Mikhail Soutchanski

Dr. Mikhail Soutchanski is a Professor in the Department of Computer Science at Toronto Metropolitan University. His research focuses on automated planning, reasoning about actions, and large-scale problem-solving methodologies. He has held significant roles in organizing international conferences, including the 12th International Conference on Principles of Knowledge Representation and Reasoning (KR&R-2010) in Toronto. He earned a PhD from the University of Toronto (2003) and a Diploma with Honors from the Moscow Institute of Physics and Technology (1984).

His research interests include:

• Automated Planning in Mixed Discrete-Continuous Systems
• Computationally Tractable Reasoning About Actions and Events
• Lifted Planning
• Principled Methods for Domain Independent Large Scale Problem Solving
• Reasoning About Actual Causes and Root Cause

He has contributed to Toronto Metropolitan University's recognition in AI rankings, with his publications supporting Ryerson's #10 ranking in Canada for pure Artificial Intelligence in 2019. He has served on program committees for major AI conferences (AAAI, IJCAI) and journals, and held advisory roles in the Knowledge Representation community.