Artificial Intelligence Systems

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.

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. 

His research interests include the information-theoretic and probabilistic analysis of genomic evolutionary processes; rank aggregation and gene prioritization; and coding for flash memory and DNA storage research interests include the information-theoretic and probabilistic analysis of genomic evolutionary processes; rank aggregation and gene prio

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.

Li's research interests are generally in AI, Data Mining, and Machine Learning. As a result of his research work, he has published over 200 papers in high-impact venues. He has won several prestigious awards, and his work is supported by NSF, DOE, ONR, JP Morgan, Netflix, Cisco, Snap, and NEC America.

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 transformers, reinforcement learning, in-context learning, LLMs, federated learning, and AI/ML for wireless.

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

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 Zhang's research focuses on developing novel machine learning and AI models in the field of medical and biological imaging. Her current work spans generative modeling, medical image and shape analysis, with applications in cardiovascular imaging, neuroimaging, and computer-assisted surgery.