IEEE Computational Intelligence Magazine - February 2023 - 5

Chin-Teng Lin
IEEE CIS 2022Awards Committee Chair
Society
Briefs
University ofTechnology Sydney, AUSTRALIA
2023 IEEE CIS Awards
Neural Network Pioneer Awards
Donald C. Wunsch II,
Missouri University of Science and
Technology, USA
For contributions to unsupervised and reinforcement
learning.
Donald C. Wunsch
II (Fellow, IEEE)
received the B.S.
degree in applied
mathematics from
the University of
New Mexico, Albuquerque,
NM,
USA, the Jesuit
Honors Program from Seattle University,
Seattle, WA, USA, the Kellogg Graduate
Certificate of Nonprofit Management
from Northwestern University, Evanston,
IL, USA, the M.S. degree in applied
mathematics from the University of
Washington,Seattle,WA, USA, theM.B.
A. degree from Washington University,
St.Louis,MO, USA, andthe Ph.D.
degree in electrical engineering from the
University ofWashington. He is currently
theMary K. FinleyMissouri Distinguished
Professor with the Missouri University of
Science and Technology (Missouri S&T),
Rolla,Missouri.He is the inaugural Director
of the Kummer Institute Center for
Artificial Intelligence and Autonomous
Systems,MissouriS&T andDirectorof
the Applied Computational Intelligence
Laboratory. He was with Texas Tech,
Lubbock,TX,Boeing,Seattle,WA,
Rockwell International, Albuquerque,
NM, and International Laser Systems,
Albuquerque, NM. His research interests
include real-time learning, unsupervised
Digital Object Identifier 10.1109/MCI.2022.3223459
Date ofcurrent version: 13January 2023
learning, reinforcement learning, and their
applications. He was the recipient of the
International Neural Networks Society
(INNS) Fellow, NSF CAREER, INNS
Gabor Award, INNS Ada Lovelace
Award, and IEEE Neural Networks Pioneer
Award. He was INNS President,
IJCNNGeneral Chair, and on the St. Patrick's
School Board, IEEE Neural Networks
Council, INNS Board, and the
University of Missouri Bioinformatics
Consortium, chaired the Missouri S&T
Information Technology and Computing
Committee and the Student Design and
Experiential Learning Center Board. He
was also the Program Director with the
National Science Foundation 2021 -
2022. He produced 23 Ph.D. recipients of
computer engineering, electrical engineering,
systems engineering, and computer
science.
Fuzzy Systems Pioneer Award
Hao Ying,
Wayne State University, USA
For fundamental contributions to model-free
fuzzy control theory and its biomedical
applications.
Hao Ying (Fellow,
IEEE) received
the B.S. and
M.S. degrees in
electrical engineering
from Donghua
University
(formerly, China
Textile University),
Shanghai, China, in February 1982
and 1984, respectively, and the Ph.D.
degree in biomedical engineering
from The University of Alabama at Birmingham,
Birmingham, AL, USA, in
1990. He is currently a Professor with the
Department of Electrical and Computer
Engineering, Wayne State University,
Detroit, MI,USA.
He began researching fuzzy control
in 1981 when it was very young. The
field's common practice back then was
to empirically construct and experimentally
investigate a fuzzy controller
using the intuitive linguistic-rule-based,
model-free approach pioneered by E.H.
Mamdani in 1974. While practically
useful, this approach often required significant
trial-and-error and also resulted
in a blackbox controller, making it
impossible to precisely and fully understand
how and why it worked, let alone
rigorously analyze or systematically
design it. This and other related weaknesses
and issues made fuzzy control
highly controversial and poorly perceived
by academic control communities
in the 1980s and 90s. Through
extensive research and publications, Professor
Ying not only created an innovative
and rigorous mathematical modelfree
fuzzy control theory, but also demonstrated
its practical value by showing
how to apply the theory to challenging
real-world biomedical problems. One of
the applications is his 1989 real-time
fuzzy controller for controlling hypertension
in patients recovering from
open-heart surgery in the Cardiac Surgical
Intensive Care Unit in Birmingham,
which is the world's first attempt on
fuzzy control in clinical medicine.
He has authored one single-author
book entitled Fuzzy Control and Modeling:
Analytical Foundations and Applications
(IEEE Press, 2000, 342 pages; foreword
by Professor Lotfi A. Zadeh), which
comprehensively presents his theory, and
also coauthored a 2014 book titled
FEBRUARY 2023 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 5
https://orcid.org/0000-0001-8371-8197
IEEE Computational Intelligence Magazine - February 2023

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