 2015.

B. Moridian, N. Mahmoudian, W. Weaver, and R. Robinett, “Robotic Power Distribution System for Post-Disaster Operations”, IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), West Lafayette, IN October 18-20, 2015.

S. Ziaee Fard, G. Aramizo Riberio, and N. Mahmoudian, “GUPPIE, Underwater 3D Printed Robot a Game Changer in Control Design Education”, American Control Conference (ACC), Chicago, IL, July 1-3, 2015.

G. Aramizo Riberio, A. Pinar, E. Wilkening, S. Ziaee Fard, and N. Mahmoudian N., “A Multi-level Motion Controller for Low-cost AUVs”, International Conference on Robotics and Automation (ICRA), Seattle, WA, May 25–30, 2015.

S. Paudyal and R. Gokaraju, “Out-of-Step Protection for Multi-Machine Power Systems Using Local Measurements,” 2015 IEEE PowerTech, Eindhoven, The Netherlands.

S. Paudyal and G. R. Bharati, “Hierarchical Approach for Optimal Operation of Distribution Grid and Electric Vehicles,“ 2015 IEEE PowerTech, Eindhoven, The Netherlands.

Y. Wei, S. Paudyal, and B. A. Mork, “Out-of-step Detection Using Zubov’s Approximation Stability Boundaries,” 2015 IEEE PES GM, Colorado, USA.

R. Misra and S. Paudyal, “Analysis and Reduction of Total Harmonic Distortions in Distribution System with Electric Vehicles and Wind Generators,” 2015 IEEE PES GM, Colorado, USA.

M. Rajmara, G. R. Bharati, M. Shahbakhti, S. Paudyal, and R. D. Robinett, “Bidirectional Optimal Operation of Smart Building-to-Grid Systems,” 2015 American Control Conference, Chicago, USA.

S. Paudyal, C. A. Cañizares, and K. Bhattacharya, “Optimal Operation of Industrial Energy Hubs in Smart Grids,” IEEE Trans. Smart Grid, March, 2015.

Y. Sun and X. Yu, Capacitive Biopotential Measurement for Electrophysiological Signal Acquisition: A Review,” IEEE Sensors Journal, Accepted for Publication, 2015.

Z. Li and Y. Sun, “A human naturalistic Interface for chronic disease monitoring,” 2015 IEEEHI-POCT, Bethesda, MD, November 2015.

Y. Sun, “Human-centered lighting system “Human-centric LED lighting system using ubiquitous physiological measurement,” 35th ASME Computers and Information in Engineering Conference, Boston, MA, August 2015.

Books

J. Tang, S. Agaign, and J. Tan (eds), “Electronic Imaging Applications in Mobile Healthcare,”SPIE press, February 2016.

Journal Articles

Z. Hu, X. Zhang, X. Liu, and J. Tang, “Prediction of hot regions in protein-protein interaction by combining density-based incremental clustering with feature-based classification,” Computers in Biology and Medicine, vol. 61, pp. 127-137, 2015.

Conference Papers

Z. Hu and J. Tang, “Detection of fruit bruise based on 3D meshes and machine learning technologies,” SPIE Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, April 2016.

Z. Hu and J. Tang, “A hybrid algorithm for identification of book titles and labels in library using iPhone,” SPIE Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, April 2016.

Z. Hu and J. Tang, “3D cluster-driven trilateral filter for speckle reduction in ultrasound images,” SPIE Mobile Multimedia/Image Processing, Security, and Applications, Baltimore, MD, April 2015.

S. Zhao and K. Zhang, “Observing individual dynamic choices of activity chains from location-based crowdsourced data,” The 95th Annual Meeting of Transportation Research Board, Washington D.C., 2016.

J. Xiong, K. Zhang, Y. Guo, and W. Su, “Investigate the Impacts of PEV Charging Facilities on Integrated Electric Distribution System and Electrified Transportation System,” IEEE Transactions on Transportation Electrification, vol. 1, no. 2, pp. 178-187, August 2015.

A. Gauchia, K. Jafari, K. Zhang, and L. Gauchia, “REV-cycle: A MATLAB-based tool for large-data analysis of real-life driving cycles for electric vehicles,” IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, June 2015.

J. Zhu and K. Zhang, “A Bayesian Adaptive Inference Approach to Estimating Heterogeneous Gap Acceptance Functions,” Transportation Research Board 94th Annual Meeting, Washington, D.C., 2015.

J. Auld, M. Hope, H. Ley, V. Sokolov, B. Xu, and K. Zhang, “POLARIS: Agent-Based Modeling Framework Development and Implementation for Integrated Travel Demand and Network and Operations Simulations,” Transportation Research Board 94th Annual Meeting, Washington, D.C., 2015.

D. Yang and K. Zhang, “Optimizing Multi-Layer Merge-In-Transit Supply Chains,” Transportation Research Board 94th Annual Meeting, Washington, D.C., 2015.

E. Troja and S. Bakiras, “Leveraging P2P interactions for efficient location privacy in database-driven dynamic spectrum access,” International Journal of Network Security (IJNS), 17(5):569-579, Sep 2015.

E. Troja and S. Bakiras, “Efficient location privacy for moving clients in database-driven dynamic spectrum access,” in Proc. of IEEE ICCCN, 2015.

