Michael Katz is a research staff member at IBM T.J. Watson Research Center in Yorktown Heights, New York. His research interests are in the area of Artificial Intelligence (AI), focusing on automated planning and autonomous systems.
Michael Katz joined IBM T. J. Watson Research Center in 2017. Proir to that he was in IBM Watson Health and IBM Research Haifa, Israel.
Prior to joining IBM, Michael has spent two years in France and Germany, doing a postdoc hosted by Prof. Joerg Hoffmann at the Institut national de recherche en informatique et en automatique (INRIA), Nancy, France and in the Department of Computer Science, Saarland University, Germany.
Before that he was a postdoc at the Technion - Israel Institute of Technology, in the Faculty of Industrial Engineering & Management, where he also did his PhD, MSc, and BA studies.
Michael's PhD studies were done in the field of Artificial Intelligence. His PhD Thesis Implicit Abstraction Heuristics for Cost-Optimal Planning was the winner of the ICAPS Best Dissertation Award 2011.
Michael's tools for automated planning (also known as planners) has won numerous awards. Among them Delfi, the winner of the cost-optimal track of the International Planning Competition (IPC) 2018 and Mercury, the runner-up of the satisficing track of the International Planning Competition (IPC) 2014.