Hak‐Keung Lam
Also known as H K Lam, H. K. LAM, H. K. Lam, H.K. Lam, Hak Keung Lam
Hak‐Keung Lam is an engineering researcher whose work connects fuzzy-model control, neural networks and machine learning. He earned engineering degrees at Hong Kong Polytechnic University, worked there as a postdoctoral and research fellow, and joined King’s College London as a Lecturer in 2005. His 2016 book presents membership-function-dependent analysis and control design for polynomial fuzzy-model systems, and he was named an IEEE Fellow in 2019 for contributions to fuzzy-model-based control. He was part of HearTech+, a King’s team that won first place in the 2022 PhysioNet heart-murmur challenge with machine-learning algorithms. As of October 2026, he is Reader of Intelligent Control and Computational Intelligence at King’s and coauthors research on explainable AI for image classification.
Timeline
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1995–2000
Engineering degrees at PolyU
He earns a B.Eng. (Hons.) in 1995 and a Ph.D. in 2000 in Electronic and Information Engineering at Hong Kong Polytechnic University.
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2000–2005
Fellowships and a King’s lectureship
From 2000 to 2005, he works in the Department of Electronic and Information Engineering at Hong Kong Polytechnic University as a postdoctoral fellow and a research fellow. He joins King’s College London as a Lecturer in 2005.
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2016
A polynomial fuzzy control book
In 2016, he publishes a book on polynomial fuzzy-model-based control systems that covers membership-function-dependent analysis and control design.
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2018–2020
Highly Cited Researcher and IEEE Fellow
He is named a Highly Cited Researcher in 2018 under cross-field and in 2019 and 2020 under engineering. In 2019, he is named an IEEE Fellow for contributions to analysis and design of fuzzy-model-based control systems.
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2022
HearTech+ wins first place
In 2022, he is part of HearTech+, a King’s team that wins first place in the PhysioNet Computing in Cardiology heart-murmur challenge. The team develops machine-learning algorithms to detect murmurs in phonocardiogram recordings.
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As of October 2026
Reader and associate editor
As of October 2026, he is Reader of Intelligent Control & Computational Intelligence in King’s Department of Engineering and serves as Lead Associate Editor for the IEEE Systems, Man and Cybernetics Society Section. In July 2026, he coauthors a paper with Faliang Yin and David Watson titled “General type-2 hierarchical fuzzy model-agnostic explanation of image classification for XAI.” His stated research interests include fuzzy-model and neural-network-based control, computational intelligence and machine learning.
Sources and credits
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- Lecture of Dr. Hak-Keung Lam | School of Mechanical Engineering, Shanghai Jiao Tong University
- Polynomial Fuzzy Model-Based Control Systems: Stability Analysis and Control Synthesis Using Membership Function Dependent Techniques | King’s Research Portal
- King’s Engineer Dr Hak-Keung Lam named in Highly Cited Researchers list for third year running | King’s College London
- King’s Engineer Dr Hak-Keung Lam named Fellow of the Institute of Electrical and Electronics Engineers | King’s College London
- Detecting heart defects in babies and children | King’s College London
- Hak-Keung Lam | King’s Research Portal
- IEEE Systems, Man and Cybernetics Society Section | IEEE Access