X. Xu, and M. Song, “Approximation Algorithms for Wireless Opportunistic Spectrum Scheduling in Cognitive Radio Networks,” to appear in Proc. of IEEE INFOCOM, April 2016.

T. Amin, D. Rawat, and M. Song, “Performance Analysis of Secondary Users in the Presence of Attackers in Cognitive Radio Networks,” Proc. of IEEE GLOBECOM, Dec 2015.

X. Xu, and M. Song, “Delay Efficient Real-time Multicast Scheduling in Multi-hop Wireless Sensor Networks,” Proc. of IEEE GLOBECOM, Dec 2015.

Y. Xiao, MD Anjum, M. Song, X. Xu, and G. Wang, “Optimal Resource Allocation for Delay Constrained Users in Self-coexistence WRAN,” Proc. of IEEE GLOBECOM, Dec 2015.

S. Reddy, I. Cushman, D. Rawat, and M. Song, “Securing Real-time Opportunistic Spectrum Access in Cognitive Networks Against Malicious Secondary Users,” Proc. of International Workshop on Security, Privacy, and Forensics in Wireless Mobile Ad Hoc Networks and Wireless Sensor Networks, Dec 2015.

P. Akula, M. Mahmoud, K. Akkaya, and M. Song, “Privacy-Preserving and Secure Communication Scheme for Power Injection in Smart Grid,” Proc. of IEEE SmartGridComm, Nov 2015.

W. Sun, C. Wang, Z. Wang, and M. Song, “Experimental Comparison between Under-Ice and Open-Water Acoustic Channels,” Proc. of ACM International Conference on Underwater Networks and Systems, Oct 2015.

J. Backens, M. Song, and C. Xin, “A Novel Protocol for Transparent and Simultaneous Spectrum Access between the Secondary User and the Primary User in Cognitive Radio Networks,” Elsevier Computer Communications, vol. 69, pp. 98-106, Sep 2015.

P. Paul, C. Xin, M. Song, and Y. Zhao, “Spectrum Sensing for a Subdivided Band in Cognitive Radio Networks,” Proc. of ICCCN, Aug 2015.

C. Xin, and M. Song, “An Application-Oriented Spectrum Sharing Architecture,” IEEE Transactions on Wireless Communications, vol. 14, no. 5, May 2015.

D. Rawat, T. Amin, and M. Song, “The Impact of Secondary User Mobility and Primary User Activity on Spectrum Sensing in Cognitive Vehicular Networks,” Proc. of International Workshop on Smart Cities and Urban Informatics, in conjunction with IEEE INFOCOM, Apr 2015.

D. Rawat, and M. Song, “Securing Space Communication Systems against Reactive Cognitive Jammer,” Proc. of IEEE WCNC, March 2015.

M. Song, and C. Xin, “Network Radio – A New Paradigm for Improving Spectrum Efficiency,” Insights, Radio Spectrum, March 2015.

C. Xin, and M. Song, “Incentivized Spectrum Co-Access,” Insights, Radio Spectrum, Feb. 2015.

J. Backens, C. Xin, M. Song, and C. Chen, “DSCA: Dynamic Spectrum Co-Access between the Primary Users and the Secondary Users,” IEEE Transactions on Vehicular Technology, vol. 64, no. 2, Feb 2015.

J. Wall, P.B. Lowry, and J.B. Barlow, “Organizational violations of externally governed privacy and security rules: Explaining and predicting selective violations under conditions of strain and excess,” Journal of the Association for Information Systems, vol. 17, no. 1, pp. 39-76, 2016.

J. Wall, B.C. Stahl, and A.F. Salam, “Critical discourse analysis as a review methodology: An empirical example,” Communications of the Association for Information Systems, vol. 37, no. 1, pp. 257-285, 2015.

Y. Bai and X. Wang, “Teaching offensive security in a virtual environment,” Journal of Computing Sciences in Colleges ACM, New York, NY, vol. 31, no. 1, pp. 140-142, 2015.

X. Wang, Y. Bai, and L. Hu, “Certification with Multiple Signatures,” Proceedings of the 4th Annual ACM Conference on Research in Information Technology ACM, pp. 13-18, New York, NY, 2015.

X. Wang, Y. Bai, and G.C. Hembroff, “Hands-on Exercises for IT Security Education,” Proceedings of the 16th Annual Conference on Information Technology Education ACM, pp. 161-166, New York, NY, 2015.

X. Wang, Y. Bai, and L. Hu, “Domain Based Certification and Revocation,” Proceedings of the 2015 International Conference on Security and Management, pp. 272-278, Athens, GA, 2015.

X. Xu and M. Song, “Approximation Algorithms for Wireless Opportunistic Spectrum Scheduling in Cognitive Radio Networks,” in Proc. of IEEE INFOCOM, 2016.

S. He, Y. Yang, X. Xu, and X. Xu, “MGPA: A Multi-Granularity Space Preallocation Algorithm for Object-Based Storage Devices,” International Journal of Embedded Systems, to appear.

X. Xu and M. Song, “Delay Efficient Real-time Multicast Scheduling in Multi-hop Wireless Sensor Networks, in Proc. of IEEE GlobeCom, 2015.

Y. Zhao, M. N. Anjum, M. Song, X. Xu, and G. Wang, “Optimal Resource Allocation for Delay Constrained Users in Self-coexistence WRAN,” in Proc. of IEEE GlobeCom, 2015.

