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
Divisional Dean for the Volgenau School of Engineering; Professor, Systems Engineering and Operations Research
Ariela Sofer is the Divisional Dean for the Volgenau School of Engineering and a professor in the Systems Engineering and Operations Research department.
Associate Professor, Department of Systems Engineering and Operations Research; CEIE Affiliate Faculty
Research Interests: Bayesian statistics, machine learning, deep learning, complex systems and simulation, numerical optimization, intelligent transportation systems
Associate Professor (Teaching) and Associate Chair, Department of Computer Science
Research Interests: Agile transformation, software metrics, software quality assessment and prediction, user experience research, requirements engineering, educational technology, computer science education, and software architecture
Professor, Department of Electrical and Computer Engineering
Research Interests: Computer architecture, CMOS VLSI ASIC design, FPGA-based system design, and GPU architecture and programming
Professor and Chair, Department of Electrical and Computer Engineering
Research Interests: Network and storage systems security and privacy; wireless communication and networking; software-defined networking; network coding, secure and private computation, and private information retrieval
Assistant Professor, Department of Computer Science
Research Interests: Reasoning and navigation under uncertainty and unknown environments, perception and learning
Associate Professor, Department of Statistics
Research Interests: Statistics education, online education
Professor, Department of Statistics
Research Interests: Orthogonal arrays, crossover designs, optimal design of experiments, and subdata selection methods.
Assistant Professor / Teaching
Research Interests: Artificial Intelligence and Machine Learning, Data Science, Health Informatics, Image Analysis, Medical Image Processing Teaching
Professor, Bernard Dunn Eminent Scholar, and Chair; Department of Statistics
Research Interests: Data science, statistics for big or high-dimensional data, simultaneous inference, multiple comparisons, selection bias, measurement errors, mixtures, causal inference, semi and nonparametric analysis, machine learning, biostatistics, random fields, crowdsourcing, EHR and Text analysis, the interface of statistics and computer science, and other interdisciplinary work.