MAY 2010 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 7

Oscar Cordón

University of Granada, SPAIN

Oscar Cordón has

been for 15 years

an internationally

recognized con-

tributor to R&D

Programs in soft

computing (espe-

cially in fuzzy sys-

tems, evolutionary algorithms, and ant

colony optimization and other meta-

heuristics). He received his Ph.D. (1997)

in Computer Science from the Universi-

ty of Granada, Spain, where he has been

an assistant professor since 1995 and asso-

ciate professor since 2001. He was the

founder and leader of the Virtual Learn-

ing Center (CEVUG) between 2001 and

2005, and was awarded with the Young

Researcher Career Award in 2004. Since

April 2006, he is the Principal Research-

er of the “Applications of Fuzzy Logic

and Evolutionary Algorithms” research

unit at the European Centre for Soft

Computing, located in Mieres, Spain. In

December, 2008, he received the Full

Professor accreditation from the Spanish

Quality Evaluation Agency.

He has published 220 peer-reviewed

scientific publications, including a co-au-

thored book on genetic fuzzy systems

and 48 SCI-JCR-indexed journal papers.

By December 14th 2009, his publica-

tions had received 1117 citations, he had

an h-index of 18, and he was included in

the 1% of the most cited researchers in

the world (source: Thomson’s Web of

Knowledge; h-index=28 in Google

Scholar). He has participated in 29

national and European research projects

and contracts, having coordinated 16 of

them. Dr. Cordón is an associate editor

of two SCI-JCR-indexed journals (IEEE

TFS and IJAR) and of a new one

launched by Willey (WIRE DMKD), as

well as editorial board member of four

other journals. He has supervised 11

PhD dissertations. He has also edited 7

special issues of international journals

and 3 research books. He has organized 4

international workshops and conferences,

and 10 special sessions in conferences.

He is member of the Fuzzy Systems

TC, IEEE Computation Intelligence

Society (CIS) since 2004. In that year,

he created the Genetic Fuzzy Systems

TF and chaired it until 2007. He has

been the general co-chair of two of the

four International Workshops organized

by that TF (GFS2005 and GEFS2010),

all of them technically co-sponsored by

the IEEE CIS. He is also a member of

the Future Directions in Fuzzy Sets and

Systems TF, the Standards Technical

Committee, and the Graduate Student

Research Grants sub-committee. An

IEEE TFS Associate Editor (AE) since

2008, he was recognized as Outstanding

AE during his first year of service. He

served as Publicity co-chair of the IEEE

SCCI 2009 and as Special Sessions co-

chair of the CEC for WCCI2010. He

has recently been elected as IEEE CIS

AdCom member for the period 2010–

2012. Besides, he was member of the

Eusflat board (Treasurer) from 2005 to

2007 and he is the Calls Manager in the

new Board (2009–2011). He has been

Finance co-chair of the 2009 IFSA-

Eusflat Joint Conference and Area Chair

for Evolutionary Algor ithms in

IPMU2010. Moreover, he is a member

of the IPC of more than 90 conferences

and frequently acts as a reviewer for

more than 25 international journals.

His current main research interests

are in the fields of soft computing for

forensic anthropology and medical

imaging; genetic fuzzy systems; soft

computing and visual science maps; and

evolutionary computation, ant colony

optimization and other metaheuristics.

Robert Kozma

The University of Memphis, USA

Dr. Robert Kozma is William Dunavant

University Professor of Mathematics,

Director of Center

for Large-Scale

Integrated Optimi-

zation and Net-

works (CLION),

FedEx Institite of

Technology, the

U n ive r s i t y o f

Memphis. He is also affiliated with the

US Air Force Research Laboratory, Sen-

sors Directorate. He holds graduate

degrees in Mathematics (Eotvos Univer-

sity, Hungary), Engineering (Moscow

Institute of Energy, Russia), and PhD

Physics (Delft University of Technology,

The Netherlands). He has been Associ-

ate Professor at the Department of

Quantum Science & Engineer ing,

Tohoku University (Sendai, Japan), Lec-

turer with the Department of Informa-

tion Sciences, Otago University

(Dunedin, New Zealand), and held visit-

ing positions with the Neuroscience

Division MCB and the Computer Sci-

ence Division of the EECE at the Uni-

versity of California at Berkeley (USA).