P. Wan and X. Xu, “Weighted Restless Multi-armed Bandit and its Applications,” in Proc. of IEEE ICDCS, 2015.

I.P. Brown, L.E. Brown, and G.Y. Sizov, “Impact of Interior Permanent Magnet Rotor Design on Signal Injection Based Sensorless Control and Power Conversion,” IEEE Transactions on Industry Applications, Accepted for Publication, 2015.

A. Kantamneni, L.E. Brown, G. Parker, and W.W. Weaver, “Survey of multi-agent systems for microgrid control,” Engineering Applications of Artificial Intelligence, vol. 45, pp. 192 – 203, 2015.

W. Kuang, L.E. Brown, and Z. Wang, “Modeling Cross-Architecture Co-Tenancy Performance Interference,” In 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, pp. 231-240, 2015.

W. Kuang, L.E. Brown, and Z. Wang, “Transfer Learning-Based Co-Run Scheduling for Heterogeneous Datacenters,” In Proceedings of National Conference on Artificial Intelligence (AAAI), pp. 4247-4248, 2015.

Mari M.W. Buche, “Micro-Firm IT Shops: Update on Unique Challenges and Opportunities”, Tenth Annual Midwest AIS Conference, Pittsburg, KS, May 2015.

C. Demars, M. Roggemann, and T.C. Havens, “Multi-spectral detection and tracking of multiple moving targets in cluttered urban environments,” Optical Engineering, vol. 54, no. 12, 2015.

D. Kumar, J.C. Bezdek, M. Palaniswami, S. Rajasegarar, C. Leckie, and T.C. Havens, “A hybrid approach to clustering in big data,” IEEE Transactions Systems, Man, and Cybernetics, Accepted for publication, 2015.

T.C. Havens, D.T. Anderson, and C. Wagner, “Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers,” IEEE Transactions Fuzzy Systems, vol. 23, no. 5, pp. 1861-1875, 2015.

J. Su and T.C. Havens, “Quadratic program-based modularity maximization for fuzzy community detection in social networks,” IEEE Transactions Fuzzy Systems, vol. 23, no. 5, pp. 1356-1371, 2015.

A.J. Pinar, B. Wijnen, G.C. Anzalone, T.C. Havens, P.G. Sanders, and J.M. Pearce, “Low-cost open-source voltage and current monitor for gas metal arc weld 3-D printing,” J. Sensors, 2015.

C. Wagner, S. Miller, J.M. Garibaldi, D.T. Anderson, and T.C. Havens, “From interval-valued data to general type-2 fuzzy sets,” IEEE Transactions Fuzzy Systems, vol. 23, no. 2, pp. 248-269, 2015.

L. Tomlin, D.T. Anderson, C. Wagner, T.C. Havens, and J.M. Keller, “Fuzzy integral for rule aggregation in fuzzy inference systems,” Int. Conf. Info. Proc. and Management of Uncertainty, Accepted, 2015.

H. Deilamsalehy, T.C. Havens, and P. Lautala, “Detection of sliding wheels and hot bearings using wayside thermal cameras,” Proc. Joint Rail Conference, Accepted, 2016.

M.A. Islam, D.T. Anderson, and T.C. Havens, “Multi-criteria based learning of the Choquet integral using goal programming,” Proc. NAFIPS, 1-6, 2015.

T. Adeyeba, D.T. Anderson, and T.C. Havens , “Insights and characterizations of l1-norm based sparsity learning of a lexicographically encoded capacity vector for the Choquet integral,” Proc. IEEE Int. Conf. Fuzzy Systems, 1-7, 2015.

A. Pinar, T.C. Havens, D.T. Anderson, and L. Hu, “Feature and decision level fusion using multiple kernel learning and fuzzy integrals,” Proc. IEEE Int. Conf. Fuzzy Systems, 1-7, 2015.

H. Deilamsalehy, T.C. Havens, and P. Lautala, “Automatic method for detecting and categorizing train car wheel and bearing defects,” Proc. Joint Rail Conference, 2015.

A. Pinar, T.C. Havens, J. Rice, M. Masarik, J. Burns, and B. Thelen, “A comparison of robust principal component analysis techniques for buried object detection in downward looking GPR and EMI sensor data,” SPIE DSS, Accepted.

J. Rice, A. Pinar, T.C. Havens, and T.J. Schulz, “Spatiotemporal features for buried hazard detection,” SPIE DSS, Accepted.

A. Webb, T.C. Havens, and T.J. Schulz, “Spectral diversity for ground clutter mitigation in forward-looking GPR,” SPIE DSS, Accepted.

M.P. Masarik, J. Burns, B.T. Thelen, J. Kelly, and T.C. Havens, “Enhanced buried UXO detection via GPR/EMI data fusion,” SPIE DSS, Accepted.

S.R. Price, B. Murray, L. Hu, D.T. Anderson, T.C. Havens, R.H. Luke, and J.M. Keller, “Multiple kernel based feature and decision level fusion of iECO features for forward looking EHD in infrared imagery,” SPIE DSS, Accepted.

J.L. Dowdy, D.T. Anderson, R.H. Luke, J.E. Ball, T.C. Havens, and J.M. Keller, “Fusion of spatial frequency domain features using GAMKLp for side-attack explosive ballistic detection in synthetic aperture acoustics,” SPIE DSS, Accepted.

