IEEE Computational Intelligence Magazine - May 2020 - 8

Transactions on Mechatronics, the IEEE
Computational Intelligence Magazine.
He has chaired/co-chaired several international conferences (IEEE and otherwise), and has been the founding Chair
of the IEEE CIS Chapter in Kitchener/
Waterloo, and has Chaired the IEEE
CIS Committee on Continuing Education. He was an IEEE Distinguished
Lecturer in 2016.
He is the recipient of the University
of Waterloo Outstanding Performance
Award (2008), University of Waterloo
Distinguished Perfor mance Award
(2019), the Premier Research Excellence Award (2000), the Elsevier's Pattern Recognition Best Paper Award
(2012), the World Automation Congress'
Anderson Best Paper Award (1997), and
the IEEE Appreciation Certificate for
Notable Services and Contributions to
IEEE and the Engineering Profession
(2019). He is a Fellow of the Canadian
Academy of Engineering, a Fellow of
the Engineering Institute of Canada and
serves as the president for the Association for Image and Machine Intell i gence, which organizes the yearly
conference International Conference on
Image Analysis and Recognition.
Hak-Keung Lam
King's College London, UK
for contributions to analysis and design of
fuzzy model-based control systems.
Hak-Keung Lam
received the B.Eng.
(Hons.) and Ph.D.
deg rees from the
Department of Electronic and Information Eng ineer ing,
The Hong Kong Polytechnic University,
Hong Kong. He is a Reader with the
Department of Engineering, King's College London, United Kingdom. He is
being recognized for contributions to
analysis and design of fuzzy model-based
control systems. He has made contributions to the two research sub-fields:
membership-function-dependent analysis and interval type-2 fuzzy control systems under the fuzzy-model-based
control framework. He proposed membership-function-dependent analysis

techniques and imperfect premise
matching concept which remove the
long-standing fundamental issues and
overcome some long-existing challenges
in the analysis and design of fuzzy-model-based control systems. He initiated
the modeling concept and coined the
analysis and design techniques for interval type-2 fuzzy model-based control
systems. His research interests include
fuzzy control, computational intelligence and machine learning.
H.K. Lam has authored/co-authored
over 340 papers which have received
citations over ten thousand times and
with h-index of 55 from Google Scholar. He is an Associate Editor for IEEE
Transactions on Fuzzy Systems, IEEE
Transactions on Circuits and Systems II:
Express Briefs, IET Control Theory and
Applications, International Journal of
Fuzzy Systems, Neurocomputing, and
Nonlinear Dynamics, and on the editorial boards of many international journals. He was named as highly cited
researcher for 2018 and 2019, and an
IEEE Fellow.
Yun Li
Dongguan University of
Technology, CHINA
for application of computational intelligence to
system design and control.
Yun Li received the
B.S. degree in electronics science from
Sichuan University
in 1984, the M.E.
degree in electronic
eng ineer ing from
University of Electronic Science and
Technology of China in 1987, and the
Ph.D. degree in parallel computing and
control from University of Strathclyde,
U.K. in 1990.
In 1989, he was Control Engineer
with the U.K. National Engineering
Laboratory. In 1990, he was Postdoctoral
Research Engineer with Industrial Systems and Control Ltd, Glasgow. From
1991 to 2018, he was Lecturer, Senior
Lecturer and Professor with University
of Glasgow and was Founding Director,
University of Glasgow Singapore. He is
currently Founding Director of Dong-

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2020

guan Industry 4.0 Artificial Intelligence
Laboratory and a Distinguished Professor with Dongguan University of Technology, China. Since 1991, his research
group's interest has been computational
artificial intelligence and its applications.
He is the author of the popular 1997
online interactive courseware for evolutionary algorithms, EA_demo (http://
i4ai.org/EA-demo/). He has been granted 10 patents and has published 270
papers, one of which is among the IEEE
TSMC-B's Top 5 and another the IEEE
TCST's Most Popular every month.
Prof. Li is a Fellow of the Royal
Society of Arts in the U.K. and co-led
U.K.'s key programme "Industrial Systems in the Digital Age". He is an Associate E ditor of the IE E E TEV C,
TNNLS, and TETCI, and chaired the
U.K. funding council's "Looking
Beyond Industry 4.0" conference in
Glasgow in 2017.
Xiaodong Li
RMIT University, AUSTRALIA
for contributions to large-scale and particle
swarm optimization.
Xiaodong Li is currently a professor of
Artificial Intelligence
with the School of
Science (Computer
Science and Software
Engineering discipline) at RMIT University, Melbourne,
Australia. He leads an interdisciplinary
research group on Evolutionary Computation and Machine Learning (ECML).
He received a B.Sc. from Xidian University, China, and a Ph.D. in Artificial Intelligence from Otago University, New
Zealand, in 1988 and 1997 respectively.
He was with Charles Sturt University
and then Monash University from 1997
to 2000 and joined RMIT University
since 2001. He was a visiting research fellow at CERCIA, University of Birmingham, UK, from July to September 2008.
His research interests include machine
learning, evolutionary computation, data
analytics, multiobjective optimization,
multimodal optimization, and swarm
intelligence. He is the recipient of 2013
ACM SIGEVO Impact Award and 2017

http://www.i4ai.org/EA-demo/ http://www.i4ai.org/EA-demo/

IEEE Computational Intelligence Magazine - May 2020

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