The Joint Center of Biocomputing and Digital Health (BDH) is a collaborative research
institute established in Spring 2021 by the Institute of Computing and Cybersystems
(ICC) and the Health Research Institute (HRI). The research institute was co-founded
by HRI member Jingfeng Jiang (BME) and Jinshan Tang.
The mission of Joint Center of Biocomputing and Digital Health (BDH) is to conduct
research, develop innovative solutions, and provide educational opportunities in the
areas of biocomputing and digital health, enhancing Michigan Tech’s ability to recruit
and retain high-quality researchers and students, elevating Michigan Tech’s presence
in developing technologies for healthcare delivery, and increasing knowledge sharing
in the global community.
Director
- Professor, Biomedical Engineering
- Graduate Program Director, Biomedical Engineering
- jjiang1@mtu.edu
- 906-487-1943
- M&M 303
Research Interests
- Biomechanics (Bio-solids and Biofluids)
- Medical Image/Signal Processing
- Machine Learning and Computer Vision with Applications in Medical Imaging
- Developments of Ultrasound Technologies for Tissue Characterization
Members
- Assistant Professor, Mechanical Engineering-Engineering Mechanics
- Faculty member of Center for Data Sciences at the Institute of Computing and Cybersystems (ICC)
- Faculty member of the Center for Applied Mathematics and Statistics
- susantag@mtu.edu
- 906-487-2689
- MEEM 829
Postdoctoral Research Experience
- Duke University, Durham
- University of Michigan, Ann Arbor
- Technical University of Catalunya, Barcelona
Research Expertise
- Bayesian Machine Learning and Uncertainty Quantification
- Scientific Machine Learning
- Computational Solid Mechanics
- Materials Modeling
- Biomedical Imaging and Inverse Problems
- Director of Research Computing, Information Technology
- Adjunct Assistant Professor, Physics
- Research Associate Professor, Electrical and Computer Engineering NSF XSEDE Campus Champion
Research Interests
- Parallel computing and visualization
- Design and optimization of supercomputing platform
- Design of computational work flows
- Technological tools for research and teaching
- Interaction of biological matter with nanomaterials
- Electronic structure calculations of nanoclusters
- Assistant Professor, Biomedical Engineering
- Advisor, Korean Student Association
- sjhan@mtu.edu
- 906-487-2897
- M&M 403
Research Interests
Research Interests
- Mechanobiology
- Traction force by a living cell
- Cell adhesion and migration
- Image data modeling
- Machine learning
- BioMEMS
- Assistant Professor, Biomedical Engineering
- Affiliated Assistant Professor, Mechanical Engineering-Engineering Mechanics
- hhatoum@mtu.edu
- 906-487-2852
- M&M 402
Links of Interest
Teaching Experience
- BE 4510 and 5510: Cardiovascular Engineering
- BE 3350: Introduction to Human Biomechanics
Research Areas
- Cardiovascular Biomechanics
- Cardiovascular Biofluids
- Fluid Mechanics
- Medical Devices
- Patient-Specific Modeling
- Associate Professor, Applied Computing
- Director, Health Informatics Graduate Program
- Affiliated Associate Professor, Data Science
- hembroff@mtu.edu
- 906-487-3248
- Rekhi Hall 105
Research Interests
- Human Health-focused ML/DL and Computer Vision
- Large-scale Cybersecurity architectures
- mHealth
- Biometric development
- Intelligent medical devices
Links of Interest
Teaching Interests
- Cybersecurity
- Medical/Health Informatics
- Data Science
- Network Engineering
- Associate Dean for Research, College of Computing
- Associate Professor, Computer Science
- Associate Director, ICC
- dbkc@mtu.edu
- 906-487-1657
- Rekhi Hall 305

Research Interests
- Bioinformatics
- Data Science
- Machine Learning/Deep Learning
- High-performance Computing
- Professor, Mathematical Sciences
- qsha@mtu.edu
- 906-487-2146
- Fisher 307
Areas of Expertise
- Statistical Genetics
- Applied Statistics

- Professor
- Editor-in-Chief, Forestry Research (ForRes): https://www.maxapress.com/journal/forres
- Affiliated Professor, Department of Computer Science & Department of Mathematics
- hairong@mtu.edu
- 906-487-1473
- Noblet Building 176
Links of Interest
Areas of Expertise
- Identification of genes regulating complex traits via systems biology approaches
- Gene expression data analysis
- Gene network construction and decomposition
- Developing software for mining large-scale biological data
- Genomics of wood formation
- Professor, Mathematical Sciences
- zhengfux@mtu.edu
- 906-487-3332
- Fisher 306
Link of Interest
Areas of Expertise
- Numerical PDE, Scientific computing
- Computational modeling of Nafion material
- Mathematical image processing, inverse problems, nonlinear optics
- Assistant Professor, Biomedical Engineering
- Affiliated Assistant Professor, Biological Sciences
- chunxiuy@mtu.edu
- 906-487-2353
- Dow 528
Links of Interest
Research Interests
- Neuroengineering
- Brain Stimulation (Optogenetic and Electrical)
- Neural Signal Processing
- Brain-Computer Interface
- Brain and Behavior (Parkinson's Disease, Depression, Stroke, and Addiction)
BME Research Areas
- Biosensors and Biomedical Instrumentation
- Biomedical Optics and Ultrasound
- Assistant Professor, Computer Science
- jyue@mtu.edu
- 906-487-1726
- Rekhi Hall 203
Links of Interest
Areas of Expertise
- Computer Architecture
- Operating System
- System Optimization of Big Data Process
- Dave House Endowed Professor, Mathematical Sciences
- kuiz@mtu.edu
- 906-487-2918
- Fisher 211
Links of Interest
Areas of Expertise
- Statistical Genetics and Genomics
- Bioinformatics
- Biostatistics
- Applied Statistics
- Assistant Professor, Computer Science
- wenbinzh@mtu.edu
- 906-487-1087
- Rekhi 310
Areas of Expertise
- Ethical Artificial Intelligence
- Health Care
- Data Mining
- Interdisciplinary
- Assistant Professor, Health Informatics, Applied Computing
- Affiliated Assistant Professor, Biomedical Engineering
- Affiliated Assistant Professor, Mathematical Sciences
- whzhou@mtu.edu
- 906-487-2666
- Rekhi Hall 109
Teaching Interests
- Medical Informatics
- Medical Image Analysis
Areas of Expertise
- Image Processing and Computer Vision
- Machine Learning
- Medical Image Analysis
- Health Informatics
- Text Mining