
About
Dr. Haibo He is the Robert Haas Endowed Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). As an IEEE Fellow and NSF CAREER awardee, his research focuses on computational intelligence, neural networks, and reinforcement learning with applications to smart grids and microgrid systems.
- Ph.D. in Electrical Engineering, Ohio University, 2006
- M.S. in Electrical Engineering, Huazhong University of Science and Technology, 2002
- B.S. in Electrical Engineering, Huazhong University of Science and Technology, 1999
His research interests include:
- Computational Intelligence
- Adaptive Dynamic Programming
- Reinforcement Learning
- Deep Learning for Power Systems
- Distributed Control in Microgrids
- Imbalanced Data Learning
Recent research trends from publications (2018-2025) show a focus on:
- Multi-agent reinforcement learning for energy systems
- Digital twin frameworks for grid security
- Event-triggered control mechanisms
- Finite-time convergence algorithms
- Cyber-attack resilient control systems
- Evolutionary computation in power networks
Awards:
- IEEE Fellow (2018)
- NSF CAREER Award (2017)
Dr. He leads the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory at URI, which conducts fundamental research on computational intelligence methods with applications to power systems, data mining, and neural networks.
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