Imperial College London

ProfessorDaniloMandic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Signal Processing
 
 
 
//

Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
//

Assistant

 

Miss Charlotte Grady +44 (0)20 7594 6267

 
//

Location

 

813Electrical EngineeringSouth Kensington Campus

//

Summary

 

Summary

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.

Selected Publications

Journal Articles

Zhao Q, Caiafa CF, Mandic DP, et al., 2013, Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol:35, ISSN:0162-8828, Pages:1660-1673

Xia Y, Douglas SC, Mandic DP, 2012, Adaptive Frequency Estimation in Smart Grid Applications, IEEE Signal Processing Magazine, Vol:29, ISSN:1053-5888, Pages:44-54

Looney D, Kidmose P, Park C, et al., 2012, The In-The-Ear recording concept, Ieee Pulse Magazine, Vol:3, Pages:34-42

Ahmed MU, Mandic DP, 2011, Multivariate multiscale entropy: A tool for complexity analysis of multichannel data, Physical Review E, Vol:84, ISSN:1539-3755

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

More Publications