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Dinesh Jayaraman is an Assistant Professor in the Computer and Information Science department at the University of Pennsylvania. He previously worked as a visiting research scientist at Facebook AI Research in Menlo Park and served as a postdoctoral scholar at the University of California, Berkeley. Dinesh earned his Ph.D. from the University of Texas at Austin in 2017 and completed his Bachelor's degree at the Indian Institute of Technology Madras in 2011. His research interests lie at the intersection of perception, learning, and robotic control, focusing on how high-resolution optical and tactile sensors can enhance robotic capabilities in various environments. Dinesh’s work includes exploring effective visual control algorithms that leverage perception-action cycles, aiming to integrate affordable general-purpose robots into homes and workplaces. He investigates a wide array of topics, such as predictive modeling, model-based reinforcement learning, self-supervised visual representation learning, active perception, visuo-tactile manipulation, causal inference, visual servoing, and zero-shot categorization. His contributions to the field have been recognized with multiple awards, including the NSF CAREER Award in 2023.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.