S.R. Price, D.T. Anderson, and T.C. Havens, “Fusion of iECO image descriptors for buried explosive hazard detection in forward-looking infrared imagery,” Proc. SPIE, vol. 9454, May 2015.

J. Becker, T.C. Havens, A. Pinar, and T.J. Schulz, “Deep belief networks for false alarm rejection in forward-looking ground-penetrating radar,” Proc. SPIE, vol. 9454, May 2015.

M.P. Masarik, J. Burns, B.T. Thelen, and T.C. Havens, “GPR anomaly detection with robust principal component analysis,” Proc. SPIE, vol. 9454, May 2015.

A. Webb, T.C. Havens, and T.J. Schulz, “An apodization approach for processing forward-looking GPR for explosive hazard detection,” Proc. SPIE, vol. 9454, May 2015.

A. Pinar, M. Masarik, J. Kelly, T.C. Havens, J. Burns, B. Thelen, and J. Becker, “Approach to explosive hazard detection using sensor fusion and multiple kernel learning with downward-looking GPR and EMI sensor data,” Proc. SPIE, vol. 9454, May 2015.

C. Brooks, R.J. Dobson, D.M. Banach, D. Dean, T. Oommen, R.E. Wolf, T.C. Havens, T.M. Ahlborn, B. Hart, “Evaluating the use of unmanned aerial vehicles for transportation purposes,” Technical Report RC-1616, Michigan Dept. of Transportation, April 2015.

T.C. Havens, D.T. Anderson, K. Stone, J. Becker, and A.J. Pinar, “Computational Intelligence in Forward Looking Explosive Hazard Detection In R. Abielmona et al. (Eds.),” Recent Advances in Computational Intelligence in Defense and Security, pp. 13-44, Berlin: Springer, April 2015.

B.W. Ong, R.H. Haynes, K. Ladd, “Algorithm xxx: RIDC Methods – A Family of Parallel Time Integrators,” arXiv.org, 2015.

A.J. Christlieb, C.B. Macdonald, B.W. Ong, R.J. Spiteri, “Revisionist Integral Deferred Correction with Adaptive Stepsize Control,” Communications in Applied Mathematics and Computational Science, vol. 10, no. 1, pp. 1-25, 2015.

S. Kumari, W. Deng, C. Gunasekara, V. Chiang, H.S. Chen, H. Ma, X. Davis, and H. Wei, “Bottom-up GGM algorithm for constructing multilayered hierarchical gene regulatory networks that govern biological pathways or processes,” BMC Bioinformatics 2016, vol. 17, no.132, 2016.

M. Dash, Y. Yordan, S. Kumari, T. Georgieva, H. Wei and V. Busov, “A system biology approach identifies new regulators of poplar root development under low nitrogen,” Plant Journal, vol. 84, no. 2, pp. 335-346, 2015.

Journals

M. Jeon, T.M. Gable, B.K. Davison, M. Nees, J. Wilson, and B.N. Walker, “Menu navigation with in-vehicle technologies: Auditory menu cues improve dual task performance, preference, and workload,” International Journal of Human-Computer Interaction, vol. 31, no. 1, pp. 1-16, 2015.

M. Jeon, B.N. Walker, and T.M. Gable, “The effects of social interactions with in-vehicle agents on a driver’s angry level, driving performance, situation awareness, and perceived workload,” Applied Ergonomics, vol. 50, pp. 185-199, 2015.

M. Jeon, “Towards affect-integrated driving behavior research,” Theoretical Issues in Ergonomics Science, vol. 16, no. 6, pp. 553-585, 2015.

Jeon, M., “Auditory user interface design: practical evaluation methods and case studies,” The International Journal of Design in Society, vol. 8, no. 2, pp. 1-16, 2015.

Conference Proceedings

M. Jeon, M. Jafari, and L. Gauchia, “Behavior change for optimal battery performance and aging of electric vehicles,” Proceedings of the Workshop on “Where are we bound for, Persuasion in Transport Applications” at the 11th International Conference on Persuasive Technology, Salzburg, Austria, April 2016.

A. Riener, M. Jeon, P. Frolich, and A. Meschtscherjakov, “Persuasion in Transport Applications,” Adjunct Proceedings of the 11th International Conference on Persuasive Technology, Salzburg, Austria, April 2016.

M. Jeon, S.M. FakhrHosseini, J. Barnes, Z. Duford, R. Zhang, J. Ryan, and E. Vasey, “Making live theatre with multiple robots as actors: Bringing robots to rural schools to promote STEAM education for underserved students,” Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI2016), New Zealand, March 2016.

H.J. Kim, J.W. Lee, A. Rennie, R. Beville, C.H. Park, M. Jeon, and A. Howard, “Interactive robotic framework for multi-sensory therapy for children with Autism Spectrum Disorder,” Proceedings of the 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI2016), New Zealand, March 2016.

R. Beville, C.H. Park, M. Jeon, and A. Howard, “Multisensory robotic therapy to promote natural emotional interaction for children with ASD,” Abstract and Video in Videos Track of the 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI2016), New Zealand, March 2016.

S. Landry, M. Jeon, P. Lautala, and D. Nelson, “Getting active with passive crossings: Investigating the use of in-vehicle auditory alerts for highway-rail grade crossings,” Proceedings of the 2016 IEEE/ASME Joint Rail Conference (JRC2016), Columbia, SC, April 2016.