Dr. Kozma has over 25 years of

research experience in advanced signal

processing, and in design, analysis, and

control of intelligent systems, with

emphasis on mathematical modeling of

neural dynamics. Research in his Labo-

ratory in Memphis has been extensively

funded by US Air Force Research Lab-

oratory, Jet Propulsion Research Labo-

ratory, National Research Council,

NASA Revolutionary Computing Pro-

gram, NSF Biological Information

Technology and Cognitive and Behav-

ioral Programs. He has held visiting

positions at UC Berkeley, Lawrence

Berkeley National Laboratory, NASA/

JPL, Sarnoff Co., Princeton, NJ, AFRL

Hanscom AFB, MA. He has published

7 books, about 200 articles in interna-

tional journals and peer-reviewed con-

ference proceedings. His recent book

“Handbook of Large-Scale Random

Networks,” co-edited by Bela Bollobas,

and Dezso Miklos is published in

Newly Elected CIS Administrative Committee Members (2010–2012)

Digital Object Identifier 10.1109/MCI.2010.936317

Gary G. Yen Oklahoma State University, USA

8 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | MAY 2010

Bolyai Mathematics Series, by Springer

Verlag, 2009.

Dr. Kozma is active member of the

computational intelligence community,

and served in various capacities in IEEE

organizations. He has been elected to

AdCom of IEEE CIS (2009–2012) and

has served as member of the Neural Net-

work Technical Committee since 1996.

Presently he chairs the Distinguished

Lecturers program; he has chaired the

Standards Technical Committee of CIS

(2008–2009). He has been Program Co-

Chair of IJCNN04; Chair for Finances/

Treasurer of IEEE WCCI2006; Program

Co-Chair of IJCNN08 at WCCI08 in

Hong Kong. He has been General Chair

of IJCNN09, Atlanta, GA, June 15–19,

2009. He also serves on the Board of

Governors of the International Neural

Network Society INNS, re-elected 3

times since 2004. He has been Associate

Editor of ‘IEEE Transactions on Neural

Networks (2006–2009),’ ‘Neurocomput-

ing’, Neural Networks, Soft Computing,

‘Journal of Computational Neurody-

namics’, Area Editor of ‘New Mathemat-

ics and Natural Computation,’ ‘Cognitive

Systems Research.’

Nikhil Pal

Indian Statistical Institute, INDIA

Nikhil R. Pal is a

Professor in the

Electronics and

Communication

Sciences Unit of the

Indian Statistical

Institute. He has also

served as a Chair

Professor at the National Chiao Tung

University, Taiwan and as a visiting profes-

sor at other universities. He has coau-

thored, edited/co-edited several books.

His current research interest includes bio-

informatics, brain science, fuzzy logic,

image and pattern analysis, neural net-

works, and evolutionary computation.

He serves on the editorial/advisory

board/ steering committee of several

journals including the International Journal

of Approximate Reasoning, Applied Soft Com-

puting, Neural Information Processing—Letters

and Reviews, International Journal of Knowl-

edge-Based Intelligent Engineering Systems,

International Journal of Neural Systems,

Fuzzy Sets and Systems, International Journal

of Intelligent Computing in Medical Sciences

and Image Processing, Fuzzy Information and

Engineering: An International Journal, and

the IEEE Transactions on Systems Man and

Cybernetics—B. He has been serving as

the Editor-in-Chief of the IEEE Transac-

tions on Fuzzy Systems since 2005.

