Our researchers are not merely reacting to the cyber age, we are catalyzing it. Machine learning, cybersecurity, high performance computing, intelligent memory systems, avalanche photodiodes, ultra-low-power chips: These are just some of the technologies essential to such next-generation projects as the Internet of Things and 100 Gbps Ethernet, and they are just some of the areas in which UVA Engineering holds world-class expertise.
Professor, Academic General Faculty, Teaching Track, Director of Undergraduate Mechanical Engineering
My research interests include pedagogical research focused on student reasoning, technical communication, and hands-on troubleshooting in a lab setting; systems engineering and the design process; reliability assessment and design, particularly using probabilistic methods; and…
Distinguished Institute Professor, Biocomplexity Institute and Initiative, Computer Science (by Courtesy)
Research Interests: Computational complexity, Automata theory, Analysis of algorithms, Discrete dynamical systems, Game theory Dr. Richard Stearns is a Distinguished Institute Professor with the Biocomplexity Institute and Initiative at the University of Virginia. He has made…
For more than 30 years, Professor Gang Tao has worked in various areas of adaptive control theory and applications, with particular interests in adaptive control of systems with multiple inputs and multiple outputs, systems with nonsmooth nonlinearities, and systems with uncertain faults...
Professor, Computer Science, University of Virginia Biocomplexity Institute
Anil Vullikanti is a Professor in the Department of Computer Science and the Biocomplexity Institute. His research interests are randomized algorithms, combinatorial optimization, distributed computing, dynamical systems and network science, machine learning, and AI, and their applications to epidemiology, public health, and modeling.
Visiting Associate Professor. Research interests include: Machine Learning, Text Mining, Information Retrieval, Computational Statistics and Simulation/Statistical Modeling, Stochastic Modeling Hongning Wang received his Ph.D. from the Department of Computer Science at University of…
I completed my Ph.D. at University of Texas at Austin under the supervision of Sarfraz Khurshid. During my Ph.D., I also closely collaborated with Kenneth McMillan and Darko Marinov. Prior to my Ph.D., I earned an MPhil (a research master's degree) from University of Melbourne, where I was supervised by Harald Søndergaard and Peter J. Stuckey.
Chen-Yu Wei is an Assistant Professor in the Computer Science department at the University of Virginia. Previously, he was a Postdoctoral Associate at Massachusetts Institute of Technology and a Research Fellow at the Simons Institute. His research focuses on fundamental problems in interactive decision making and reinforcement learning.
Assistant Professor, Electrical and Computer Engineering
Currently Recruiting
Qiaochu Zhang's research includes analog, mixed-signal, radio-frequency integrated circuits, computer-aided design algorithms, and advanced computing architectures. Dr. Zhang received the B.S. degree (Hons.) in physics from Fudan University, Shanghai, China, in 2017, and the Ph.D…
Thomas M. Linville ProfessorComputer Science, Biomedical Engineering, and Data Science
Currently Recruiting
Aidong Zhang's research focuses on developing machine learning approaches to interpretable and fair learning, concept-based learning, federated learning, and generative AI. She also works on large language models for hypothesis generations for scientific discovery.
Shangtong Zhang is an Alf Weaver Assistant Professor in the Department of Computer Science at the University of Virginia, directing the Sequential Intelligence Lab (SIL). His research focuses on both theoretical and empirical aspects of reinforcement learning, resulting in multiple…
