Dinesh Jayaraman

Dinesh Jayaraman

Assistant Professor (starting January 2020)
Computer and Information Science (CIS)
Electrical and Systems Engineering (ESE)

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Honors and Awards:  2019 Best Paper Award Runner-Up, IEEE Robotics and Automation-Letters 2018, 2017 Graduate Dean’s Prestigious Fellowship Supplement, 2016 Best Application Paper Award at Asian Conference on Computer Vision (ACCV), 2016 Samsung PhD Fellowship, 2016 IEEE Computer Vision and Pattern Recognition (CVPR) Outstanding Reviewer Award, 2011 Microelectronics and Computer Development Fellowship

Research Expertise: Computer Vision | Robotics | Machine Learning

Dinesh Jayaraman will join the GRASP lab as an assistant professor in January 2020. He is currently a visiting research scientist at Facebook AI Research, Menlo Park. He received his Ph.D. from UT Austin (2017) and was a postdoctoral scholar at UC Berkeley. His research interests are broadly in computer vision, robotics, and machine learning. In the last few years, he has worked on visual prediction, visuo-tactile robotic manipulation, robotic benchmarking, active perception, self-supervised visual learning, semantic visual attributes, and zero-shot categorization. He has received a Robotics and Automation Letters Best Paper Runner-Up Award (2018), an Asian Conferene on Computer Vision Best Application Paper Award (2016), a Samsung Ph.D. Fellowship (2016), a UT Austin Graduate Dean's Fellowship (2016), and a Microelectronics and Computer Development Fellowship Award (2011). He has published in and served on reviewing and area chair committees for top conferences and journals in computer vision, machine learning, AI, and robotics.

Education:
Ph.D. from the University of Texas - Austin
Bachelor's from IIT Madras

Recent Publications


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