M. Jeon, “UX challenges and opportunities of autonomous vehicles regarding driving styles and automation levels,” Adjunct Proceedings of the 3rd Workshop on User Experience of Autonomous Driving at the 7th ACM International Conference on Automotive User Interfaces and Vehicular Applications (AutomotiveUI’15), Nottingham, UK, September 2015.

S.M. FakhrHosseini, M. Jeon, and R. Bose, “Estimation of drivers’ emotional states based on neuroergonmic equipment: An exploratory study using fNIRS,” Proceedings of the 7th ACM International Conference on Automotive User Interfaces and Vehicular Applications (AutomotiveUI’15), Nottingham, UK, September 2015.

M. Jeon, P. Bazilinksyy, J. Hammerschmidt, T. Hermann, S. Landry, K.A. Wolf, et al., “Report on the in-vehicle auditory interactions workshop: Taxonomy, challenges, and approaches,” Adjunct Proceedings of the Workshop on Practical Experiences in Measuring and Modeling Drivers and Driver-Vehicle Interactions at the 7th ACM International Conference on Automotive User Interfaces and Vehicular Applications (AutomotiveUI’15), Nottingham, UK, September 2015.

A. Meschtscherjakov, M. Tscheligi, D. Szostak, R. Ratan, R. McCall, I. Politis, S. Krome, A. Riener, M. Jeon, and J. Terken, “The 3rd workshop on user experience of autonomous driving,” Proceedings of the 7th ACM International Conference on Automotive User Interfaces and Vehicular Applications (AutomotiveUI’15), Nottingham, UK, September 2015.

A. Riener, I. Alvarez, M. Jeon, L. Chuang, W. Ju, B. Pfleging, and Chiesa, M., “Workshop on practical experiences in measuring and modeling drivers and driver-vehicle interactions,” Proceedings of the 7th ACM International Conference on Automotive User Interfaces and Vehicular Applications (AutomotiveUI’15), Nottingham, UK, September 2015.

C.H. Park, M. Jeon, and A. Howard, “Robotic framework with multi-modal perception for physio-musical interactive therapy for children with autism,” Proceedings of the Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Providence, USA, August 2015.

M. Jeon et al., “Proceedings of the “in-vehicle auditory interactions” workshop,” The 21st International Conference on Auditory Display (ICAD2015), Graz, Austria, July 2015.

S.M. FakhrHosseini, P. Kirby, and M. Jeon, “Regulating drivers’ aggressiveness by sonifying emotional data,” Proceedings of the 21st International Conference on Auditory Display (ICAD2015), Graz, Austria, July 2015.

S. Landry, J. Croschere, and M. Jeon, “Subjective assessment of in-vehicle auditory warnings for rail grade crossings,” Proceedings of the 21st International Conference on Auditory Display (ICAD2015), Graz, Austria, July 2015.

M. Jeon, “Exploration of semiotics of new auditory displays: A comparative analysis with visual displays,” Proceedings of the 21st International Conference on Auditory Display (ICAD2015), Graz, Austria, July 2015.

M. Jeon, J.H. Lee, J. Sterkenburg, and C. Plummer, “Cultural differences in preference of auditory emoticons: USA and South Korea,” Proceedings of the 21st International Conference on Auditory Display (ICAD2015), Graz, Austria, July 2015.

J. Xu, E. Montague, J. Gratch, P. Hancock, M. Jeon, and M.S. Pfaff, “Advances of Research in Affective Processes in Communication and Collaboration. Invited Discussion Panel,” Proceedings of the Human Factors and Ergonomics Society International Annual Meeting (HFES2015), Los Angeles, CA, October 2015.

T.M. Gable, B.N. Walker, C.L. Baldwin, M. Jeon, A.L. Kun, and B. Mehler, “Collection and analysis of physiological measures in driving research. Invited Discussion Panel,” Proceedings of the Human Factors and Ergonomics Society International Annual Meeting (HFES2015), Los Angeles, CA, October 2015.

M. Jeon, “What to teach in HCI?: How to educate HCI students to envision the future of human beings, not the future of technology,” Proceedings of the Human Factors and Ergonomics Society International Annual Meeting (HFES2015), Los Angeles, CA, October 2015.

M. Jeon, “Lessons from emotional driving research,” Proceedings of the 19th Triennnial Congress of the International Ergonomics Association, Melbourne, Australia, August 2015.

H. Khalid, M. Helander, P. Hancock, M. Jeon, R. Seva, and R. Brudere, “Affective design and EQUID: Emotional and ergonomic quality in product design and development,” Proceedings of the 19th Triennnial Congress of the International Ergonomics Association, Melbourne, Australia, August 2015.

H.J. Kim, T. Azad, C.H. Park, M. Jeon, and A.M. Howard, “Towards physio-musical interactive robotic therapy for children with autism,” Proceedings of the Workshop on Rehabilitation Robotics and Human-Robot Interaction, 2015 IEEE International Conference on Robotics and Automation (ICRA 2015), Seattle, WA, May 2015.

M. Jeon, “Embarrassment as a divergent thinking process for creative arts in the immersive virtual environment,” Proceedings of the workshop on “Embarrassing Interactions”,  ACM SIGCHI Conference on Human Factors in Computing Systems (CHI’15), Seoul, Korea, April 2015.

