Artificial Intelligence Systems

Our research on in-memory processing, integrated system design, and advanced materials aims to address computational challenges arising in AI and optimization.
Core Faculty

Scott T. Acton
Professor Acton’s laboratory at UVA is called VIVA - Virginia Image and Video Analysis. They specialize in biological image analysis problems. The research emphases of VIVA include machine learning for image and video analysis, AI for education, tracking, segmentation, and enhancement.

Caroline Crockett
Professor Crockett received a B.S. degree in electrical engineering from the University of Virginia in 2015 and a Ph.D. degree in electrical engineering from the University of Michigan in 2022. Before entering graduate school, she worked in goverment contracting as a systems and image quality engineer. She is a member of IEEE and ASEE.

Farzad Farnoud

Tom Fletcher

Mathews Jacob is is an expert in machine learning algorithms for biomedical imaging. He develops advance magnetic resonance imaging (MRI) methods for brain, lung, and heart applications.

Jundong Li
Li's research interests are generally in AI, Data Mining, and Machine Learning. As a result of his research work, he has published over 150 papers in high-impact venues. He has won several prestigious awards, and his work is supported by NSF, DOE, ONR, JP Morgan, Netflix, Cisco, and Snap.

Zongli Lin

Cong Shen is an Associate Professor in the Department of Electrical and Computer Engineering at UVa. He obtained his PhD degree from UCLA. His research interests are in wireless communications, networking, in-context learning, reinforcement learning, and federated learning.

Nikolaos Sidiropoulos
Nikos Sidiropoulos earned his Ph.D. in Electrical Engineering from the University of Maryland–College Park, in 1992.

Gang Tao
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...

Jing Yang


Miaomiao Zhang
Professor Zhang completed her PhD in computer science at the University of Utah. She was a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology.
