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Prof Edward Keedwell

Professor of Artificial Intelligence

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Telephone: 01392 724014

Extension: (Streatham) 4014

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Professor Keedwell is Professor of Artificial Intelligence, and a Fellow of the Alan Turing Institute. He joined the Computer Science discipline in 2006 and was appointed as a lecturer in 2009. He has research interests in optimisation (e.g. genetic algorithms, swarm intelligence, hyperheuristics) machine learning and AI-based simulation and their application to problems in bioinformatics and engineering yielding over 160 journal and conference publications. He leads a research group focusing on applied artificial intelligence and has been involved with successful funding applications totalling over £3.5 million from the EPSRC, Innovate UK, EU and industry.  Particular areas of current interest are the optimisation of transportation systems, the development of sequence-based hyperheuristics and human-in-the-loop optimisation methods for applications in engineering.  Current projects include:

  • Exploiting Quantum Computing for Large-Scale Transport Models (Innovate UK with CityScience)
  • Hyper-heuristic Optimisation for Advanced Zero Carbon Public Transport Planning (IUK SmartGrant with CityScience)
  • Combined Optimisation of Transportation and Energy Networks (KTP with City Science)
  • AI for Legal Services (KTP with Darby and Darby)
  • Advanced Metaheuristics and Hyperheuristics for Telecommunications Scheduling Problems (with BT)
  • EPSRC iCASE: Ethics and Artificial Intelligence: Privacy in Private Spaces (with Dyson)

Previous projects include:

Recent activity

  • Chair: Evolution Artificielle 2022 - 31st October-2nd November, Exeter
  • Speaker:  BCS Real Artificial Intelligence 2022, September 2022, London
  • Speaker:  Somerset Innovation Exchange, September 2022, Taunton
  • Keynote speaker & Panellist:  BCS AI-2021, December 2021, Online (Cambridge)
  • Keynote speaker: ROADEF 2021, April 2021, Online (Mulhouse)
  • Contributor:  Alan Turing Institute Presents AI-UK 2021, March 2021, Online (London)
  • BT Thought Leadership Seminar, July 2020, Online (Ipswich)
  • Keynote speaker: Evolution Artificielle 2019, October 2019, Mulhouse, France
  • Keynote speaker:  MCDM Workshop, GECCO 2019, Prague, Czech Republic

Membership of professional bodies

  • Member of the Association of Computing Machinery (ACM)
  • Fellow of the Higher Education Academy.
  • Member of the EPSRC Peer Review College
  • Member of the IEEE Task Force on Hyperheuristics
  • Member of the AISB Committee (2010-2020)

Administrative responsibilities

  • Co-Lead, IDSAI Trustworthy AI Theme (2021-)
  • Academic Lead, AI Group (2020-)
  • Director of Research, Computer Science (2015-2021)
  • Chair of the EPSRC Strategy Group (2018-2019)
  • Admissions Tutor, Computer Science (2013-2017)

Qualifications

BSc Cognitive Science, University of Exeter (1998)

PhD Computer Science, University of Exeter (2003)