معرفی
Simon Godsill is a Professor of Statistical Signal Processing at the University of Cambridge, affiliated with the Engineering Department and Corpus Christi College. He coordinates the Signal Inference and its Applications research group, focusing on advanced Bayesian computational methods, multiple object tracking, audio/music processing, and financial time series modeling.
His research leverages Lévy processes and Sequential Monte Carlo (Particle Filtering) techniques for non-Gaussian modeling in applications spanning tracking agile objects (e.g., birds, drones), financial prediction, and vibrational data analysis. He has co-authored foundational texts like Digital Audio Restoration and led major international workshops, including the Imperial Workshop on Intelligent Communications.
- Co-organizer, 2009-10 SAMSI Research Program on Sequential Monte Carlo Methods
- General Chair, 2018 FUSION Conference
- Principal Investigator on grants from EPSRC, EU, and industry leaders (Microsoft, Google, Citibank)
He has received accolades including a Technical Oscar for CEDAR Audio Ltd. and Best Paper Awards from IEEE and IET. His group’s work on non-Gaussian channel modeling and jump-driven Lévy processes has broad implications in telecommunications, finance, and engineering.
- Associate Editor, IEEE Transactions on Signal Processing
- Director, CEDAR Audio Ltd. (founded 1988)
