Dinesh Jayaraman

Assistant Professor at University of Pennsylvania

Philadelphia, Pennsylvania, United States
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Summary

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Senior
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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.
code11 years of coding experience
job5 years of employment as a software developer
bookIndian Institute of Technology Madras
bookMaster 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
bookDAV Senior Secondary School
languagesEnglish, Tamil
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Github Skills (41)

tensorboard10
chainer9
caffe9
visualization9
pytorch9
machine-learning9
deep-learning9
google-sites9
region9
actor-critic9
approximation8
deep-reinforcement-learning8
proximal-policy-optimization8
python8
generative8

Programming languages (3)

C++LuaPython

Github contributions (5)

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dineshj1/caffe

Sep 2014 - Dec 2016

Contributions:80 commits, 27 pushes, 6 branches in 2 years 3 months
pytorchdevdeep-learningmastermachine-learning
dineshj1/aavl_template

Apr 2016 - Oct 2020

Contributions:9 pushes, 1 branch in 4 years 6 months
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