Hang Ma

Hang Ma is an Assistant Professor in Computing Science at Simon Fraser University (SFU) and director of the Autonomous Intelligence and Robotics (AIRob) lab. His research focuses on artificial intelligence, robotics, and machine learning, with particular emphasis on automated planning, multi-agent/robot systems, spatio-temporal reasoning, and combinatorial optimization.

Education:

• Ph.D. Computer Science, University of Southern California (2019)
• M.Sc. Computer Science, McGill University (2014)
• B.Sc. Computing Science, Simon Fraser University (2012)
• B.Eng. Computer Science and Technology, Zhejiang University (2012)

Research Interests:

• Multi-Agent Path Finding (MAPF) and Coverage Path Planning (CPP)
• Reinforcement Learning and Decentralized Systems
• Robotics Applications in Logistics and Autonomous Systems
• Large-Scale Combinatorial Optimization

Recent Work Trends: His publications emphasize scalable solutions for multi-robot coordination, including path planning under constraints, learning-based optimization, and applications in warehouse automation and HD mapping. Recent work includes integrating MAPF techniques into coverage path planning and improving decentralized decision-making for dynamic formations.

Teaching and Advising: He supervises PhD and MSc students at SFU, focusing on multi-agent systems and robotics. Current advisees include Dingyi Sun, Jiaqi Tan, and Jingtao Tang. His courses include CMPT 417/827: Intelligent Systems.

Service: He has organized conferences like SoCS 2021 and ICAPS 2021, and serves on program committees for AAAI, IJCAI, and IROS. He is a Guest Editor for SN Applied Sciences on distributed robotic systems.