He has given many plenary/keynote

speeches in different premier interna-

tional conferences in the area of compu-

tational intelligence. He was the

president of the Asia Pacific Neural Net

Assembly. He was the Program Chair of

the 4th International Conference on Advanc-

es in Pattern Recognition and Digital Tech-

niques, December 1999, Calcutta, India

and was a co-program chair of 2005

IEEE International Conference on Fuzzy

Systems and 2006 IEEE International

Conference on Fuzzy Systems. He was the

General Chair of 2002 AFSS Interna-

tional Conference on Fuzzy Systems, Cal-

cutta, 2002 and the 11th International

Conference on Neural Information Processing,

ICONIP 2004.

At present he is an elected Adcom

member of the IEEE Computational

Intelligence Society (CIS) and is an

IEEE CIS Distinguished Lecturer. He is

a Fellow of the of the Institute of Elec-

trical and Electronics Engineers (IEEE),

a Fellow of the International Fuzzy Sys-

tems Association (IFSA), a Fellow of the

National Academy of Sciences, India,

and a Fellow of the Indian National

Academy of Engineering.

Jose Principe

University of Florida, USA

Jose C. Principe is

Distinguished Pro-

fessor of Electrical

and Biomedical

Engineering at the

University of Flor-

ida, Gainesville,

where he teaches

advanced s ignal process ing and

machine learning. He is BellSouth

Professor and Founder and Director of

the University of Florida Computa-

tional Neuro-Engineering Laboratory

(CNEL). He is involved in biomedical

signal processing, in particular Brain

Machine Interfaces and the modeling

and applications of cognitive systems.

He has authored 4 books and more

than 160 publications in refereed jour-

nals, and over 350 conference papers.

He has directed over 60 Ph.D. disserta-

tions and 61 Master’s degree theses.

Dr. Principe is an IEEE and AIMBE

Fellows and a recipient of the IEEE

Engineering in Medicine and Biology

Society Career Achievement Award. He

is also a former member of the Scien-

tific Board of the Food and Drug

Administration, and a member of the

Advisory Board of the McKnight Brain

Institute at the University of Florida.

He is Editor in Chief of the IEEE

Reviews on Biomedical Engineering,

Past Editor-in-Chief of the IEEE Trans-

actions on Biomedical Engineering,

Past President of the International

Neural Network Society, and former

Secretary of the Technical Committee

on Neural Networks of the IEEE Sig-

nal Processing Society.

Lipo Wang

Nanyang Technological University,

SINGAPORE

L i p o Wa n g ’ s

research interest

includes computa-

tional intelligence

and chaos, with

applications to data

mining, bioinfor-

matics, and optimi-

zation. He is author or co-author of over

75 journal publications, 15 book chap-

ters, and 110 conference presentations.

He holds a U.S. patent in neural net-

works. He has authored 2 monographs

and edited 15 books. He was keynote/

panel speaker for several international

conferences. He is presently on the infor-

mation engineering faculty at Nanyang

Technological University, Singapore

(home page: http://www3.ntu.edu.sg/

home/elpwang/).

He is Associate Editor of IEEE

Transactions on Knowledge and Data

Engineering and Area Editor of the Soft

Computing journal, as well as Editorial

Board Member of 19 additional

MAY 2010 | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE 9

international journals. He was Associ-

ate Editor of IEEE Transactions on

Neural Networks and IEEE Transactions

on Evolutionary Computation for many

years. He is elected to the AdCom

(2010–2012) of the IEEE Computa-

tional Intelligence Society (CIS) and

served as IEEE CIS Vice President for

Technical Activities (2006–2007) and

Chair of Emergent Technologies

Technical Committee (2004–2005). He

was President of the Asia-Pacific Neu-

ral Network Assembly (APNNA) in

2002/2003 and received the 2007

APNNA Excellent Service Award. He

was Founding Chair of both the IEEE

Computational Intelligence Singapore

Chapter and IEEE Engineering in

Medicine and Biology Singapore

Chapter. He serves/served as IJCNN

2010 Technical Co-Chair, CEC 2007

Program Co-Chair, IJCNN 2006 Pro-

gram Chair, as well as on the steering/

advisory/organizing/program commit-

tees of over 160 international confer-

ences. The annual ICNC-FSKD

conference on natural computation

and knowledge discovery that he

founded in 2005 attracts over 3000

submissions each year.