M. Jeon, “Auditory user interface design: Practical evaluation methods and design process case studies,” Proceedings of the 9th International Conference on Design Principles and Practices, Chicago, IL, March 2015.

R. Zhang, M. Jeon, C.H. Park, and M.H. Ayanna, “Robotic sonification for promoting emotional and social interactions of children with ASD,” Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI2015), Portland, USA, March 2015.

C.H. Park, N. Pai, J. Bakthavatchalam, Y. Li, M. Jeon and M.H. Ayanna, “Robotic framework for music-based emotional and social engagement with children with autism,” Proceedings of Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environment, the 29th AAAI Conference on Artificial Intelligence (AAAI-15), Austin, TX, 2015.

S.M. Fakhrhosseini, M. Jeon, P. Lautala, and D. Nelson, “An investigation on driver behaviors and eye-movement patterns at grade crossings,” Proceedings of the IEEE/ASME Joint Rail Conference (JRC2015), San Jose, CA, March 2015.

Book Chapters

A. Riener, M. Jeon, and A. Ferscha, “Human-car confluence: “Socially-inspired driving mechanisms,” In A. Gaggioli, A. Ferscha, G. Riva, S. Dunne, and I. Viaud-Delmon (Eds.), Human-Computer Confluence: Advancing our Understanding of the Emerging Symbiotic Relation between Humans and Computing Devices, Versita, In press.

M. Jeon, S. Landry, D.J. Ryan, and J.W. Walker, “Technologies expand aesthetic dimensions: Visualization and sonification of embodied penwald drawings,” In A. L. Brooks, E. Ayiter, and O. Yazicigil (Eds.), Arts and Technology. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), vol. 145, pp. 69-76, Springer International Publishing, 2015.

M. Jeon and J. Croschere, “Sorry, I’m late; I’m not in the mood: Negative emotions lengthen driving time,” In D. Harris (Ed.), EPCE 2015, LNAI 9174, pp. 1-8, Springer International Publishing Switzerland, 2015.

Y. Sun and M. Jeon, “Lyricons (Lyrics + Earcons) improve identification performance of auditory cues,” In A. Marcus (Ed.), Design, user experience and usability (DUXU): Users and interactions, Part II HCII 2015, LNCS 9187, pp. 382-389,  Springer International Publishing, Switzerland, 2015.

M. Jeon, R. Zhang, W. Lehman, S.M. Fakhrhosseini, J. Barnes, and C.H. Park, “Development and evaluation of emotional robots for children with autism spectrum disorders,” HCI International 2015 – Posters’ Extended Abstracts. Communications in Computer and Information Science, vol. 528, pp. 372-376, 2015.

J. Walker, M.T. Smith, and M. Jeon, “Interactive sonification markup language (ISML) for efficient motion-sound mappings,” In M. Kurosu (Ed.), Human-Computer Interaction: Interaction Technologies, Part II, HCII 2015, LNCS 9170, pp. 1-10, Springer International Publishing Switzerland, 2015.

Conference Papers

B. Li, R. Zhang, A. Nordman, and S. Kuhl, “The effects of minification and display field of view on distance judgments in real and HMD-based environments,” Proc. ACM Symposium on Applied Perception, pp. 55—58, 2015.

R. Zhang, J. Walker, and S. Kuhl, “The effects of minification and display field of view on distance judgments in real and HMD-based environments,” Proc. ACM Symposium on Applied Perception, Poster, 2015.

A. Sergeyev, N. Alaraje, S. Kuhl, M. Meyer, M. Kinney, and M. Highum, “Innovative Curriculum Model Development in Robotics Education to Meet 21st Century Workforce Needs,” ASEE Zone III Meeting, 2015.

B. Li, R. Zhang, A. Nordman, S. Kuhl, “The effects of minification and display field of view on distance judgments in real and HMD-based environments,” Proc. ACM Symposium on Applied Perception, pp 55–58, 2015.

B.J. Piper, S.T. Mueller, A.R. Geerken, K.L. Dixon, G. Kroliczak, J.K. Miller, “Reliability and validity of neurobehavioral function on the Psychology Experimental Building Language test battery in young-adults,” PeerJ, 2016.

S.T. Mueller, B.S. Perelman, Y. Tan, and K. Thanasuan, K., “Development of the PEBL Traveling Salesman Problem Task: A Normative Data set and Brief Assessment Inventory,” Journal of Problem Solving, vol. 8, issue 8, article 4, 2015.

S.T. Mueller, “Experiential Learning in the Experimental Method: Examining Hick’s Law. Teaching Neuroscience: Practical Activities for an Engaged Classroom,” Society for Teaching in Psychology (Division 2 of APA), 2015.

J. Rojas, Y. González-Giraldo, S.T. Mueller, B. Piper, A. Adan, and D.A. Forero, “Differences in planning performance, a neurocognitive endophenotype, are associated with a functional variant in PER3 gene,” Chronobiology International, vol. 32, issue 5, pp. 591-595, May 2015.

Y. González-Giraldo, J. Rojas, S.T. Mueller, B. Piper, A. Adan, and D.A. Forero, “BDNF Val66Met is associated with performance in a computerized visual-motor tracking test in healthy adults,” Motor Control, vol. 20, issue 1, 2015.

S.T. Mueller, B.S. Perelman, and E.S. Veinott, “An optimization approach for mapping and measuring the divergence and correspondence between paths,” Behavior Research Methods, 2015.

