Professor of Engineering Statistics
Academic Division: Information Engineering
Research group: Signal Processing and Communications
Telephone: +44 1223 7 64139
Prof Singh is the Head of the Signal Processing and Communications Group. Statistics underpins many areas of scientific research and Prof Singh's research is geared towards developing statistical methodology which is of generic importance for applications in Engineering and Statistics. His recent work focuses on Sequential Monte Carlo and Markov Chain Monte Carlo, two indispensable tools in Computational Statistics.
Prof Singh's work is also driven by the statistical signal processing challenges of specific applications, most recently in Single Molecule Fluorescence Microscopy, Multi-target tracking, and Inverse Reinforcement learning.
- EPSRC: Bayesian Tracking and Reasoning over Time, 01/04/2013-31/03/2016
- EPSRC: Bayesian Inference for multi-object tracking, 01/04/2009-28/02/2013
- Affiliated Lecturer of the Statistical Laboratory
- Fellow of Churchill College