Artificial Intelligence Research
The recent explosive growth in artificial intelligence (AI) and data mining demonstrates their vast potential to radically transform the norms and practices in every industry and every aspect of our society. Our department is advancing the state of the art in both fundamental algorithms as well as new algorithms to help users benefit from this revolution and provide new capabilities for the benefit of society.
AI Core Faculty
Madhur Behl
Dr. Madhur Behl is an associate professor in the departments of Computer Science, and Systems and Information Engineering.
He conducts research in Robotics and Artificial Intelligence, and is the team principal of UVA's Cavalier Autonomous Racing team
Rohan Chandra
Rohan Chandra is an Assistant Professor in the Department of Computer Science at the University of Virginia. His research interests include multi-robot navigation, human-robot interaction, and autonomous driving. The overarching goal of his robotics lab is to design algorithms and systems that enable robots to navigate among humans, like humans.
Zezhou Cheng
David Evans
For information about me and my research, please see my web page and research group blog.
Farzad Farnoud
Lu Feng
Matheus Venturyne Xavier Ferreira
Ferdinando Fioretto
Ferdinando Fioretto works on machine learning, optimization, differential privacy, and fairness. He is a recipient of the Amazon Research Award, the NSF CAREER award, the Google Research Scholar Award, the Caspar Bowden PET award, the ISSNAF Mario Gerla Young Investigator Award, the ACP Early Career Researcher Award, and several best paper awards.
Tom Fletcher
Yangfeng Ji
Yen-Ling Kuo
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.
Yu Meng
Yanjun Qi
Hongning Wang
Tianhao Wang
Chen-Yu Wei
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.
Aidong Zhang
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.
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.