Get to know our faculty and their areas of expertise
The College of Engineering and Computing features 200+ faculty members across 10 departments with areas of expertise in engineering and technology, research, design, and teaching. Select the tabs below to learn more about our expert faculty.
Full Faculty Directory
Professor of Practice, Department of Computer Science; Associate Chair for Graduate Studies
Research Interests: Software engineering, software design, real-time embedded software, mission-critical software, spaceflight software
Chair, Professor, Department of Bioengineering
Research Interests: Biomaterials, Tissue Engineering, Nanomaterials, Surface Modification, Orthopedic and Cardiovascular applications
Associate Professor / Tenured
Research Interests: Artificial Intelligence and Machine Learning, Human-Centered Computing, Smart Communities
Associate Professor, Department of Statistics
Research Interests: Nonparametric statistics, geometric data analysis, machine learning, extreme value theory
Assistant Professor, Department of Systems Engineering and Operations Research
Research Interests: Defense and aerospace systems, system of systems/ multi-robots, information fusion, test, evaluation, and explainable AI
Associate Professor (Teaching), Department of Computer Science
Research Interests: Software engineering, Agile in federal government, disciplined Agile
Associate Professor, Department of Mechanical Engineering
Research Interests: Microfluids, Lab-on-a-Chip, Point of Need Detection, Sensors, Multiphase Microfluidics
Associate Professor / Teaching
Research Interests: AI and ML, Data Science, Cybersecurity, Education Technology, Health Informatics, Human-Centered Computing, Smart Communities
Associate Professor, Department of Computer Science
Research Interests: Parallel and Distributed Systems
Assistant Professor, Department of Statistics
Research Interests: Experimental design, optimal subsampling, functional data analysis, computational statistics, Gaussian process modeling, models for compositional data analysis