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- Keynote Speech I
- Opportunities in Adaptive Signal Processing and Machine Learning
- Professor Jonathon Chambers, FREng FIEEE
- Department of Engineering
- University of Leicester, UK
- Abstract: The talk will provide an overview of various application areas in which signal processing and machine learning have been applied by the speaker and provide guidance in terms of future opportunities in these areas. These include multimodal approaches to the machine cocktail party, intrusion detection in cyber security and robust filtering for underwater navigation. The talk will conclude with considering how both traditional model-based and emergent data-driven techniques can be best exploited in future wireless communication networks.
- Biography of Professor Jonathon Chambers
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- Jonathon Chambers received the Ph.D. and D.Sc. degrees in signal processing from the Imperial College of Science, Technology and Medicine (Imperial College London), London, U.K., in 1990 and 2014, respectively. He is Professor of Signal and Information Processing and Head of the Engineering Department at the University of Leicester and is also an International Honorary Dean and a Guest Professor within the Department of Automation, Harbin Engineering University, China, where he holds a 1000 Talents Scheme Award.
- He has advised 90 researchers through to Ph.D. graduation and published more than 500 conference proceedings and journal articles, many of which are in IEEE journals. His research interests include adaptive signal processing and machine learning and their application in communications, defence and navigation systems.
- He was a Technical Program Co-chair for the 36th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), Prague, Czech Republic and was the Plenary Chair for ICASSP 2019 Brighton, U.K. He was a Senior Area Editor and Associate Editor for IEEE Trans. Signal Processing for more than 10 years and is currently an Area Editor for the DSP journal. He has served on the IEEE Signal Processing Theory and Methods Technical Committee, the IEEE Signal Processing Society Awards and Conference Boards, and the Jack Kilby Medal Committee.
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