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Danilo Mandic is a Professor at Imperial College London, specializing in Statistical Learning Theory, Machine Intelligence, and Statistical Signal Processing, with applications in Biomedicine and Finance. He received his Ph.D. degree in nonlinear adaptive signal processing in 1999 from Imperial College, London. Notably, he is a pioneer in the field of Hearables, focusing on in-ear sensing of neural function and vital signs for long-term physiological monitoring. He has authored over 600 journal and conference articles and written several influential research monographs including 'Recurrent Neural Networks' and 'Complex-valued Adaptive Filters Neural Networks.' He serves as President of the International Neural Network Society and has received multiple awards for his research, including the prestigious Dennis Gabor Award for Outstanding Achievements in Neural Engineering. His current research interests include Adaptive Learning Theory, Big Data, Neural Networks, and their applications in Biomedicine and Financial Engineering.
Imperial College London • London, United Kingdom
Specializes in Statistical Learning Theory, Machine Intelligence, and Statistical Signal Processing.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.