Research @ UVA Engineering

Cong Shen is an expert in two fields: artificial intelligence and machine learning, and signal processing, communications, and networking. His current interests are in generative models, in-context learning, reinforcement learning, federated learning, and their engineering applications.

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...

Anil 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.

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.

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.