宋永端教授

方润华工业数据科学讲座教授
数据科学学院院长

BSc (Sichuan); MSc (Chongqing); PhD (Tennessee Technological); Foreign Member of the Chinese Academy of Engineering (CAE), Member of the International Eurasian Academy of Sciences, IEEE Fellow, Member of the US National Academy of Artificial Intelligence, Fellow of the Chinese Association of Automation, Fellow of the Chinese Association for Artificial Intelligence, Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems

Professor Song Yongduan is the Dean of the School of Data Science and Henry Y. W. Fong Chair Professor of Industrial Data Science in the Division of Industrial Data Science at Lingnan University.

Professor Song is an internationally renowned scientist who contributed in reliable neuroadaptive control systems. His research interests are broad and include intelligent systems, guidance, navigation, and control, as well as bio-inspired adaptive and cooperative systems, with a particular focus on data-driven control and machine learning methodologies.

Professor Song was elected as a Foreign Member of the Chinese Academy of Engineering (CAE) (中國工程院外籍院士) in November 2025. Professor Song has published 12 books and over 400 scientific papers, and holds 100 patents issued by China, the USA, and Japan. He has received numerous research grants from NSF, ONR, AFOSR, NIA, DOE etc. He has made significant contributions to the academic community through his role as an Associate Editor for several prestigious international journals, including several leading IEEE journals. Currently, he serves as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems. He has been recognised as one of the World’s Top 2% Scientists by Stanford University for multiple consecutive years and has been listed as one of the most highly cited researchers by Clarivate since 2021. 

Research Interests:

• Neural networks and learning control systems
• Control theory and applications
• Renewable energy systems

• Intelligent robotic systems