Bio: Jitendra Malik is Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley, where he also holds appointments in vision science, cognitive science and Bioengineering. He received the PhD degree in Computer Science from Stanford University in 1985 following which he joined UC Berkeley as a faculty member. He served as Chair of the Computer Science Division during 2002-2006, and of the Department of EECS during 2004-2006.

Jitendra's group has worked on computer vision, computational modeling of biological vision, computer graphics and machine learning. Several well-known concepts and algorithms arose in this work, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. His publications have received numerous best paper awards, including five test of time awards - the Longuet-Higgins Prize for papers published at CVPR (twice) and the Helmholtz Prize for papers published at ICCV (three times). He received the 2013 IEEE PAMI-TC Distinguished Researcher in Computer Vision Award, the 2014 K.S. Fu Prize from the International Association of Pattern Recognition, the 2016 ACM-AAAI Allen Newell Award, the 2018 IJCAI Award for Research Excellence in AI, and the 2019 IEEE Computer Society Computer Pioneer Award.

Jitendra Malik is a Fellow of the IEEE, ACM, and the American Academy of Arts and Sciences, and a member of the National Academy of Sciences and the National Academy of Engineering.

Bio: Alessandro Abate received the M.S. degree from the University of Padua, Padua, Italy, in 2004, and the Ph.D. degree from the UC Berkeley, Berkeley, CA, USA, in 2007, both in electrical engineering and computer sciences. He is currently a Professor of verification and control with the Department of Computer Science, University of Oxford, Oxford, U.K. Earlier, he did research with Stanford University, Stanford, CA, USA, and SRI International, and was an Assistant Professor with the Delft Center for Systems and Control, TU Delft, Delft, The Netherlands. His research interests lie in the formal verification and control of stochastic hybrid systems, and in their applications to cyber-physical systems, particularly involving safety criticality and energy. He blends in techniques from probability theory and logic, machine learning and AI, towards assured autonomy.

Bio: Anima Anandkumar is Bren Professor at Caltech. She previously was a Senior Director of AI Research at NVIDIA and Principal Scientist at Amazon Web Services. She received her B.Tech from the Indian Institute of Technology Madras, and her Ph.D. from Cornell University. She did her postdoctoral research at MIT and an assistant professorship at the University of California Irvine. She has received several honors such as the IEEE fellowship, Alfred. P. Sloan Fellowship, NSF Career Award, and Faculty Fellowships from Microsoft, Google, Facebook, and Adobe. She is part of the World Economic Forum's Expert Network.