Dr. Phil Legg is a Senior Lecturer (Assistant Professor) in Computer Science at University of the West of England (UWE Bristol), UK. He joined UWE Bristol in February 2015, and is active in both teaching and research. His work spans across many different areas of Computer Science, including cybersecurity, machine learning, data visualization and visual analytics.
He obtained both his BSc Computer Science and his PhD Computer Science from Cardiff University, in 2006 and 2010 respectively. His PhD research focused on multi-modal image registration techniques, in particular to develop robust algorithms for automatic alignment of images captured from the retina (eye) that can assist clinicians with early detection and prevention of glaucoma disease. The work involved developing novel image similarity algorithms that work in conjunction with sophisticated search optimisation routines for being able to align images both quickly and accurately. The work was originally developed in partnership with the School of Optometry and Vision Sciences at Cardiff University, and has since been developed into a software suite for the University Hospital Wales.
He has worked as a Research Associate at Swansea University (2010-2013) on the Sports Video Visualization project. His work focused on novel techniques for capturing, analysing, and visualizing sports data were developed in conjuncntion with professional sports analysts, including the Snooker Champion Terry Griffiths, and the Welsh Rugby Union. His work has since been published in many top academic journals, including the IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. A spin-out company was formed as a result of the project, SportsViz Ltd., for which he was actively involved with and served as a managing director in the early years of setting up.
He has also worked as a Research Associate at the University of Oxford (2013-2015), on the Corporate Insider Threat Detection project. His work was focused on developing novel techniques for analysing, and understanding motives and deviations of user activity for the purpose of identifying suspicious and malicious activity within large organisations. The work considered novel integration between machine learning and visual analytics, and was developing in conjunction with Cisco Technologies, and the Center for Protection of National Infrastructure (CPNI). The work has been published at many academic venues, including the IEEE Workshop on Research in Insider Threat at IEEE Security and Privacy, and the Managing Insider Security Threats conferences in South Korea.
He has worked as a freelance software developer. His passion for kayaking and snowboarding resulted in developing three iOS apps (Tide Times, Ship Forecast, and Ski Season), which have been purchased over 35k times from the iOS App Store. He has also developed more bespoke software (Pocket Coder) which has been purchased by many sporting professionals worldwide, including Manchester United Football Club, Leicester Tigers Rugby Union, and the Welsh Rugby Union. He has also developed software for the NHS and for the TRIPOD project at Cardiff University.