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.
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…
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.
Research interests include: Applied and Theoretical Cryptography, Computer Security David Wu received his PhD in Computer Science from Stanford University in 2018 and in January 2019 joined the University of Virginia as an Assistant Professor.
Matheus is an Assistant Professor of Computer Science at the University of Virginia. His research interests include AI, Algorithmic Economics, and Security. He applies artificial intelligence, optimization, and theoretical computer science tools to create secure, transparent, and auditable platforms.
Assistant Professor, Electrical and Computer Engineering
Xiaoxuan Yang's research focuses on efficient and reliable processing-in-memory-based system design, biologically plausible system design, and hardware accelerators for emerging technologies and applications. Xiaoxuan Yang is an assistant professor in the Electrical and Computer…
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.
