Michael Katz is a Principal 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, as well as integration of planning and reinforcement learning techniques. Michael's tools for automated planning (also known as planners) have 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. Mercury planner has also received the Innovative Planner Award at IPC 2014. Michael is a member of ICAPS executive council. He has served as program co-chair of ICAPS 2021, and as an organizer of workshops PRL@ICAPS2020, PRL@ICAPS2022, PRL@IJCAI2022, HSDIP2011, HSDIP2013, HSDIP2014, HSDIP2015, HSDIP2016, HSDIP2018, was the Publicity Chair and Video Chair at ICAPS2015. He was also a lecturer at the ICAPS2013 Summer School. He regularly serves on the PC and SPCs of ICAPS, IJCAI and AAAI.