K. Vertanen, “Counting Fingers: Eyes-Free Text Entry without Touch Location,” In Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI 2016, workshop), San Jose, CA, 2016.

J. Walker, S. Kuhl, and K. Vertanen, “Decoder-Assisted Typing using an HMD and a Physical Keyboard,” In Extended Abstracts of the ACM Conference on Human Factors in Computing Systems (CHI 2016, workshop), San Jose, CA, 2016.

K. Vertanen, H. Memmi, J. Emge, S. Reyal, and P. Kristensson, “VelociTap: Investigating Fast Mobile Text Entry using Sentence-based Decoding of Touchscreen Keyboard Input,” in Proc. CHI ’15, ACM Conference on Human Factors in Computing Systems, Seoul, Korea, April 2015.

H.M. Pereira, V.C. Spears, B. Schlinder-Delap, T. Yoon, A. Harkins, K.A. Nielson, M. Hoeger Bement , S.K. Hunter, “Sex Differences in Arm Muscle Fatigability With Cognitive Demand in Older Adults,” Clinical Orthopaedics and Related Research, 2015.

H.M. Pereira, V.C. Spears, B. Schlinder-Delap, T. Yoon, K.A. Nielson, S.K. Hunter, “Age and sex differences in steadiness of elbow flexor muscles with imposed cognitive demand,” European Journal of Applied Physiology, vol. 115, issue 6, pp.1367-1379, 2015.

T. Yoon, R. Doyel, C. Widule, S.K. Hunter, “Sex differences with aging in the fatigability of dynamic contractions,” Experimental Gerontology, vol. 70, pp. 1-10., 2015.

C.A. Lee, J. Baxtor, C. Eischer, M. Gage, S.K. Hunter, T. Yoon, “Muscle fatigability from repeated lengthening contractions in young men and women,” Society of Neuroscience Annual Meeting, Chicago, IL, 2015.

J. Senefeld, H.M. Pereira, T. Yoon, S.K. Hunter, “Mechanisms of Knee Extensor Muscle Fatigability in Men and Women after Isometric and Dynamic Contractions,” Society of Neuroscience Annual Meeting, Chicago, IL, 2015.

A. Klinkhamer, A. Ebnenasir, “Shadow/Puppet Synthesis: A Stepwise Method for the Design of Self-Stabilization,” IEEE Transactions on Parallel and Distributed Systems, 2016.

R. Hajisheykhi, A. Ebnenasir, S.S. Kulkarni, “A Framework for Verification of SystemC TLM Programs with Model Slicing,” Design Automation Conference (DAC), 2016.

A. Klinkhamer, and A. Ebnenasir, “On the Hardness of Adding Nonmasking Fault Tolerance,” IEEE Transactions on Dependable and Secure Computing, vol. 12, no. 3, pp. 338-350, 2015.

R. Hajisheykhi, A. Ebnenasir, S.S. Kulkarni, “A Theory of Integrating Tamper Evidence with Stabilization,” International Conference on Fundamentals of Software Engineering (FSEN), pp. 84-99, 2015.

A. Ebnenasir, “Incremental Realization of Safety Requirements: Non-determinism vs. Modularity,” International Conference on Fundamentals of Software Engineering (FSEN), pp. 159-175, 2015.

A. Ebnenasir and J. Mayo, “Fault-Tolerant Parallel and Distributed Computing for Software Engineering Undergraduates,” IEEE IPDPS EduPar Workshop, pp. 788-794, 2015.

R. Hajisheykhi, A. Ebnenasir, S.S. Kulkarni, “UFIT: A Tool for Modeling Faults in UPPAAL Timed Automata,” NASA Formal Methods, pp. 429-435, 2015.

X. Zhao, L. Han, and Z. Feng, “A Performance-Guided Graph Sparsification Approach to Scalable and Robust SPICE-Accurate Integrated Circuit Simulations,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 34, no. 10, pp. 1639-1651, 2015.

L. Han, X. Zhao, and Z. Feng, “An Adaptive Graph Sparsification Approach to Scalable Harmonic Balance Analysis of Strongly Nonlinear Post-layout RF Circuits,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 34, no. 2, pp. 173-185, 2015.

Z. Feng, “Spectral Graph Sparsification in Nearly-Linear Time Leveraging Efficient Spectral Perturbation Analysis,” in Proceedings of ACM/IEEE Design Automation Conference (DAC), 2016.

L. Han and Z. Feng, “Transient-simulation guided graph sparsification approach to scalable harmonic balance (HB) analysis of post-layout RF circuits leveraging heterogeneous CPU-GPU computing systems,” in Proceedings of ACM/IEEE Design Automation Conference (DAC), 2015.

J. Ma, J. Tao, M. Keranen, J. Mayo, C. Shene, and C. Wang, “AESvisual: A Visualization Tool for the AES Cipher,” Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, Arequipa, Peru, 2016 (to appear).

P. Bonamy, S. Carr, and J. Mayo, “Toward a Mandatory Integrity Protection System,” Proceedings of the 31st International Conference on Computers and Their Applications, Las Vegas, NV, 2016 (to appear).

L. Ji, J. Mayo, and C. Shene, “Applying Advanced Econometric and Marketing Techniques to Analyze Various Issues in Computer Science Education,” ICER ’15: International Computing Education Research Conference, Omaha, NE, 2015.

