哈尔滨工业大学（深圳）学术讲座

Speaker：王世民 （MIT Postdoc Associate）

Title:   Intelligent Autonomous Systems: Learning, Estimation, and Optimal Control

Date：2025-06-09（Mon. 周一）     Time：10:00-11:00

Venue:  L0213-L0214

摘要（Abstract)：

Intelligent systems are vital to modern engineering, enabling autonomy, adaptability, and efficient decision-making. This seminar presents recent advances in learning, estimation, and control—three core pillars of intelligent systems. It covers data-driven and model-based learning methods, including machine learning and reinforcement learning, for decision-making under uncertainty; estimation techniques like distributed and nonparametric methods for dynamic state reconstruction; and robust, optimal, and predictive control strategies for complex, uncertain environments. The integration of these elements enhances system resilience and performance across applications such as robotics, autonomous vehicles, and biomedical systems. Key challenges and future research directions are also discussed.

报告人简介(About the speaker):

Dr. Shimin Wang is a Postdoctoral Associate at the Massachusetts Institute of Technology (MIT), where he conducts research in control and machine learning, with applications to advanced manufacturing systems, under the supervision of Prof. Richard D. Braatz, a member of the National Academy of Engineering. Prior to joining MIT, he was an NSERC Postdoctoral Fellow at Queen’s University and a Postdoctoral Fellow at the University of Alberta, collaborating with leading experts in Electrical and Chemical engineering, including Prof. Martin Guay and Prof. Tongwen Chen.

Dr. Wang earned his Ph.D. in Mechanical and Automation Engineering from The Chinese University of Hong Kong, where he developed foundational contributions to multi-Intelligent systems under the guidance of IEEE Life Fellow Prof. Jie Huang. Dr. Wang has received numerous awards for his research and academic contributions, including the Best Poster Award at the 2024 Nonlinear System and Control Conference, the MIT Kaufman Teaching Certificate (2024), the NSERC Post-Doctoral Fellow Award (2022), and the Best Conference Paper Award at the 2018 IEEE International Conference on Information and Automation.