IEEE Computational Intelligence Magazine - May 2022 - 10

For contributions
to large-scale machine
learning and transfer learning.
Prof Ivor W Tsang is
Director of A*STAR
Centre for Frontier
AI Research (CFAR),
which aims to advance
use-inspired basic
research in AI within
the broader scientific community of Singapore.
Prior to this, he was Professor
and Research Director of the Australian
Artificial Intelligence Institute (AAII),
which is the key player to drive the
University of Technology Sydney to
rank 10th globally and 1st in Australia
for AI research, in the latest AI Research
Index. His research focuses on transfer
learning, learning with weakly supervision,
big data analytics for data with
extremely high dimensions in features,
samples and labels. In 2022, Prof Tsang
was conferred the IEEE grade of Fellow
for his outstanding contributions to
large-scale machine learning and transfer
learning.
Besides IEEE Fellow, Prof Tsang
received his ARC Future Fellowship
2013 for his outstanding research on big
data analytics and large-scale machine
learning. In 2019, his Journal of Machine
Learning Research paper titled " Towards
ultrahigh dimensional feature selection
for big data " received the International
Consortium of Chinese Mathematicians
Best Paper Award. In 2020, he was recognized
as the AI 2000 AAAI/IJCAI
Most Influential Scholar in Australia for
his outstanding contributions to the field,
between 2009 and 2019. His research on
transfer learning was awarded the Best
Student Paper Award at CVPR 2010
and the 2014 IEEE TMM Prize Paper
Award. In addition, he received the
IEEE TNN Outstanding 2004 Paper
Award in 2007 for his innovative work
on solving the inverse problem of nonlinear
representations.
Prof Tsang also serves as the Editorial
Board for the Journal of Machine
Learning Research, Machine Learning,
Journal of Artificial Intelligence
Research, IEEE Transactions on Pattern
Analysis and Machine Intelligence,
IEEE Transactions on Artificial Intelligence,
IEEE Transactions on Big Data,
and IEEE Transactions on Emerging
Topics in Computational Intelligence.
He serves as a Senior Area Chair/Area
Chair for NeurIPS, ICML, AAAI and
IJCAI, and the steering committee
of ACML.
Chunhua Yang
Central South University, CHINA
For contributions in intelligent control
and optimization of complex industrial
processes.
Chunhua Yang
received the B.Sc. and
M.Sc. degrees in automatic
control engineering
and the Ph.D.
degree in control science
and engineering
from Central South University, Changsha,
China, in 1985, 1988 and 2002, respectively.
From 1999 to 2001, she was a Visiting
Professor at the University of Leuven,
Leuven, Belgium. Since 1999, she has
been a Full Professor with the School of
Automation, Central South University.
From 2009 to 2010, she was a Senior Visiting
Scholar at the University of Western
Ontario, London, Canada. Since 2019,
she has been the Dean of School of
Automation, Central South University.
She is Fellow of Chinese Association
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of Automation and a vice-chair of the
IFAC Technical Committee on Mining,
Mineral and Metal Processing. She serves
as an associate editor for several publications,
including IEEE Transactions on
Industrial Electronics, IEEE/ASME
Transactions on Mechatronics. She has
published four monographs and more
than 150 papers in international refereed
journals. Her current research interests
include modeling and optimal control of
complex industrial processes, online perception
and intelligent systems.
10 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2022
http://www.ieee.org/mgm
IEEE Computational Intelligence Magazine - May 2022

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