Computational Science and Engineering—PhD

Focus Areas

Faculty Interests


Theoretical atomic physics; Electrophysics
Atmospheric optics; Statistical optics; Quantum optics; Image and Signal Processing; Autonomous vehicles and vehicular networks; Industrial automation and controls
Artificial Intelligence and Machine Learning; Data Mining and Data Science; Applications of AI and ML to Energy (microgrids, power systems), Health, and other domains
Advanced script programming; Advanced Unix administration; Advanced Windows administration; Directory services/green computing; Web server administration; Senior design
Modeling and control of hybrid electric vehicles; EV-smart grid integration; Distributed monitoring and control; Battery control for HEV and energy storage systems; IC engine management systems; Sensor information fusion
Software Engineering; Automated Analysis of Fault-Tolerance; Formal Methods
Pattern Recognition and Machine Learning; Signal and Image Processing; Sensor and Data Fusion; Heterogeneous Data Mining; Explosive Hazard Detection
Cybersecurity; Medical/Health Informatics; Data Science; Network Engineering
Biomechanics; Automated control of ultrasound scanning including the use of 3D printing technology; Image and signal processing; Non-invasive assessment of biomechanical properties of soft tissues; Computer aided analyses of cardiovascular flow
Interfacial and Multiphase Flows; Fluid-Structure Interaction; Mechanics of Soft Matter; Biological and Bio-Inspired Fluid Mechanics; Flow Through Porous Media; Micro and Nano Fluidics
Planning and decision making in infrastructure system management; Develop models and implements simulations that can aid decision makers assess design alternatives and explore what-if scenarios
Gamma-ray bursts; Gravitational lensing; Smartphones as science sensors; Cosmology; Gravitation; Relativistic Illumination Fronts
VLSI information and multimedia processing; SoC design; Complex embedded electronic systems; Very Large Scale Intergradations (VLSI); Digital architectures; Computer engineering
Computational Mechanics; Computational Materials Science; Computational Chemistry
Computer Architecture; Programming Languages; Simulation
Scientific computing; Numerical PDEs; Parallel Computing; Randomized Numerical Linear Algebra; Dimension Reduction
Liquefaction susceptibility evaluation at local and regional scales using in-situ measurements and remote sensing observations; Estimating liquefaction induced damage such as lateral spread displacement; Transportation Geotechniques; Documenting earthquake induced damages, especially liquefaction using aerial/satellite images that are sensitive to surficial moisture; Geotechnical asset monitoring; Machine Learning
Modeling Molecular Electronics Devices
Image Processing; Autonomous vehicles; Mobile robots;  Mechatronics; Applied artificial intelligence
Social simulation; Agent-based modeling; Land-use modeling; Norm evolution; Survey design; International relations
Optics; Electrical machinery; Power systems; Electronic devices and circuits; Real-time robotics systems; Programmable logic controllers
Statistical Genetics; Applied Statistics
Algorithms that can be parallelized on GPUs; Applications of differential equations to science and engineering
Computational fluid dynamics, especially the modeling of sprays and multiphase flows
Seismic source mechanisms of tectonic and volcanic earthquakes; Mantle and crustal-scale seismic tomography; The relationship of seismic anisotropy to fluids and strain; Active-source investigations of magmatic systems; Triggering of earthquakes by magmatic and hydrous fluid migration; Relationship between shallow syneruptive volcanic earthquakes and degassing
Digital technology adoption for older adults and other digital newcomers; K-12 computing education; Undergraduate software engineering and computer science education; Communication in software development; Lightweight formal methods; Agile software development
Optimizing Compilers; High Performance Architectures; Cloud Computing
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
Design, construction, and maintenance of pavements; Micromechanics for road materials; Discrete element modeling and finite element modeling techniques; Construction materials: asphalt, aggregate, asphalt concrete; Alternative materials for civil engineering; Recycled materials for civil engineering
Image Processing and Computer Vision; Machine Learning; Medical Image Analysis; Health Informatics; Text Mining 

Participating Units

Biomedical Engineering
College of Engineering
  Graduate Student Directory
Civil, Environmental, and Geospatial Engineering
College of Engineering
Current Projects  
College of Computing    
Computer Science
College of Sciences and Arts
Current Projects Graduate Student Directory
Electrical and Computer Engineering
College of Engineering
Current Projects  
Geological and Mining Engineering and Sciences
College of Engineering
Current Projects  
Mathematical Sciences
College of Sciences and Arts
  Graduate Student Directory
Mechanical Engineering-Engineering Mechanics
College of Engineering
Current Projects  
College of Sciences and Arts
Current Projects Graduate Student Directory
School of Forest Resources & Environmental Science Current Projects Graduate Student Directory
Social Sciences
College of Sciences and Arts
Current Projects Graduate Student Directory