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Bio: Dr. Mandic received the Ph.D. degree in nonlinear adaptive signal processing
in 1999 from Imperial College, London, London, U.K. He is now a Reader with
the Department of Electrical and Electronic Engineering, Imperial College
London, London, U.K. He has previously taught at the Universities of East
Anglia, Norwich, Norfolk, U.K., and Banja Luka, Bosnia Herzegovina.
He has written about 200 publications on a variety of aspects of signal
processing and a research monograph on recurrent neural networks (With J.
Chambers, Wiley 2001). He has been a Guest Professor at the Catholic
University Leuven, Leuven, Belgium and Tokyo University of Agriculture and
Technology (TUAT), and Frontier Researcher at the Brain Science Institute
RIKEN, Tokyo, Japan. Dr. Mandic has been a Member of the IEEE Signal
Processing Society Technical Committee on Machine Learning for Signal
Processing, Associate Editor for IEEE Transactions on Circuits and Systems
II, and Associate Editor for International Journal of Mathematical Modeling
and Algorithms. He has won awards for his papers and for the products coming
from his collaboration with industry.
His recent interest has been in multimodal, multidimensional, and
collaborative signal processing and data fusion with applications to brain
computer interfaces, human computer interaction, and renewable energy. Dr
Mandic has given a tutorial lecture (with Isao Yamada) on Machine Learning
and Signal Processing Applications of Fixed Point Theory in ICASSP 2007, and
is co-editor of a Springer volume \\\"Signal Processing Techniques for
Knowledge Extraction and Information Fusion\\\", 2007.
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| Focus: Machine Learning |
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