Prof Kwong Sam Tak Wu

Division of Artificial Intelligence
J.K. Lee Chair Professor of Computational Intelligence
Associate Vice-President (Strategic Research), Office of the President 
Dean, School of Graduate Studies 

BSc (SUNY Buffalo); MASc (Waterloo); PhD (Fernuniversitaet, Germany); FCAE(CA); FNAI (USA); FAE (HK); FIEEE (USA)


Email: [email protected] 

 

Research Interests: Evolutionary algorithms; Video coding; Pattern recognition; Machine learning

sam kwong

About

Professor Kwong Sam Tak Wu is the Associate Vice-President (Strategic Research), J.K. Lee Chair Professor of Computational Intelligence and the Dean of the School of Graduate Studies of Lingnan University. Professor Kwong is a distinguished scholar in evolutionary computation, artificial intelligence (AI) solutions, and image/video processing, with a strong record of scientific innovations and real-world impacts. Professor Kwong is one of the most highly cited researchers by Clarivate in 2022, 2023 and 2024. He has also been actively engaged in knowledge transfer between academia and industry. He was elevated to IEEE Fellow in 2014 for his contributions to optimization techniques in cybernetics and video coding. He was the President of the IEEE Systems, Man, and Cybernetics Society (SMCS) in 2021-22. He is a fellow of the US National Academy of Inventors (NAI), the Canadian Academy of Engineering, and the Hong Kong Academy Awards of Engineering (HKAE). Professor Kwong has a prolific publication record with over 500 journal articles, and 160 conference papers, and an h-index of 102, as per Google Scholar. He is a highly cited researcher from 2022 to 2025.

 

In 2024, he was awarded Second Place in the IEEE Chester W. Sall Memorial Awards for his work published in IEEE Transactions on Consumer Electronics. He has also received the IEEE Signal Processing Society (IEEE SPS) 2025 Best Paper Award for his research paper titled “An Underwater Image Enhancement Benchmark Dataset and Beyond” published in IEEE Transactions on Image Processing. Additionally, he was honoured with the 2026 IEEE Transactions on Evolutionary Computation Outstanding Paper Award for his co-authored paper, “Learning-Aided Evolution for Optimization.” He currently serves as an associate editor for several leading IEEE transaction journals.

 

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