Prof. Dr.Yanling Wei | Intelligent Control at Southeast University, China
Dr. Yanling Wei is a Full Professor in the Department of Automation at Southeast University, China. He holds a Ph.D. in Aeronautics from Harbin Institute of Technology and a B.Eng. in Automation from Harbin University of Science and Technology. Dr. Wei’s research spans multiple areas, including robust filtering and estimation, robotics, industrial process control, and intelligence control. He has worked in top institutions across the globe, including the University of Leuven (Belgium), the National University of Singapore, and the Technical University of Berlin. With his strong academic background and global experience, he has made significant contributions to control systems, robotics, and automation. His expertise in robust control and machine learning has earned him numerous accolades and recognition as a leading researcher in his field.
Profile
Scopus
🎓 Education
Dr. Yanling Wei’s academic journey began at Harbin University of Science and Technology, where he earned his Bachelor’s degree in Automation (B.Eng.) in 2008. He then pursued advanced studies at Harbin Institute of Technology, obtaining his Ph.D. in Aeronautics in 2014. His doctoral research focused on control systems, leading to groundbreaking advancements in robust filtering, estimation, and nonlinear system control. Dr. Wei’s education laid a solid foundation for his subsequent career in robotics, automation, and intelligent control. His passion for academic growth is reflected in his postdoctoral work at prestigious institutions like the National University of Singapore and the Technical University of Berlin. Dr. Wei’s educational path showcases his commitment to research excellence and innovation, making him an authority in various interdisciplinary fields.
🏆 Experience
Dr. Yanling Wei’s academic and professional experience spans prestigious institutions worldwide. Since 2019, he has been a Full Professor at Southeast University’s Department of Automation, where he teaches and leads groundbreaking research in robotics and control systems. His previous roles include serving as a Senior Research Fellow at the University of Leuven (Belgium) from 2018 to 2019, and a Postdoctoral Researcher at the National University of Singapore (2017-2018) and Technical University of Berlin (2014-2016). Dr. Wei has developed expertise in robust filtering and nonlinear control systems, especially in multi-agent systems, robotics, and industrial process control. Additionally, his academic leadership includes serving as a reviewer and editorial board member for several top journals in his field, further contributing to the academic community. Dr. Wei’s extensive international experience and leadership in academia make him a pivotal figure in his research areas.
🏅 Awards and Honors
Dr. Yanling Wei has been recognized for his outstanding contributions to the field of control systems and robotics with numerous prestigious awards. In 2024, he received the “Outstanding Supervisor of Undergraduate Thesis” award in Jiangsu Province, China. He was also named one of the “Outstanding Engineers of Jiangsu Province” in 2023. Dr. Wei’s excellence in research earned him the “Grand Prize of Mechanical Industry Science and Technology Progress Award” in 2022, alongside being recognized as one of the “Top 2% Scientists” globally by Stanford University. In 2021, he was honored as a “Highly Cited Researcher” by Clarivate, reflecting the significant impact of his publications. His recognition also includes the “Outstanding Reviewer” award from IEEE Transactions on Cybernetics in 2016. These honors showcase Dr. Wei’s dedication to advancing control systems, robotics, and automation, establishing him as a leading researcher in these domains.
🔬 Research Focus
Dr. Yanling Wei’s research focus lies at the intersection of robotics, automation, and control systems, with a particular emphasis on robust filtering and estimation. His work has contributed significantly to the development of novel approaches for intelligent control and decision-making in nonlinear and multi-agent systems. He is particularly known for his pioneering work on the integration of machine learning techniques in robotics and automation. Dr. Wei’s research addresses complex issues in industrial process control, robotics, and ball screw drive systems, aiming to improve system reliability and performance under uncertainties. His studies in intelligent control systems and decision-making models for industrial applications have had a transformative impact on fields ranging from robotics to energy management. Dr. Wei’s interdisciplinary approach, blending advanced control techniques with artificial intelligence, continues to influence cutting-edge research and practical applications in automation and robotics.
✅ Conclusion
Given Dr. Wei’s exemplary body of work, global recognition, and leadership in advancing automation, robotics, and control systems, he is undoubtedly a highly suitable candidate for the Best Researcher Award. His sustained contributions to cutting-edge research, combined with his commitment to academic excellence and mentoring, make him a deserving nominee. His impact in the field of automation, particularly in the application of robust control methods, ensures his place as a leading figure in his domain.
Publication
Dynamic sliding mode control for ball screw drive systems under a disturbance observer scheme
Authors: Y. Wei, S. Zhang, Y. Chen, H.R. Karimi
Year: 2025
An Improved Bilevel Algorithm Based on Ant Colony Optimization and Adaptive Large Neighborhood Search for Routing and Charging Scheduling of Electric Vehicles
Authors: Z. Li, Y. Wei, J. Park
Year: 2025
Multi-Encoder Spatio-Temporal Feature Fusion Network for Electric Vehicle Charging Load Prediction
Authors: Y. Chen, M. Wang, Y. Wei, X. Huang, S. Gao
Citations: 1
Year: 2024
Charging Path Planning for Electric Vehicles Based on Reinforcement Learning Environment Design Strategy
Authors: Y. Song, Y. Chen, Y. Wei, S. Gao
Citations: 1
Year: 2024
Constraint-Following Based Adaptive Robust Control for Underactuated Mechanical Systems
Authors: C. Wei, Y. Chen, Y. Wei