IEEE Fellows—Class of 2010

Nikola Kirilov Kasabov

Auckland University of Technology,

NEW ZEALAND

For the applications of neural networks and

hybrid systems in computational intelligence.

Professor Nikola

Kasabov i s the

D i r e c t o r a n d

Founder of the

K n o w l e d g e

Engineering and

Discovery Research

Institute (KEDRI),

Auckland (www.kedri.info). He holds a

Chair of Knowledge Engineering at the

School of Computing and Mathematical

Sciences at Auckland University of

Technology. He is a Fellow of IEEE,

Fellow of the Royal Society of New

Zealand, Fellow of the New Zealand

Computer Society. He is the current

President of the International Neural

Network Society (INNS) and a Past-

President of the Asia Pacific Neural

Network Assembly (APNNA). He is a

member of several technical committees

of IEEE Computational Intelligence

Society. Kasabov is Associate Editor of

several international journals, among

them: Neural Networks, IEEE TrNN,

IEEE TrFS. He chairs a ser ies of

international conferences ANNES/

NCEI in New Zealand. Kasabov holds

MSc and PhD from the Technical

University of Sofia, Bulgaria.

Prof. Kasabov’s main research inter-

ests are in the areas of: neural networks,

computational intelligence, soft com-

puting, bioinformatics, neuro-informat-

ics, speech and image processing, data

mining and knowledge discovery. A dis-

tinctive feature of his work is the inte-

gration of principles of information

processing inspired by nature. He origi-

nated a series of novel generic methods

for intelligent information processing,

including: connectionist-based expert

systems; neuro-fuzzy systems; evolving

connectionist systems (ECOS); incre-

mental learning methods; quantum

inspired optimisation and connectionist

methods; novel spiking neural networks;

computational neuro-genetic methods;

integrative computational intelligence,

along with their numerous applications.

He has published more than 400 publi-

cations that include 15 books, 120 jour-

nal papers, 60 book chapters, 32 patents

and numerous conference papers.

Kasabov is also a Guest Professor at

the Shanghai Jiao Tong University. He

has an extensive previous academic

experience as a working or visiting aca-

demic at various academic and research

organisations: University of Otago,

New Zealand; University of Essex, UK;

University of Trento, Italy; Technical

University of Sofia, Bulgaria; University

of California at Berkeley; RIKEN and

KIT, Japan; Technical University Kaiser-

slautern, Germany, and others. Among

the received awards by Prof. Kasabov

are the RSNZ Science and Technology

Medal, the Bayer Science Innovation

Award, APNNA Excellent Service

Award, several IEEE and other best

paper awards. More information of

Prof. Kasabov can be found on: http://

www.kedri.info.

Bart Kosko

University of Southern California,

USA

For contributions to neural and fuzzy systems.

Bart Kosko is a

professor of elec-

trical engineering

and law at the Uni-

versity of Southern

California, seven-

term governor of

the International

Neural Networks Society, past director

of USC’s Signal and Image Processing

Institute, and past chair or cochair of

several neural and fuzzy conferences. He

holds degrees in philosophy, economics,

applied mathematics, electrical engi-

neering, and law. He has published the

textbooks Neural Networks and Fuzzy

Systems and Fuzzy Engineering, the trade

books Fuzzy Thinking and Heaven in a

Piero P. Bonissone General Electric Global Research, USA

Digital Object Identifier 10.1109/MCI.2010.936318