Dinesh Jayaraman is an assistant professor at the University of Pennsylvania with 11 years of experience at the intersection of robotics, computer vision, and machine learning. He transitioned from PhD and postdoctoral research at UT Austin and UC Berkeley to academic leadership, with a brief visiting researcher stint at Facebook AI, reflecting strong industry-research ties. His work focuses on teaching both robots and humans—translating cutting-edge perception and control research into practical systems and curricula. Trained in electrical engineering at IIT Madras and holding advanced degrees in CS/EE from UT Austin, he blends rigorous theory with hands-on vision and learning projects. Colleagues note his knack for making complex robotic behaviors teachable, an approach that informs both his lab's research and classroom teaching.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
Master of Science (M.S.), Electrical Engineering and Computer Science, Master of Science (M.S.), Electrical Engineering and Computer Science at The University of Texas at Austin
Contributions:9 pushes, 1 branch in 4 years 6 months
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