Portrait of Professor Philippe De Wilde

Professor Philippe De Wilde

Professor of Artificial Intelligence
Works across the Division of Natural Sciences


I am Professor of Artificial Intelligence in the Division of Natural Sciences at the University of Kent, United Kingdom. I promote the use of artificial intelligence and machine learning in Biosciences, Pharmacy, Sports and Exercise Sciences, Physics, Chemistry, Forensics, and the Medical School.
Between 2014 and 2020 I was Deputy Vice-Chancellor for Research & Innovation at the University of Kent. I had responsibility for strategy and policy development, and line managed Research Services, Kent Innovation & Enterprise, and the Graduate School. Between 2007 and 2014 I was Head of the School of Mathematical and Computer Sciences and a member of the University Executive, Heriot-Watt University, with campuses in Edinburgh, Dubai and Malaysia. I obtained the PhD degree in mathematical physics and the MSc degree in computer science in 1985 from Ghent University, Belgium. I was Lecturer and Senior Lecturer in the Department of Electrical Engineering, Imperial College London, between 1989 and 2005. Before 1989 I worked in Belgium at KU Leuven in applied mathematics and IMEC, also in Leuven, on microelectronics.
Laureate, Royal Academy of Sciences, Letters and Fine Arts of Belgium, 1988. Research Fellow, British Telecom, 1994. Vloeberghs Chair, Free University Brussels, 2010. I have published 57 journal papers and 56 conference papers. I have published four books, including ``Neural Network Models’’, Springer, 1997, and ``Convergence and Knowledge-processing in Multi-agent Systems’’, Springer, 2009. I started contributing to multi-layer feedforward neural networks, now called deep learning, in 1987. My work with British Telecom from 1994 to 1999 has contributed to scalable mobile apps. I am a Fellow of the British Computer Society, a Fellow of the Institute of Mathematics and its Applications, and a Senior Member of IEEE.
My current research is in biomedical signal processing, social network analysis, face recognition, statistical machine learning, and ethics. 


Research interests

Artificial Intelligence, Machine Learning, Statistical Learning, Neural Networks  


Research, Ethics and Impact, BIOS8600 


I have supervised 18 PhD students, from four continents. Happy to supervise or co-supervise PhD's with a significant AI or machine learning component anywhere in the Division of Natural Sciences   

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