C. Li, J. Ma, J. Tao, M. Keranen, J. Mayo, C. Shene, and C. Wang, “VIGvisual: A Visualization Tool for the Vigenère Cipher,” Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, Vilnius, Lithuania, pp. 129-134, 2015 .

M. Wang, J. Mayo, C. Shene, T. Lake, S. Carr, and C. Wang, “RBACvisual: A Visualization Tool for Teaching Access Control Using Role-Based Access Control,” Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, Vilnius, Lithuania,  pp. 141-146, 2015.

A. Ebnenasir and J. Mayo, “Fault-Tolerant Parallel and Distributed Computing for Software Engineering Undergraduates,” IEEE IPDPS EduPar Workshop, pp. 788-794, 2015.

J. Ma, J. Tao, M. Keranen, J. Mayo, C. Shene, and C. Wang, “SHAvisual: A Visualization Tool for Secure Hash Algorithm,” Proceedings of American Society for Engineering Education Annual Conference, Seattle, Washington, 2015.

S. Hajmohammadi, S. Nooshabadi, Glen E. Archer, J. P. Bos and A. Struther “Parallel Hybrid Bispectrum-Multiframe Blind Deconvolution Image Reconstruction Technique”, Journal of Real-Time Image Processing, Accepted for publication March 2016

C. Jiang, and S. Nooshabadi, “Parallel multiview video coding exploiting group of pictures level parallelism”, IEEE Transactions on Parallel and Distributed Systems, Accepted for publication, September 2015.

C. Jiang, and S. Nooshabadi, “A Scalable massively parallel motion and disparity estimation scheme for multiview video coding”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 2, pp. 346 – 359, February 2016.

S. Hajmohammadi, S. Nooshabadi and J. P. Bos, “Massive parallel processing of image reconstruction from Bispectrum through turbulence”, Applied Optics, vol. 54, no. 32, pp. 9370 – 9378, November 2015.

L. Hu, and S. Nooshabadi, “GPU Accelerated 3D local descriptor for surface matching”, Journal of Visual Communication and Image Representation” vol. 30, pp. 343 – 349, July 2015.

L Hu and S. Nooshabadi, “Parallel Randomized KD-tree Forest on GPU Cluster for Image Descriptor Matching”, IEEE International Symposium Circuits and Systems (ISCAS2016), May 2016, Montreal, Canada. (To appear)

C. Jiang, and S. Nooshabadi, “Opportunities for High-Level Parallelism in Multiview Video Coding”, IEEE International on Data Compression Conference, Snowbird, Utah March 2016.

C. Jiang, and S. Nooshabadi, “Massively Efficient Motion Estimation by Exploiting Inter-Pixel Similarities”, IEEE International on Data Compression Conference, Snowbird, Utah March 2016. (To appear)

C. Jiang, and S. Nooshabadi, “Decision Zone-Based Parallel Fast Motion and Disparity Estimation Scheme for Multiview Coding”, IEEE International on Data Compression Conference, Snowbird, Utah March 2016. (To appear)

L. Hu and S. Nooshabadi, “Massively parallel KD-tree construction and nearest neighbor search algorithms”, IEEE International Symposium Circuits and Systems (ISCAS2015), May 2015, Lisbon, Portugal.

J. C. Garcıa, J. A. Montiel–Nelson, J. Sosa and S. Nooshabadi, “High Performance CMOS 2-Input NAND Based on Low-Race Split-Level Charge-Recycling Pass-Transistor Logic”, IEEE Design Automation, Test in Europe, March 2015, Grenoble, France.

L. Hu and S. Nooshabadi, “A 3D local descriptor SHOT on massively parallel processors”, International Conference on Consumer Electronics (ICCE2015), January 2015, Lasvegas, USA.

G. Aşılıoğlu, Z. Jin, M. Köksal, O. Javeri, and S. Önder, “LaZy superscalar,” In Proceedings of the 42nd Annual International Symposium on Computer Architecture (ISCA), ACM, New York, NY, pp. 260-271. 2015.

Z. Jin, G. Aşilioğlu, and S. Önder, “Mower: A New Design for Non-blocking Misprediction Recovery,” In Proceedings of the 29th ACM on International Conference on Supercomputing (ICS ), ACM, New York, NY, USA, pp. 285-294, 2015.

Z. Wang, X. Wang, F. Hou, Y. Luo, and Z. Wang, “Dynamic Memory Balancing for Virtualization,” ACM Transactions on Architecture and Code Optimization (TACO), To appear, 2016.

X. Hu, X. Wang, Y. Li, L. Zhou, Y. Luo, C. Ding, S. Jiang, and Z. Wang, “LAMA: Optimized Locality-aware Memory Allocation for Key-value Cache,” Proceedings of the 2015 USENIX Annual Technical Conference (ATC), Santa Clara, CA, 2015.

W. Kuang, L.E. Brown, and Z. Wang, “Modeling Cross-Architecture Co-Tenancy Performance Interference,” Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Shenzhen, China, 2015.

X. Wang, Y. Li, Y. Luo, X. Hu, J. Brock, C. Ding, and Z. Wang, “Optimal Footprint Symbiosis in Shared Cache,” Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), Shenzhen, China, 2015.

W. Kuang, L.E. Brown, and Z. Wang, “Transfer Learning-based Co-run Scheduling for Heterogeneous Datacenters,” Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), PhD Consortium, Austin, Texas, 2015.