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 SimulationKevin Sullivan
![Kevin Sullivan](/sites/default/files/styles/square_med/public/2024-02/KevinSullivan_headshot_0.jpg?itok=wCJEE9sK)
Kevin Sullivan obtained his background in computer science from Tufts University (1987), working most closely with David Krumme, and in graduate school at the University of Washington, working with David Notkin (MS, 1994, PhD, 1994).
Yixin Sun
Phillip Taylor
![Phillip Taylor headshot](/sites/default/files/styles/square_med/public/Taylor_headshot.jpg?itok=FdQjVsX1)
Yuan Tian
Ashish Venkat
![Headshot of Ashish Venkat](/sites/default/files/styles/square_med/public/Ashish-Venkat_0_1.jpg?h=0eb4227a&itok=C617m-Wl)
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, and USENIX Security, and has received funding from NSF, DARPA, SRC, and Intel.
Tianhao Wang
Hongning Wang
![Hongning Wang headshot](/sites/default/files/styles/square_med/public/HongningWang_headshot.jpg?itok=PIlEPMxq)
Layne T. Watson
![watson](/sites/default/files/styles/square_med/public/2024-02/ltw%2520-%2520Layne%2520Watson%5B1%5D.jpg?itok=0AbDt9fz)
David Wu
Haifeng Xu
Aidong Zhang
![headshot of Aidong Zhang](/sites/default/files/styles/square_med/public/2024-02/UVAEng_Headshot_aidongzhang.jpg?itok=u9wHvm1Y)
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.
Qiaochu Zhang
UVA Engineering is a vibrant, collegial environment in which to work and teach.
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