Dinesh Jayaraman is a postdoctoral scholar at UC Berkeley. He received his PhD from UT Austin (2017) and B. Tech from IIT Madras (2011). His research interests are broadly in computer vision, robotics, and machine learning. In the last few years, he has worked on visual prediction, active perception, self-supervised visual learning, visuo-tactile robotic manipulation, semantic visual attributes, and zero-shot categorization. He has received an ACCV Best Application Paper Award (2016), a Samsung PhD Fellowship (2016), a UT Austin Graduate Dean's Fellowship (2016), and a Microelectronics and Computer Development Fellowship Award (2011). He has published in and reviewed for conferences and journals in computer vision, machine learning, and robotics, received a CVPR Outstanding Reviewer Award (2016), is as an Area Chair for NeurIPS (2018 & 2019).