Vikas Sindhwani

Vikas Sindhwani is Research Scientist at Google DeepMind in New York where he leads a research group focused on solving a range of planning, perception, learning, and control problems arising in Robotics. His interests are broadly in core mathematical foundations of statistical machine learning, and in end-to-end design aspects of building large-scale, safe and robust AI systems.

His work has received the Best Paper Award at Uncertainty in Artificial Intelligence (UAI-2013); the IBM Pat Goldberg Memorial Award in 2014; the Best Paper Award for Robot Manipulation at ICRA-2024; the Best RoboCup Paper Award at IROS-2024; and was chosen as finalist for Outstanding Planning Paper Award at ICRA-2022 and Best Safety Paper Award at IROS-2024 . He serves on the editorial board of Transactions on Machine Learning Research (TMLR) and IEEE Transactions on Pattern Analysis and Machine Intelligence; he has been area chair and senior program committee member for NeurIPS, International Conference on Learning Representations (ICLR) and Knowledge Discovery and Data Mining (KDD).

He previously headed the Machine Learning group at IBM Research, NY. He has a PhD in Computer Science from the University of Chicago and a B.Tech in Engineering Physics from Indian Institute of Technology (IIT) Mumbai, where he also led the Mens Squash team. His publications are available at: http:vikas.sindhwani.org/papers.html