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About

Rohan Chandra is an Assistant Professor in Computer Science at the University of Virginia and leads the CRΔL lab. From 2022 to 2024, he was a postdoctoral research fellow in Texas Robotics, advised by Dr. Joydeep Biswas and Dr. Peter Stone, at the University of Texas at Austin. His research focuses on algorithms and systems for enabling robots to navigate safely and efficiently among humans, like humans. Rohan obtained his M.S. and Ph.D. in 2018 and 2022 from the University of Maryland, College Park advised by Dr. Dinesh Manocha, and completed his B.Tech from the Delhi Technological University, New Delhi in 2016. His doctoral thesis focused on autonomous driving in dense, heterogeneous, and unstructured traffic environments.

Rohan is a 2023 Microsoft Future Leader in Robotics and AI, 2023 KAUST Rising Star in AI, 2022 RSS Pioneer, and 2021 UMD Future Faculty Fellow. He is a finalist for the 2022 Charles A. Caramello Distinguished Dissertation Award and the UMD Innovation of the Year Award for 2021 and 2022. He is a recipient of the 2023 Drones Young Investigator Award, the 2023 SNU PhD Award for Autonomous Navigation, and the UMD 2020 summer research fellowship. His published work appears regularly in top computer vision, AI, and robotics conferences (CVPR, ICRA, IROS) and he is actively involved in participating in workshops and program committees of leading conferences in robotics, computer vision, artificial intelligence, and machine learning. Rohan is serving on the editorial boards of several reputed journals including RA-L.

Education

Ph.D., University of Maryland, College Park, 2022

M.S., University of Maryland, College Park, 2018

B.Tech. Delhi Technological University, 2016

Research Interests

Robotics, Autonomous Driving, Multi-Robot Systems

Courses Taught

CS 2120 (Fall 2024) Discrete Mathematics and Theory 1

Awards

Drones Young Investigator Award 2024
Seoul National University (SNU) Ph.D. Talk Award 2023
Charles A. Caramello Distinguished Dissertation Award (finalist) 2023
Rising Stars in AI Symposium at KAUST (declined) 2023
UMD Innovation of the Year Award (finalist) 2022, 2021
RSS Pioneers 2022