Professor Richard Everson

Richard graduated with a degree in Physics from Cambridge University in 1983 and a PhD in Applied Mathematics from Leeds University in 1988. He worked at Brown and Yale Universities on fluid mechanics and data analysis problems until moving to Rockefeller University, New York to work on optical imaging and modelling of the visual cortex. After working at Imperial College, London, he was appointed lecturer at Exeter University in 1999, where he is now a Professor of Machine Learning.

Research interests are in machine learning, statistical pattern recognition, multi-objective optimisation and the links between them. Particular current interests are in optimisation in wireless and mobile networks to maintain quality of service, in automatic analysis of video and accelerometer data for inferring behaviour of animals (funded by NERC and the Open Innovation Platform) and people (with the Royal Devon and Exeter Hospital), and in modelling big data storage systems (with the Met Office).

Software

• sRVM: Smooth relevance vector machine
• gndvis: visualising many-objective individuals