Emeritus Faculty
Personal Website: https://webpages.charlotte.edu/cma/ Degree Institution: Carnegie Mellon University Degree: Ph.D. Read More
Personal Website: http://webpages.charlotte.edu/chen/ Degree Institution: Duke University Degree: Ph.D. Year Graduated: 1976 Research Areas: AI, Algorithm Analysis and Design, Algorithms and Complexity, Computer and Parallel Architecture, Heuristic Search, Intelligent Systems
Personal Website: https://complexity.charlotte.edu/wp-content/uploads/sites/243/2016/08/Hadzikadic-CV-2024.pdf Degree Institution: Southern Methodist University Degree: Ph.D. Year Graduated: 1987 Research Description: Complex Adaptive Systems/Simulation and Modeling, Health Informatics/Population Health, Data Mining/Analytics, Cognitive Science/Brain Informatics/Neuroeconomics
Degree Institution: Texas A&M University Degree: Ph.D. Rick Lejk was originally an engineer by education, having graduated from Georgia Tech with his bachelor’s in industrial engineering in 1955. He then joined the Air Force, where he completed a master’s degree in computer science at the University of Michigan in 1960, and then a Ph.D. in […]
Personal Website: http://maryloumaher.net Degree Institution: Carnegie Mellon University (1984) Degree: Ph.D. Research Description: Mary Lou’s research interests span a broad area of design and computing, specifically the study and development of novel interaction and communications technology, and models of design and creativity. Her research draws on and contributes to human-computer interaction, intelligent systems, computer-supported collaborative […]
Degree Institution: University of Virginia Degree: Ph.D. Year Graduated: 1973 Publications: Maher, M., Cukic, B., Mays, L., Rogelberg, S., Latulipe, C., Payton, J., Rorrer, A., & Frevert, T. (2016). The Connected Learner: Engaging Faculty to Connect Computing Students to Peers, Profession and Purpose. In Frontiers in Engineering Education (FIE), 2016 IEEE (pp. 1-8). IEEE. Maher, […]
Personal Website: http://webpages.charlotte.edu/taghi/ Degree Institution: Oklahoma State University Degree: Ph.D. Year Graduated: 1986 Research Areas:
Personal Website: https://webpages.charlotte.edu/revesz/ Degree Institution: Eotvos Lorand University, Hungary Degree: Ph.D.
Research Areas: Robust Control, Systems, Stability, Machine Learning, Theory and Applications
Personal Website: http://webpages.charlotte.edu/abw/ Degree Institution: University of Manchester, England Degree: Ph.D.
Wlodek Zadrozny joined the faculty of the University of North Carolina at Charlotte in 2013, after a 27 year career at the IBM T.J. Watson Research Center. Dr. Zadrozny’s research focuses on natural language understanding and its applications. His recent work spans from applications of concept embeddings and topological data analysis to text analysis of […]