Research @ UVA Engineering
Engineering for the Cyber FutureOur 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.
Research Area
Advanced and Secure Computing Cyber-Physical and Autonomous Systems Human Technology Interaction Data Science, AI/ML and Simulation-
Anil Vullikanti
Professor, Computer Science, University of Virginia Biocomplexity InstituteAnil 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.
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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.
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Tianhao Wang
Assistant Professor, Computer Science -
Hongning Wang
Visiting Associate Professor, Computer Science -
Chen-Yu Wei
Assistant Professor, Computer ScienceChen-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.
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Aidong Zhang
Thomas M. Linville Professor Computer Science, Biomedical Engineering, and Data ScienceCurrently RecruitingAidong 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.
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Yuan Tian
Ashish Venkat

Ashish Venkat is an Assistant Professor in the Department of Computer Science at the University of Virginia, where he joined after obtaining a Ph.D. from UC San Diego. His work has been published at top-tier venues such as ISCA, MICRO, ASPLOS, HPCA, IEEE S&P, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Inte
David Wu
UVA Engineering is a vibrant, collegial environment in which to work and teach.
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