Glenn Hawegraduated from the University of Warwick in 2004 with a MPhys in Mathematics and Physics (first class), and from the University of Southampton in 2008 with a PhD in Electronics and Electrical Engineering. His PhD research concerned efficient multi-objective optimization algorithms for electromagnetic design problems, and was carried out whilst employed as a KTP Associate with Vector Fields, Oxford.
From 2008-2010 he was employed as a PDRA at the University of Manchester on the BBSRC-funded project "Novel force-fields devised through machine learning". Here he developed machine learning software for use in a computational chemistry group optimizing regression algorithms for use in a force-field derived from quantum theory.
From 2010-2013 he was employed as a PDRA at Durham University on the EPSRC-funded project "Adaptive Co-ordinated Emergency Response to Rapidly Evolving Large-Scale Unprecedented Events (REScUE)". Here he developed agent-based simulation and optimization software to explore computationally how to design responses to major incidents in the UK.
Glenn joined the School of Computing and Mathematics at the Ulster University as a lecturer in 2013. A member of the Artificial Intelligence and Applications Research Group, his research focuses on machine learning and multi-objective optimization, and the overlaps between these two topics, such as multi-objective machine learning and meta-learning. He is currently on the technical committee for the "Science and Information Conference", and has acted as a reviewer for several journals including Journal of Simulation, International Journal of Machine Learning and Cybernetics and IEEE Transactions on Magnetics.