Simon Godsill
教授
Signal Processing and Communications Laboratory
Information Engineering Division, Department of Engineering, University of Cambridge;Corpus Christi College, University of Cambridge;Centre for Science and Policy, University of Cambridge;Cedar Audio Ltd;Input Dynamics Ltd
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基本信息
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个人简介
He coordinates an active research group in Signal Inference and its Applications within the Signal Processing and Communications Laboratory at Cambridge, specializing in Bayesian computational methodology, multiple object tracking, audio and music processing, and financial time series modeling. A particular methodological theme over recent years has been the development of novel techniques for optimal Bayesian filtering and smoothing, using Sequential Monte Carlo or Particle Filtering methods. Prof. Godsill has published extensively in journals, books and international conference proceedings, and has given a number of high profile invited and plenary addresses at conferences such as the Valencia conference on Bayesian Statistics, the IEEE Statistical Signal Processing Workshop and the Conference on Bayesian Inference for Stochasrtic Processes (BISP). He co-authored a seminal Springer text Digital Audio Restoration with Prof. Peter Rayner in 1998. He was technical chair of the successful IEEE NSSPW workshop in 2006 on sequential and nonlinear filtering methods, and has been on the conference panel for numerous other conferences/workshops. Prof. Godsill has served as Associate Editor for IEEE Tr. Signal Processing and the journal Bayesian Analysis. He was Theme Leader in Tracking and Reasoning over Time for the UK’s Data and Information Fusion Defence Technology Centre (DIF-DTC) and Principal Investigator on many grants funded by the EU, EPSRC, QinetiQ, General Dynamics, MOD, Microsoft UK, Citibank and Mastercard. In 2009-10 he was co-organiser of an 18 month research program in Sequential Monte Carlo Methods at the SAMSI Institute in North Carolina. He is a Director of CEDAR Audio Ltd. (which has received numerous accolades over the years, including a technical Oscar).
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James M. Cozens,Simon J. Godsill
IEEE OPEN JOURNAL OF SIGNAL PROCESSING (2024): 140-149
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.9556-9560, (2024)
IET RADAR SONAR AND NAVIGATIONno. 1 (2024): 137-146
IEEE OPEN JOURNAL OF SIGNAL PROCESSING (2024): 132-139
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICSno. 17 (2023): 12875-12877
arXiv (Cornell University) (2023)
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2023 Sensor Signal Processing for Defence Conference (SSPD) (2023): 1-5
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
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