Long version:

Dinesh Jayaraman was born in Chennai, India in 1989. He received the B.Tech degree in Electrical Engineering at the Indian Institute of Technology, Madras in 2011 and the PhD degree in Electrical and Computer Engineerin from the University of Texas at Austin in 2017. After a postdoc at the University of California, Berkeley, he joined the University of Pennsylvania in 2020, where he now serves as an Assistant Professor in the Department of Computer and Information Science. He is a core member of the GRASP laboratory at Penn, where he leads the Perception, Action, and Learning (Penn PAL) research group. During Fall 2019, he was at Meta (then Facebook) as a visiting researcher.

Dinesh's research group has worked on various topics in robot learning, reinforcement learning, and computer vision. This includes early work on self-supervised visual representation learning from ego-motion and temporal continuity, active visual recognition and reconstruction, video prediction, model-based planning and model-based reinforcement learning, sensing touch and contact, entity-centric visual representations, and the development and use of foundation models for robotics.

Dinesh's research is funded by U.S.~government funding agencies such as the National Science Foundation (NSF), the Office of Naval Research (ONR), and Defense Advanced Research Projects Agency (DARPA). Their research has received a Best Paper Award at CORL '22, a Best Paper Runner-Up Award at ICRA '18, a Best Application Paper Award at ACCV ‘16, the NSF CAREER award '23, an Amazon Research Award '21, and been covered in several press outlets. His webpage is at: https://www.seas.upenn.edu/~dineshj/

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Short version:

Dinesh Jayaraman is an assistant professor at the University of Pennsylvania's CIS department and GRASP lab. He leads the Perception, Action, and Learning (Penn PAL) research group, which works at the intersections of computer vision, robotics, and machine learning. Dinesh received his PhD (2017) from UT Austin, before becoming a postdoctoral scholar at UC Berkeley (2017-19). Dinesh's research has received a Best Paper Award at CORL '22, a Best Paper Runner-Up Award at ICRA '18, a Best Application Paper Award at ACCV ‘16, the NSF CAREER award '23, an Amazon Research Award '21, and been covered in several press outlets. His webpage is at: https://www.seas.upenn.edu/~dineshj/