Computational Intelligence - May 2017 - 13

Gary Yen
IEEE CIS 2016 Fellow Committee
Chair, USA

IEEE Fellows-Class of 2017
Zixing Cai
Central South University, CHINA
For contributions to evolutionary optimization and intelligent robotics.
Zixing Cai is a Professor in AI and Intelligent Robotics
with the School of
Information Science
and Eng ineer ing,
Central South University, China. He was a Visiting Professor with the Rensselaer Polytechnic
Institute, USA during 1992-1993, Visiting Professor with the Technical University of Denmark, Denmark in 2007.
He graduated from Xi'an Jiao Tong
University, Xi'an, China in 1962. He
was a postdoctoral researcher in Purdue
University, West Lafayette, Indiana, USA
during 1983-1985, a visiting scholar in
University of Nevada at Reno in 1983,
and a visiting scientist in Chinese Academy of Sciences and Beijing University
during 1988-1990, a senior visiting scientist in St. Petersburg Institute of
Automation and Informatics, Russian
Academy of Sciences in 2004. He
became an UN expert granted by
UNIDO in 1989, Member of the New
York Academy of Sciences in 1998, Fellow of the International Academy of
Navigation and Motion Control in
2005, Member of IEEE CIS Awards
Committee and Member of IEEE CIS
Evolutionary Computation Technical
Committee since 2015. He was the
CAAI Vice President (1993-2005),
Founding President of the CAAI Intelligent Robotics Society (1993-2002),
Director of Chinese Association of
Automation (1996-2013), Director of
Society of AI and Pattern Recognition,
CCF (since 1998), Member of InternaDigital Object Identifier 10.1109/MCI.2017.2670423
Date of publication: 10 April 2017

tional Association for Intelligent Automation (1996-1997). He was awarded
as State Eminent Educator of China in
2003, won Wu Wenjun Prize, the highest AI S&T prize in China in 2014. He
proposed "Robot planning expert system" in 1985; Created "Four-element
structure theory of intelligent control"
in 1989; Proposed a prototype of evolutionary control in 1999; Jointly presented
C-W, CoDE and HCOEA algorithms
based on evolutionary computation
since 2005. He has published more than
40 books and over 1000 papers, in
which AI and Its Applications won the
First Prize of S&T, and Robotics won the
First Prize of Outstanding Textbooks
both by China Ministry of Education,
and Yong Wang, the Ph.D. student he
supervised won the 2015 IEEE CIS
Outstanding Dissertation Award.
Pablo A. Estévez
University of Chile, CHILE
For contributions to feature selection and
visualization of large data sets.
Pablo A. Estévez
received his professional title in electrical engineering (EE)
from Universidad de
Chile, in 1981, and
the M.Sc. and Dr.
Eng. degrees from the University of
Tokyo, Japan, in 1992 and 1995, respectively. He is a Full Professor with the
Electrical Engineering Department,
Universidad de Chile, and former
Chairman of the EE Department in the
period 2006-2010.
Prof. Estévez is one of the founders
of the Millennium Institute of Astrophysics (MAS), Chile, which was created in January 2014. He is currently
leading the Astroinformatics/Astrostatistics group at MAS. He has been an
Invited Researcher with the NTT

Communication Science Laboratory,
Kyoto, Japan; the Ecole Nor male
Supérieure, Lyon, France, and a Visiting
Professor with the University of Tokyo.
Prof. Estévez is currently the President of the IEEE Computational Intelligence Society (CIS) for the term
2016-2017. He has served as IEEE CIS
President-elect (2015), CIS Vice-president of Members Activities (2011-
2014), CIS ADCOM Member-at-Large
(2008-2010), CIS Distinguished Lecturer (2006-2011) and as an Associate
Editor of the IEEE Transactions on
Neural Networks (2007-2012).
Prof. Estévez served as conference
chair of the International Joint Conference on Neural Networks (IJCNN),
held in July 2016, in Vancouver, Canada,
and general chair of the Workshop on
Self-Organizing Maps (WSOM), held
in December 2012, in Santiago, Chile.
Currently he is serving as general cochair of the 2018 IEEE World Congress
on Computational Intelligence, WCCI
2018, to be held in Rio de Janeiro, Brazil, July 2018.
His current research interests include
big data, deep learning, neural networks,
self-organizing maps, data visualization,
feature selection, information theoreticlearning, time series analysis, and advanced
signal and image processing. One of his
main topics of research is the application of computational intelligence techniques to astronomical datasets, and
EEG signals.
Saman Halgamuge
Australian National University,
AUSTRALIA
For contributions to computational intelligence in bioinformatics and mechatronics.
Saman Halgamuge has recently
joined Australian National University as
Professor and the Director/Head, Research School of Engineering. He holds

maY 2017 | IEEE ComputatIonal IntEllIgEnCE magazInE

http://www.M.Sc

Table of Contents for the Digital Edition of Computational Intelligence - May 2017