Artificial Intelligence Research

Dr. Madhur Behl is an Associate Professor in the Department of Computer Science, and an Amazon Scholar
He conducts research in Robotics and Artificial Intelligence, and is the founder and team principal of UVA's Cavalier Autonomous Racing team.

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.

Hadi Daneshmand is an Assistant Professor of Computer Science who works at the intersection of theory and practice in AI (machine learning). He leverages analytical tools to uncover the mechanisms underlying AI systems, characterize their limitations, and design reliable and interpretable models. For more information, please see my webpage. 

For information about me and my research, please see my web page and research group blog.

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.

Nando Fioretto leads UVA's Responsible AI for Science and Engineering (RAISE) group, 
which advances foundation models for scientific and engineering research and 
promotes the responsible use of AI. 
RAISE's mission is to develop AI models grounded in physical and engineering 
principles, endowing them with a principled understanding of the world

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.

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's research focuses on developing machine learning approaches to interpretable and fair learning, concept-based learning, federated learning, and generative AI  and applications to medicine. She also works on large language models for hypothesis generations for scientific discovery.

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.