
About
Professor Benoit Boulet is a Full Professor in the Department of Electrical & Computer Engineering at McGill University and serves as Director of the McGill Engine Centre for Technological Innovation and Entrepreneurship. His research focuses on systems and control, with applications in robotics, automation, smart grids, and electric vehicles. He is affiliated with the Systems and Control Unit and the CIM Research Group.
His work spans reinforcement learning, time series forecasting, anomaly detection, and traffic signal control. Notable contributions include advancements in electric vehicle transmission systems, autonomous driving trajectory prediction, and energy management systems for smart grids. His research emphasizes practical applications in transportation, renewable energy, and industrial automation.
Key technical areas include:
- Reinforcement learning frameworks for control systems
- Multi-agent systems and meta-learning
- Electric vehicle powertrain design
- Graph-based trajectory prediction
- Energy-efficient building systems
His recent publications (2023-2025) highlight innovations in causal discovery algorithms, fault detection methodologies, and adaptive control strategies. Current initiatives focus on bridging AI advancements with real-world control engineering challenges.
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