Shirin Sohrabi           

Shirin Sohrabi is a research staff member and research manager at IBM T.J. Watson Research Center in Yorktown Heights, New York. Her research interests are in the area of Artificial Intelligence (AI) with a focus on AI planning and its many applications. In particular, she is interested in knowledge engineering and modeling issues for AI planning, planning with incomplete knowledge, planning with preferences, temporal planning, cost-sensitive planning, diverse planning, as well as combining AI planning and reinforcement learning. She is currently involved in the IBM Research Scenario Planning Advisor (SPA) project.

 Shirin Sohrabi joined IBM T. J. Watson Research Center in 2012, after receiving her Ph.D. in Computer Science from University of Toronto.

In 2020, she won the best system demonstration award at ICAPS 2020 and in 2018, she received the runner up award for the best system demonstration at IJCAI for her work on Scenario Planning for Enterprise Risk Management. In 2016, she received the outstanding reviewer award at ICAPS and also won the runner up award in the system demonstration competition for her work on Future State Projection as Planning. In 2010, She received the best doctoral consortium paper award at the International Semantic Web Conference for a description of her doctoral dissertation work.

She has served as program co-chair of ICAPS 2020, as Novel Application Track co-chair of ICAPS 2018 and 2019, and as System Demonstration Track chair of AAAI 2018. She regularly serves on the PC and SPCs of ICAPS, IJCAI and AAAI.  She is an ACM senior member and a member of ICAPS executive council.  She has received her M.Sc and B.Sc from  University of Toronto.

Contact

Mailing address:
1101 Kitchawan Rd Route 134 / P.O. Box 218
Yorktown Heights, NY 10598
United States

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