Royal Holloway logo and departmental theme Royal Holloway, University of London

Professor Alex Gammerman

A. Gammerman photo
Position Co-Director of the CLRC
Personal website
Telephone +44 1784 443434
Research Area Machine Learning and Algorithmic Randomness

Brief Biography

Professor Gammerman studied in Leningrad (now St Petersburg), was awarded his PhD, and then worked in several Research Institutes of the Academy of Science of the USSR. In 1983 he moved to Great Britain and worked first as a Lecturer and then as a Reader at Heriot-Watt University, Edinburgh. He was appointed to the established Chair in Computer Science at University of London (Royal Holloway and Bedford New College) in 1993 and served as Head of the Computer Science Department from 1995 until 2005. He is also co-Director and Founding Director of the Computer Learning Research Centre at Royal Holloway, University of London.

Professor Gammerman is a Fellow of the Royal Statistical Society, Fellow of the Royal Society of Arts, Member of British Computer Society . He chaired and participated in organising committees of many international conferences and workshops on Machine Learning and Bayesian methods in Europe, Russia and in the United States. He is also a member of the editorial board of the Law, Probability and Risk journal.

Professor Gammerman's current research interest lies in field of Algorithmic Randomness Theory and its applications to machine learning, the development of inductive/transductive confidence machines and intelligent data analysis. Areas in which these techniques have been applied include medical diagnosis, forensic science, genomics, environment and finance. Professor Gammerman has published over a hundred research papers and several books on computational learning and probabalistic reasoning.

Details of Professor Gammerman's CV are given here.

Selected List of Publications
Recent Grants
Computer Science Department Staff Page
Computer Learning Research Centre
Algorithmic Learning in a Random World cover Computer Journal cover Causal Models and Intelligent Data Management cover
Computational Learning and Probabilistic Reasoning cover Machine Learning: Progress and Prospects cover Probablistic Reasoning and Baysian Belief Networks cover

Last updated Wed, 17-Jun-2009 15:57 GMT
Department of Computer Science, University of London, Egham, Surrey TW20 0EX
Tel/Fax : +44 (0)1784 443421 /439786