Computational Intelligence - May 2013 - 7

His research interests center around
the study of cognition, especially in the
areas of cognitive architectures, human
reasoning and learning, cognitive social
simulation, and hybrid connectionistsymbolic models. He published many
papers in these areas, as well as nine
books, including: "Duality of the Mind"
and "Cambr idge Handbook of
Computational Psychology." For his
paper on integrating rule-based and connectionist models for accounting for
human everyday reasoning, he received
the 1991 David Marr Award from
Cognitive Science Society. For his work
on understanding human skill learning,
he received the 2008 Hebb Award from
International Neural Network Society.
His early major contribution was in
hybrid connectionist-symbolic models.
His 1995 "Artificial Intelligence" paper
has demonstrated that the integration of
symbolic and connectionist processes can
capture complex human reasoning. He
has furthermore made seminal contributions to advancing hybrid cognitive architectures and their applications to understanding human cognition/intelligence.
His 2001 "Cognitive Science" paper
addressed for the first time the cognitive
phenomenon of "bottom-up learning".
His 2005 "Psychological Review" paper
proposed a framework that centered on
the interaction of implicit and explicit
cognitive processes (computationally, with
connectionist and symbolic representations). The latter article was the first successful attempt at accounting for a wide
range of cognitive phenomena that up to
that point had not been adequately captured either psychologically or in computational systems. His recent paper in
Psychological Review presents the most
comprehensive and integrative theory of
human creativity based on a dual representational framework. This theory and its
resulting model account for a wide variety of empirical data and phenomena, and
point to future intelligent systems capable
of creativity. These models, theories, and
methods are of fundamental importance
for understanding human cognition/
intelligence, and have significant implications for developing future computational
intelligence systems.

He is the founding co-editor-in-chief
of the journal Cognitive Systems Research,
and serves on the editorial boards of many
other journals. He chaired a number of
major international conferences, including
CogSci and IJCNN. He is a member of
the Governing Boards of Cognitive Science Society and International Neural
Networks Society, and served as President
of International Neural Networks Society
for a two-year term (2011-2012). His
Web URL is http://sites.google.com/
site/drronsun where one may find further
information about his work.
Andrzej Cichocki, RIKEN Brain
Science Insitute, JAPAN, and Warsaw
University of Technology, POLAND

for contributions to applications of blind signal processing and artificial neural networks
Prof . Andrzej
Cichocki received
the M.Sc. (with
honors), Ph.D. and
Dr.Sc. (Habilitation) degrees, all in
electrical engineering from Warsaw
University of Technology (Poland). Since
1976, he has been with the Institute of
Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering at the
Warsaw University of Technology, where
he became a full Professor in 1995. He
spent several years at University Erlangen-Nuerenberg (Germany) as an Alexander-von-Humboldt Research Fellow
and Guest Professor. In 1995-1997 he
was a team leader of the Laboratory for
Artificial Brain Systems, at Frontier
Research Program RIKEN (Japan), in
the Brain Information Processing Group.
He is currently a Senior Team Leader
and Head of the laboratory for Advanced
Brain Signal Processing, at RIKEN Brain
Science Institute (JAPAN). He has given
keynote and tutorial talks at international
conferences in Computational Intelligence and Signal Processing and served
as member of program and technical
committees (EUSIPCO, IJCNN, ICA,
ISNN, ICONIP, ICAISC, ICASSP). He

has coauthored more than 400 papers in
international journals and conferences
and 4 monographs in English (two of
them translated to Chinese): "Nonnegative Matrix and Tensor Factorizations:
Applications to Exploratory Multi-way
Data Analysis," John Wiley-2009; "Adaptive Blind Signal and Image Processing"
(coauthored with Professor Shun-ichi
Amari; Wiley, April 2003-revised edition), "CMOS Switched-Capacitor and
Continuous-Time Integrated Circuits
and Systems" (coauthored with Professor
Rolf Unbehauen; Springer-Verlag, 1989)
and "Neural Networks for Optimizations and Signal Processing" (WileyTeubner1994). He serves/served as an
Associated Editor of IEEE Transactions on
Neural Networks, IEEE Transactions on Signals Processing, Journal of Neurosciemce
Methods and as founding Editor in Chief
for Journal Computational Intelligence and
Neuroscience. Currently, his research focus
on tensor decompositions, multiway
blind sources separation, brain machine
interface, human robot interactions,
EEG hyper-scanning, brain to brain
interface and their practical applications.
His publications currently report over
18,700 citations according to Google
Scholar, with an h-index of 58 and
i10-index 250.
Zhi-Hua Zhou,
Nanjing University, CHINA

for contributions to learning systems in data
mining and pattern recognition
Zhi-Hua Zhou
received B.Sc., M.
Sc. and Ph.D. in
computer science
from Nanjing University in 1996,
1998 and 2000,
respectively, all with
the highest honor. He joined the Department of Computer Science and Technology of Nanjing University in 2001, and
currently he is a Professor and Deputy
Director of the National Key Laboratory
for Novel Software Technology.
Dr. Zhou is actively pursuing research
in the field of machine learning, data

may 2013 | IEEE ComputatIonal IntEllIgEnCE magazInE

7


http://sites.google.com/ http://www.M.Sc http://www.Dr.Sc http://www.B.Sc

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