Computational Intelligence - February 2014 - 5

directs at Facebook is spread across
facilities in New York City, NY, Menlo
Park, CA, and London, UK and focuses
on bringing about major advances in
Artificial Intelligence. His current
interests include supervised and unsupervised methods for machine learning,
computer perception, mobile robotics,
computational neuroscience, and the
application of machine learning, statistics and applied mathematics to the
natural and social sciences. He has published 180 technical papers and book
chapters on these topics as well as on
neural networks, handwriting recognition, image processing and compression, and VLSI design.
His recent work on deep learning,
particularly the latest incarnation of the
convolutional net model, has become
very popular over the last few years, and
has been deployed in products and services by companies such as Microsoft,
NEC, Google, IBM, Baidu and others.
Applications range from document recognition, to image and video tagging,
filtering, and indexing, to human-computer interaction, speech recognition,
and time-series prediction.
Dr. LeCun has been on the editorial
board of IEEE PAMI, IEEE Trans. Neural Networks, and IJCV. He was program
chair of the IEEE Conference on
Computer Vision and Pattern Recognition (CVPR) in 2006, general chair
of the Learning Workshop from 1997
to 2012, and chair of the International
Conference on Learning Representations (ICLR) 2013 and 2014. He is on
the steering committee of the Courant
Institute of Mathematical Sciences, the
science advisory board of Institute for
Pure and Applied Mathematics, and is
the science advisory board chair of the
Neural Computation and Adaptive Perception program of the Canadian Institute for Advanced Research. He is
co-founder and advisor of a number of
technology startups in the areas of data
science, music technology, image analysis, and biometrics.
Neural Networks Pioneer Award
Jun Wang, Chinese University of Hong
Kong, HONG KONG

For significant contributions to neurodynamic
optimization and its engineering applications.
Jun Wang is a Professor and the Director of the Computational Intelligence
Laboratory in the
Department of
Mechanical and
Automation Engineering at the Chinese University of
Hong Kong. Prior to this position, he
held various academic positions at
Dalian University of Technology, Case
Western Reserve University, and University of North Dakota. He also held
various short-term visiting positions at
USAF Armstrong Laboratory (1995),
RIKEN Brain Science Institute (2001),
Chinese Academy of Sciences (2002),
Huazhong University of Science and
Technology (2006-2007), and Shanghai
Jiao Tong University (2008-2011) as a
Changjiang Chair Professor. Since 2011,
he is a National Thousand-Talent Chair
Professor at Dalian University of Technology on a part-time basis. He received
a B.S. degree in electrical engineering
and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his
Ph.D. degree in systems engineering
from Case Western Reserve University,
Cleveland, Ohio, USA. His current
research interests include neural networks and their applications. Leading his
research team, he developed many neurodynamic optimization models based
on several design principles and theoretically analyzed their properties. He also
applied neurodynamic optimization in
diversified areas such as control, robotics,
and data processing and storage. The
outcomes of his research resulted in
about 170 journal papers (100 in various
IEEE journals), 14 book chapters, 11
edited books, and numerous conference
papers in these areas. Besides being a
productive researcher, Prof. Wang is also
active in his professional services. He has
been an Associate Editor of the IEEE
Transactions on Cybernetics and its predecessor since 2013 and a member of the
editorial board or editorial advisory

board of Neural Networks since 2011 and
International Journal of Neural Systems
since 2006. He also served as an Associate Editor of the IEEE Transactions on
Neural Networks (1999-2009) and IEEE
Transactions on Systems, Man, and Cybernetics-Part C (2002-2005), as a guest
editor of special issues of European Journal of Operational Research (1996), International Journal of Neural Systems (2007),
Neurocomputing (2008), and International
Journal of Fuzzy Systems (2010, 2011).
He was an organizer of several international conferences such as the General
Chair of the 13th International Conference on Neural Information Processing
(2006) and the 2008 IEEE World Congress on Computational Intelligence. He
was an IEEE Computational Intelligence Society Distinguished Lecturer
(2010-2012) and served in many standing/technical committees such as the
President of Asia Pacific Neural Network Assembly (APNNA), IEEE Fellow
Committee and IEEE Computational
Intelligence Society Fellow and Awards
Committees, and currently is on the
Board of Governors of the IEEE Systems, Man and Cybernetics Society. He
is an IEEE Fellow, IAPR Fellow, and a
recipient of an IEEE Transactions on Neural Networks Outstanding Paper Award
a n d O u t s t a n d i n g A c h i eve m e n t
Award from Asia Pacific Neural
Network Assembly in 2011, among
other distinctions.
Fuzzy Systems Pioneer Award
Masaharu Mizumoto, Osaka ElectroCommunication University, and Fuzzy
Logic Systems Institute, JAPAN
For significant contributions to the foundations of fuzzy set theory.
D r. M i z u m o t o
received B.Eng.,
M.Eng. and Dr.Eng.
degrees in Electrical Engineer ing
from Osaka University in 1966,
1968 and 1971,
respectively. Also he studied as an Alexander von Humboldt Foundation Fellow

February 2014 | Ieee ComputatIonal IntellIgenCe magazIne

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