Computational Intelligence - May 2013 - 6

on Evolutionary Computation. He is an
elected member of the AdCom (20102015) of the IEEE Computational Intelligence Society (CIS) and served as IEEE
CIS Vice President for Technical Activities
(2006-2007) and Chair of Emergent Technologies Technical Committee (20042005). He is an elected member of the
Board of Governors of the International
Neural Network Society (2011-2013) and

a CIS Representative to the AdCom of
the IEEE Biometrics Council (2011). He
serves as Chair, Education Committee,
IEEE Engineering in Medicine and Biology Society (2011, 2012). He was President of the Asia-Pacific Neural Network
Assembly (APNNA) in 2002/2003 and
received the 2007 APNNA Excellent Service Award. He was Founding Chair of
both the IEEE Engineering in Medicine

and Biology Singapore Chapter and IEEE
Computational Intelligence Singapore
Chapter. He serves/served as IEEE CIDM
2013 Program Co-Chair, IEEE EMBC
2011 & 2010 Theme Co-Chair, IJCNN
2010 Technical Co-Chair, IEEE CEC
2007 Program Co-Chair, IJCNN 2006
Program Chair, as well as on the steering/
advisory/organizing/program committees
of over 200 international conferences.

Erkki Oja
Aalto University, FINLAND

IEEE Fellows-Class of 2013
Danilo Mandic,
Imperial College London, UK

for contributions to multivariate and nonlinear learning systems
Dr. Mandic obtained
his Ph.D. in the area
of nonlinear adaptive systems from
Imperial College in
1999 and is currently a Professor of
Signal Processing at
the same institution. He has been working in the areas of nonlinear and multidimensional adaptive filters, complex- and
quaternion-valued neural networks, timefrequency analysis and complexity science.
His research has found applications in
biomedical engineering (brain-computer
interface), human-computer interaction
(body sensor networks), and renewable
energy and smart grid. He has published
two research monographs: Recurrent Neural Networks for Prediction, Wiley 2001, and
Complex Valued Nonlinear Adaptive Filters:
Noncircularity, Widely Linear and Neural
Models, Wiley 2009, and has also coedited
a book on Data Fusion (Springer 2008)
and has been a part-editor for Springer
Digital Object Identifier 10.1109/MCI.2013.2247818
Date of publication: 11 April 2013

Handbook on Neuro- and Bioinformatics
(Springer 2013). Dr. Mandic has held
visiting positions in RIKEN (Japan), KU
Leuven (Belgium) and Westminster University (UK).
Professor Mandic has been a Publicity
Chair for the World Congress on
Computational Intelligence (WCCI) in
2014, Plenary Talks Chair at EUSIPCO
2013, European Liaison at ISNN in 2011
and a Program Co-Chair for ICANN in
2007. He has given keynote and tutorial
talks at foremost conferences in Signal
P ro c e s s i n g a n d C o m p u t a t i o n a l
Intelligence (ICASSP in 2013 and 2007,
IJCNN in 2010, 2011, and 2012), and has
been an Associate Editor for IEEE
Transactions on Neural Networks and Learning
Systems (since 2008), IEEE Signal Processing
Magazine, and IEEE Transactions on Signal
Processing. He is also a Co-Chair of the
Task Force on Complex Neural Networks and
a Member of the Task Force on Smart Grid
(both within IEEE CIS), and the Signal
Processing Theory and Methods technical
committee within the IEEE SPS.
Dr. Mandic has won several Best
Paper awards in international conferences in Computational Intelligence
(2010, 2009, 2006, 2004, 2002), and was
appointed by the World University
Service (WUS) as a Visiting Lecturer
within the Brain Gain Program (BGP).
His Ear-EEG device has been shortlisted

IEEE ComputatIonal IntEllIgEnCE magazInE | maY 2013

for the Annual Brain Computer
Interface Award in 2012. He has been
granted patents and has had successful
industrial collaborations in the areas of
brain- and human-computer interface.
Dr. Mandic has great satisfaction in
educating new generations of researchers and his Ph.D. students and PDRAs
have won Best Thesis awards at his
home Department in 2007 and 2011,
Best Research at the Department in
2012, and Best Student Paper awards in
ISNN in 2010, MELECON 2004, and
RASC in 2002.
Ron Sun, Rensselaer Polytechnic
Institute, NY, USA

for contributions to cognitive architectures and
computations
Ron Sun is Professor of Cognitive
Sciences at RPI,
and formerly the
James C. Dowell
Professor of Engineering and Professor of Computer
Science at University of MissouriColumbia. He heads the Cognitive
Architecture Laboratory at RPI. His
received his Ph.D. from Brandeis University in Computer Science.

Table of Contents for the Digital Edition of Computational Intelligence - May 2013