Prof. Dr.Yanling Wei| Intelligent Control | Best Researcher Award
Prof. Dr.Yanling Wei |Ā 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. Weiās 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
š EducationĀ
Dr. Yanling Weiās 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. Weiās 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. Weiās educational path showcases his commitment to research excellence and innovation, making him an authority in various interdisciplinary fields.
š ExperienceĀ
Dr. Yanling Weiās academic and professional experience spans prestigious institutions worldwide. Since 2019, he has been a Full Professor at Southeast Universityās 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. Weiās extensive international experience and leadership in academia make him a pivotal figure in his research areas.
š Awards and HonorsĀ
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 āOutstanding Supervisor of Undergraduate Thesisā award in Jiangsu Province, China. He was also named one of the “Outstanding Engineers of Jiangsu Province” in 2023. Dr. Weiās 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 āHighly Cited Researcherā 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. Weiās dedication to advancing control systems, robotics, and automation, establishing him as a leading researcher in these domains.
š¬ Research FocusĀ
ā Conclusion
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