Keynote Speakers

Christopher Matthew De Sa >>

Cornell University, USA

Abstract
Bio

Christopher Matthew De Sa is currently an Assistant Professor in the Computer Science department at Cornell University. research interests include algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on relaxed-consistency variants of stochastic algorithms such as asynchronous and low-precision stochastic gradient descent (SGD) and Markov chain Monte Carlo. He has authored numerous papers in leading journals and conferences in Machine Learning. He holds BS and MS degrees, both in Electrical Engineering, from Stanford University, and completed his PhD from the same department at Stanford University. For more information about his work please see https://www.cs.cornell.edu/~cdesa/.

Milind Tambe >>

Harvard University, USA

Abstract
Bio
Prof. Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Principal Scientist and Director “AI for Social Good” at Google Research. He is recipient of the IJCAI (International Joint Conference on Artificial Intelligence) John McCarthy Award, AAAI (Association for Advancement of Artificial Intelligence) Feigenbaum Prize, AAAI Robert S. Engelmore Memorial Lecture Award, AAMAS ACM (Association for Computing Machinery) Autonomous Agents Research Award, INFORMS ( Institute for Operations Research and the Management Sciences) Wagner prize for excellence in Operations Research practice and Rist Prize from MORS (Military Operations Research Society). He is a fellow of AAAI and ACM. For his work on AI and public safety, he has received Columbus Fellowship Foundation Homeland security award and commendations and certificates of appreciation from the US Coast Guard, the Federal Air Marshals Service and airport police at the city of Los Angeles.