Organising Committee

Dr David Walker (University of Plymouth)

Dr David Walker is a Lecturer in Computer Science at the University of Plymouth. He has a PhD in Computer Science from the University of Exeter, where he conducted work on the visualisation of the mutually non-dominating sets generated by many-objective evolutionary algorithms. During his postdoctoral work he conducted research on the development of novel hyper-heuristics and interactive methods for solving optimisation problems. He joined the School of Computing, Electronics and Mathematics at the University of Plymouth in 2018, and is a member of both the Centre for Robotic and Neural Systems and Big Data Group. His research focuses on improving user understanding of nature-inspired algorithms using visualisation techniques, and incorporating humans as components of nature-inspired approaches using interactive evolution. He has organised a GECCO workshop on visualisation for the last seven years, and is active in reviewing for a range of journals.

Dr Matt Johns (University of Exeter)

Dr Matt Johns is a Research Fellow in the College of Engineering, Mathematics and Physical Sciences at the University of Exeter. He obtained a PhD in Computer Science from the University of Exeter developing methods for incorporating domain expertise into evolutionary algorithms. Following the submission of his PhD thesis, he worked as an Associate Research Fellow in the Centre for Water Systems developing decision support tools to aid in the optimal design of waste water treatment systems. He then went on to work on the Human-Computer Optimisation for Water Systems Planning and Management project, developing new approaches to the design and management of water systems by incorporating visual analytics, heuristic optimisation and machine learning. His research interests include evolutionary optimisation, water systems optimisation, human-computer interaction and interactive visualisation.

Nick Ross (University of Exeter)

Nick Ross is a Computer Science PhD Student in the College of Engineering, Mathematics and Physical Sciences at the University of Exeter. He is researching the gamification of optimisation and how it might apply to water distribution systems. His research interests include nature-inspired computing, capturing user heuristics, serious games and gamification, and artificial intelligence.

Prof. Ed Keedwell (University of Exeter)

Prof. Ed Keedwell is an Associate Professor in Computer Science at the University of Exeter. He is currently Director of Research for Computer Science and has personal research interests in nature-inspired computing techniques (e.g. genetic algorithms, neural networks, cellular automata) and their applications to a variety of difficult problems in bioinformatics and engineering. He leads the Nature Inspired computing research group focusing on applied optimisation, funded by grants totalling over £2 million from the EPSRC, Innovate UK, EU and industry and has published over 120 papers in this area.


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