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 Senior Lecturer 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 over 100 publications on a variety of aspects of signal processing and a research monograph on recurrent neural networks. He has been a Guest Professor at the Catholic University Leuven, Leuven, Belgium, and Frontier Researcher at the Brain Science Institute RIKEN, Tokyo, Japan. Dr. Mandic is a Member of the IEEE Signal Processing Society Technical Committee on Neural Networks 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.
et al., 2013, Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN:0162-8828, Pages:1-1
et al., 2012, The In-The-Ear recording concept, Ieee Pulse Magazine, Vol:3, Pages:34-42
Xia Y, Douglas SC, Mandic DP, 2012, Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators, Ieee Signal Processing Magazine
Ahmed MU, Mandic DP, 2011, Multivariate multiscale entropy: A tool for complexity analysis of multichannel data, Physical Review E (statistical, Nonlinear, and Soft Matter Physics), Vol:84, Pages:061918-1-061918-10
Rehman N, Mandic DP, 2010, Multivariate empirical mode decomposition, Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, Vol:466, ISSN:1364-5021, Pages:1291-1302