Professor Piotr Dudek received his mgr inz degree from the Technical University of Gdańsk, Poland, in 1997 and the MSc and PhD degrees from the University of Manchester Institute of Science and Technology (UMIST) in 1996 and 2000 respectively. He worked as a Research Associate, and since 2002 as a Lecturer, Senior Lecturer and Reader at UMIST/The University of Manchester. He is currently Professor of Circuits and Systems in the School of Electrical and Electronic Engineering, The University of Manchester.
He was a Visiting Associate Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST) in 2008/09, a Visiting Professor in the Faculty of Electronics, Telecommunications and Informatics at the Gdansk University of Technology in 2015, Royal Academy of Engineering Leverhulme Trust Senior Research Fellow in 2015/2016 and visiting researcher at the Sorbonne University in 2017/18.
He is a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE) and a member of IEEE Circuits and Systems Society Technical Committees on Neural Systems, and on Cellular Neural Networks and Array Processing. He was the Chair of the IEEE CAS Technical Committee on Sensory Systems (2015-17). He was an Associate Editor for IEEE Transactions on Circuits and Systems II (2016-17), Review Editor for Frontiers in Neuroscience and an active reviewer for several journals and funding agencies. He has been a member of Scientific Committees, Track Chair or Session Chair at many international conferences, including IEEE International Symposium on Circuits and Systems, International Joint Conference on Neural Networks. His work received several Best Paper and Best Demo awards at international conferences (ISCAS, IJCNN, CNNA, ICDSC), and he has given many keynote and invited talks, and acted as external examiner to numerous PhD theses worldwide.
His research interest are in the area of integrated circuit design, especially vision sensors, cellular processor arrays, analogue and mixed-mode processing hardware, neuromorphic engineering and brain-inspired systems.
