Alexander Gammerman

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Alexander Gammerman
Born2 November 1944
Almaty, Soviet Union[1]
NationalityBritish
Alma materSaint Petersburg State University
Russia
Known forConformal prediction
Scientific career
FieldsMachine learning
Statistics
InstitutionsRoyal Holloway, University of London

Alexander Gammerman is a British computer scientist, and professor at Royal Holloway University of London. He is the co-inventor of conformal prediction. He is the founding director of the Centre for Machine Learning at Royal Holloway, University of London, and a Fellow of the Royal Statistical Society.

Career[edit]

Gammerman's academic career has been pursued in the Soviet Union and the United Kingdom. He started working as a Research Fellow in the Agrophysical Research Institute, St. Petersburg. In 1983, he emigrated to the United Kingdom and was appointed as a lecturer in the Computer Science Department at Heriot-Watt University, Edinburgh.[1] Together with Roger Thatcher, Gammerman published several articles on Bayesian inference.[2] In 1993, he was appointed to the established chair in Computer Science at University of London tenable at Royal Holloway and Bedford New College, where he served as the Head of Computer Science department from 1995 to 2005.[3] In 1998, the Centre for Reliable Machine Learning was established, and Gammerman became the first director of the centre.

Gammerman has published 7 books, more than 150 research papers, and has an estimated h-index of 34.[4]

Honours and awards[edit]

In 1996, Gammerman received the P.W. Allen Award from the Forensic Science Society.[5] In 2006, he became a Honorary Professor, at University College London. In 2009, he became a Distinguished Professor at Complutense University of Madrid, Spain. In 2019, he received a research grant funded by the energy company Centrica about predicting the time to the next failure of equipment.[6] In 2020, he received the Amazon Research Award for the project titled Conformal Martingales for Change-Point Detection[7][8][9]

Selected books[edit]

  • Measures of Complexity (2016), Springer, ISBN 3319357786.
  • Algorithmic Learning in a Random World (2005), Springer, ISBN 0387001522.
  • Causal Models and Intelligent Data Management (1999), Springer, ISBN 978-3-642-58648-4.
  • Probabilistic Reasoning and Bayesian Belief Networks (1998), Nelson Thornes Ltd, ISBN 1872474268.
  • Computational Learning and Probabilistic Reasoning (1996), Wiley, ISBN 0471962791.

References[edit]

  1. ^ a b Who's Who in Scotland (4th ed.). Carrick Media. 1992. p. 152. ISBN 094672430X.
  2. ^ Golumbic, Martin Charles (1990). Golumbic, Martin Charles (ed.). Advances in Artificial Intelligence. New York, NY: Springer-Verlag. pp. 182–218. doi:10.1007/978-1-4613-9052-7. hdl:10366/135195. ISBN 978-1-4613-9054-1. S2CID 41996809.
  3. ^ "Alexander Gammerman - IEEE Author Profile". ieeexplore.ieee.org. IEEE. Retrieved 14 November 2023.
  4. ^ "Gammerman's Google Scholar Page". Google Scholar. 2020. Retrieved 22 September 2020.
  5. ^ "Winners of the PW Allen Award". The Chartered Society of Forensic Sciences. 2020. Retrieved 21 September 2020.
  6. ^ "Centrica research grant awarded for Prof. Alex Gammerman". Royal Holloway University of London. 2019. Retrieved 27 September 2020.
  7. ^ "Recipients of the 2019 Amazon Research Awards announced". Amazon. 2020. Retrieved 21 September 2020.
  8. ^ "Amazon Research Award for Prof. Alex Gammerman". Royal Holloway University of London. 2020. Retrieved 22 September 2020.
  9. ^ "2019 Amazon Research Award recipient". Amazon. 2020. Retrieved 21 February 2021.

External links[edit]

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