Profile
Prof Edward Keedwell
Professor of Artificial Intelligence
Telephone: 01392 724014
Extension: (Streatham) 4014
Professor Keedwell is Professor of Artificial Intelligence. 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 £3.75 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)
- 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:
- AI for Legal Services (KTP with Darby and Darby)
- 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)
- Special Issue of Journal of Hydroinformatics "Making Water Smart"
- Real-Time Distributed Optimisation of Dualed Transport & Electrical Networks (Innovate UK 2020-2021, with City Science)
- Human-Computer Optimisation for Water Systems Planning and Management (Project Blog) (EPSRC 2017-2020)
- SIM4NEXUS (EU 2016-2020)
- Multi-Horizon Digital Twin Models for Transportation (InnovateUK 2019-2021, with City Science)
- Sequence Analysis Based Hyperheuristics (EPSRC 2012-2016)
- Ant Colony Optimisation for Genome-Wide Association Studies (EPSRC 2012-2013)
- Cellular Automata Dual Drainage Simulation (EPSRC 2010-2013)
Recent activity
- Chair: Evolution Artificielle 2022 - 31st October-2nd November 2022, 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
- Fellow of the Alan Turing Institute (2021-2023)
- 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)