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
Chair, Professor, Department of Bioengineering
Research Interests: Biomaterials, Tissue Engineering, Nanomaterials, Surface Modification, Orthopedic and Cardiovascular applications.
Associate Professor / Tenured
Research Interests: The intersection of computing and social sciences to understand and model online human behavior to address social problems.
Associate Dean for Research in the CEC; Professor, Department of Systems Engineering and Operations Research
At Mason, Art Pyster is a professor of systems engineering, but his primary role is associate dean for research in the College of Engineering and Computing (CEC)
Associate Professor, Department of Statistics
Research Interests: Nonparametric statistics, geometric data analysis, machine learning, extreme value theory
Professor, Computer Science; Affiliate Faculty, Bioengineering
Research Interests: Bioinformatics, Data Analytics, Data Mining, Personalized Learning, Computer Science Education, Machine Learning, Parallel and Distributed Systems
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, Department of Computer Science
Research Interests: Software Engineering, Agile in Federal Government, Disciplined Agile
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: Functional data analysis, computational statistics, Gaussian process modeling, models for compositional data analysis.