IEEE Computational Intelligence Magazine - May 2021 - 8

women in computer science. She has
given numerous keynotes, distinguished
lectures and invited talks at top conferences, universities and companies. She
has recently given keynotes and talks
on " Responsible Data Science " at
SIGMOD 19, IEEE Big Data 19,
ScaledML 19, and talks on Ethics and
Data Science at NSF workshops on
Teaching Data Science Ethics, and the
Global Forum on AI for Humanity. She
received her PhD from Stanford University in 2001, her MS from UC Berkeley,
and her BS from UC Santa Barbara, and
was a professor at the University of
Maryland, College Park from 2001-2013.

puter Science, and the deputy director
of information science department,
Chongqing University. He also is Director of Key Laboratory of Ministry of
Education at Chongqing University.
Professor Liao is associate editor for
IEEE Transaction on Cybernetics and
IEEE Transaction on Neural Network
and Learning Systems, and Professor
Liao holds 4 patents, and published
4 books and over 300 international
journal and conference papers. He is
Member at Large of ACM China and
Vice-Chairman of IEEE Computational
Intelligence Society Chapter of
Chongqing, China.

Xiaofeng Liao
Chongqing University, CHINA
for contributions to neurodynamic systems
and chaotic cryptography.
Xiaofeng Liao is a
professor at the College of Computer
Science, Chongqing
University, China. He
was also a Changjiang
Distinguished Professor of the Ministry of Education of China.
He received his BS and MS degrees in
computing mathematics from Sichuan
University, Chengdu, China, in 1986
and 1992, respectively, and the PhD
degree in circuits and systems from the
University of Electronic Science and
Technology of China in 1997. From
May 1999 to July 2012, he was a professor at Chongqing University. From January 2013 to November 2018, he was a
professor and the Dean of College of
Electronic and Information Engineering, Southwest University. From
November 1997 to April 1998, he was a
research associate at the Chinese University of Hong Kong. From October
1999 to October 2000, he was a
research associate at the City University
of Hong Kong. From March 2001 to
June 2001 and March 2002 to June
2002, he was a senior research associate
at the City University of Hong Kong.
From March 2006 to April 2007, he was
a research fellow at the City University
of Hong Kong. At present, he was a professor and the Dean of College of Com-

Jose A. Lozano
University of the Basque Country
UPV/EHU, SPAIN
for contributions to the estimation of distribution algorithms in evolutionary computation.
Jose A. Lozano is currently scientific director
of the Basque Center
for Applied Mathematics (BCAM, Bilbao, Spain) and full
professor with the
School of Computer Science at the University of the Basque Country UPV/
EHU (Donostia, Spain). Prof. Lozano
received the BA degrees in Mathematics
and Computer Science in 1990 and
1991 respectively and the PhD degree
in 1998 all from the University of the
Basque Country UPV/EHU. His
research interests focus on artificial intelligence, and particularly heuristic optimization, machine lear ning and
probabilistic graphical models, and its
application to the solution of different
real problems in biology, medicine and
ecology, to name a few. He pioneered
the use of machine learning methods in
the field of evolutionary computation.
Jose A. Lozano has published more
than 130 JCR papers which has
received about 14100 citations (google
scholar) for an h-index of 49 and has
supervised 21 PhD thesis. Jose A. Lozano
is a member of the editorial board of 8
journals, particularly the main journals
of his research fields such as IEEE Trans.
on Neural Networks and Learning Sys-

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2021

tems and IEEE Trans. on Evolutionary
Computation. In addition he has contributed to the most important congresses of the area, being for instance the
general chair of IEEE Congress on Evolutionary Computation 2017. Finally he
was for several years, the chair of the
task force on Evolutionary Algorithms
based on Probabilistic Models.
Bao-Liang Lu
Shanghai Jiao Tong University,
CHINA
for contributions to artificial neural networks
and affective brain-computer interfaces.
Bao-Liang Lu received
the B.S. degree in
instrument and control engineering from
the Qingdao University of Science and
Technology, Qingdao,
China, in 1982, the M.S. degree in computer science and technology from Northwestern Polytechnical University, Xi'an,
China, in 1989, and the Dr. Eng. degree in
electrical engineering from Kyoto University, Kyoto, Japan, in 1994. He was with the
Qingdao University of Science and Technology from 1982 to 1986. From April
1994 to March 1999, he was a Frontier
Researcher at the Bio-Mimetic Control
Research Center, the Institute of Physical
and Chemical Research (RIKEN), Japan.
From April 1999 to August 2002, he
joined the RIKEN Brain Science Institute,
Japan, as a research scientist. Since August
2002, he has been a full professor at the
Department of Computer Science and
Engineering, Shanghai Jiao Tong University, China.
Prof. Lu is currently Directors of the
Center for Brain-Like Computing and
Machine Intelligence and the Key Laboratory of Shanghai Education Commission for Intelligent Interaction and
Cognitive Engineer ing, Executive
Director of Qing Yuan Research Institute, Shanghai Jiao Tong University,
and Co-director of the Center for BrainMachine Interface and Neuromodulation, RuiJin Hospital, Shanghai Jiao
Tong University School of Medicine.
His research interests include brainlike computing, neural networks, deep

IEEE Computational Intelligence Magazine - May 2021

Table of Contents for the Digital Edition of IEEE Computational Intelligence Magazine - May 2021