IEEE Computational Intelligence Magazine - May 2023 - 10

Optimization for Smart Industry, Ministry
ofEducation, China, and the Director
and Chair Professor of the National
Frontiers Science Center for Industrial
Intelligence and Systems Optimization,
Northeastern University. He is also a
member of the discipline review group
ofthe State Council for Control Science
and Engineering, the Deputy Director
of Artificial Intelligence Special Committee
in Science and Technology
Commission, Ministry of Education,
China, Chief Expert in optimization
algorithms and software decision-making
advisory panel of China Association
for Science and Technology, the Vice
President ofChinese Society for Metals,
the Vice President of Operations
Research Society of China (ORSC),
and the Founding Director ofData Analytics
and Optimization Society for
Smart Industry ofORSC.
His research interests cover industrial
intelligence and systems optimization
theories and methods, covering industrial
Big Data, data analytics and
machine learning, deep learning and
evolutionary learning, reinforcement
learning and dynamic optimization,
convex and sparse optimization, integer
and combinatorial optimization, and
computational intelligence-based optimization.
For technologies, he mainly
investigates on systems optimization
technology for plant-wide production
and inventory planning, production and
logistics batching and scheduling, process
optimization and optimal control;
quality analytics technology such as process
monitoring, equipment diagnosis,
and product quality perception; industrial
intelligence technology such as
image and speech understanding and
visualization. Meanwhile, he applies the
above theories and technologies to
engineering applications in steel
manufacturing industry, equipment/
chip manufacturing industry, energy
industry, logistics industry, and information
industry.
He currently serves as an Associate
Editor ofIISE Transactions, IEEE Transactions
on Evolutionary Computation,
IEEE Transactions on Cybernetics, Journal
of Scheduling, International Journal
of Production Research, and Journal of
the Operational Research Society.
Meanwhile, he is on the Editorial Board
of Annals of Operations Research, and
serves as an Area Editor of Asia-Pacific
Journal ofOperational Research.
Hong Wang
Oak Ridge National Laboratory,
USA
University ofManchester, U.K.
For contributions to learning control and
diagnosisfor complex dynamical systems.
Hong Wang has
been a senior distinguished
scientist
at Oak Ridge
National Laboratory,
US Department
of Energy
since 2019 (https:
//www.ornl.gov
/staff-profile/hong-wang-0). He is a
chair professor (Emeritus) with the University
of Manchester (U.K.) and has
been a fellow of IET and InstMC since
2005, and is also an AIAA fellow.
Hong Wang received the B.Sc.,
M.Sc. and Ph.D. degrees from
Huainan University of Mining Engineering,
and Huazhong University of
Science and Technology in China, in
1982, 1984 and 1987, respectively. He
was a Research Fellow with Salford,
Brunel and Southampton Universities
(U.K.) before joining the University
of Manchester Institute of Science and
Technology (UMIST), in 1992. He
has been a Chair Professor since 2002,
where he was the Deputy Head of
the Paper Science Department, Director
of the UMIST Control Systems
Centre, which is the birthplace of
Modern Control Theory established in
1966.
From 2016 to 2018, he was with
Pacific Northwest National Laboratory
as a Lab Fellow and Chief Scientist,
leading the Control of Complex Systems
Initiative. His research focuses on
stochastic distribution control using
learning neural networks, fault diagnosis
and tolerant control, and intelligent
controls with applications to complex
system areas, and has published more
than 200 journal papers and 6 books.
Indeed, Professor Wang originated stochastic
distribution control theory using
neural networks in 1996 where the
control objective to achieve output
probability density functions control.
This new theory has found a wide-spectrum
of applications in uncertain systems
optimization, data mining,
filtering. As a result, he has received
numerous awards including the top
prize in the paper industry (i.e., Jasber
Mardon Memorial Prize).
He is an Associate Editor of IEEE
Transactions on Neural Networks and
Learning Systems and a member for
three Technical Committees of International
Federation of Automatic Control.
He was an Associate Editor for
IEEE Transactions on Automatic Control,
IEEE Transactions on Control
Systems Technology, and IEEE Transactions
on Automation Science and
Engineering, and UKACC executive
cttee member.
10 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2023
IEEE Computational Intelligence Magazine - May 2023

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