Jonathan Fieldsend is a Professor of Computational Intelligence at the Department of Computer Science, University of Exeter. He is also Director of Research, and Academic Lead of the Optimisation group. He was awarded his PhD in 2003 from the University of Exeter, which was on the development of evolutionary multi-objective optimisation algorithms, and their application to neural network architecture configuration and learning. This was followed by postdoctoral research positions in machine learning, including Bayesian averaging approaches. His current research interests include multi-objective optimisation; machine learning; optimisation under uncertainty; robust optimisation; multi-modal optimisation; and landscape analysis. This includes the development of both algorithms and specialised data-structures for these tasks. He works closely with partners on application domains spanning expensive data-driven optimisation of engineering design problems through to calibration of digital twins and automated experimental design.
He has received £8 million in grant funding spanning UKRI, industry and charities, including over £1 million as PI. He is an Associate Editor of IEEE Transactions on Evolutionary Computation, an Associate Editor of ACM Transactions on Evolutionary Learning and Optimization, and is on the Editorial Board of Complex and Intelligent Systems. He is vice-Chair of the IEEE Computational Intelligence Society Task Force on Data-Driven Evolutionary Optimization of Expensive Problems and also vice-Chair of the IEEE Computational Intelligence Society Task Force on Multi-Modal Optimization. He was co-Chair of the Evolutionary Multi-criterion Optimization Track at the Genetic and Evolutionary Computation Conference (GECCO) in 2019 and 2020, and is Editor-in-Chief of GECCO 2022.