Jonathon Chambers

  • Tuesday 19 February 2019
  • 5.30pm-6.30pm
  • Ken Edwards Building, Lecture Theatre 1

A Guided Tour of Signal Processing and its Applications

Professor Jonathon Chambers FREng will begin with an introduction to the fascinating field of adaptive signal processing and its applications, culminating in blind source separation as a framework to address the machine cocktail party problem, namely mimicking the ability of a human to follow one conversation within a room when many people are speaking.

As humans we use our listening and visual senses together with sophisticated signal processing in our brains to solve this problem. In a machine, the ears and eyes of a human are simply replaced by microphones and video cameras; but, the challenge is processing the measured audio-visual signals to extract the conversation of interest and Jonathon will introduce some of the algorithmic solutions his team have proposed in this area.

He will also describe his more recent work applying signal processing techniques as part of the University Defence Research Collaboration II in Signal Processing for the Networked Battlespace sponsored by Dstl and the EPSRC.  In particular, he will show how methods from signal processing and machine learning can be exploited to perform network anomaly detection in the context of cyber security.

Finally, he will describe how signal processing techniques can be exploited in emerging 5th generation wireless communications, the Internet of Things and massive machine-to-machine networks.

Professor Jonathon Chambers

Jonathon Chambers - Photo.jpg

Jonathon Chambers FREng, FIEEE, 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. From 1991 to 1994, he was a Research Scientist with the Schlumberger Cambridge Research Center, Cambridge, U.K. In 1994, he returned to Imperial College London as a Lecturer in signal processing and was promoted to Reader (Associate Professor) in 1998.

From 2001 to 2004, he was the Director of the Center for Digital Signal Processing and a Professor of signal processing with the Division of Engineering, King’s College London and is now a Visiting Professor. From 2004 to 2007, he was a Cardiff Professorial Research Fellow with the School of Engineering, Cardiff University, Cardiff, U.K. Between 2007 and 2014, he led the Advanced Signal Processing Group, School of Electronic, Electrical and Systems Engineering, Loughborough University, and is now a Visiting Professor.

In 2015, he joined the School of Electrical and Electronic Engineering, from the 1st August 2017 the School of Engineering, Newcastle University, where he was a Professor of signal and information processing and the Head of the Intelligent Sensing and Communications Group, and is now a Visiting Professor. From 1st December 2017 he became the Head of the Department of Engineering 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.

He has advised more than 80 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.

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