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I am a Professor of Computer Science and a Tutorial Fellow at St. Anne’s College, University of Oxford. I serve as the Co-Director of the Autonomous Intelligent Machines Systems Centre Doctoral Training (AIMS CDT) and am a member of the Cyber Physical Systems research group. My research focuses on applying artificial intelligence and machine learning to physical sensor systems to address real-world problems, particularly in the realm of sustainability. I have recently developed projects related to future energy systems, smart grids, and citizen science platforms that involve environmental monitoring with real-world applications. This work often includes the deployment of novel approaches with devices and cloud technologies. Currently, I am involved in addressing smart building energy management and the development of low-cost conservation technology. I have supervised 27 PhD students to completion and am currently supervising Stephen Ellis. My academic journey started with a study in Physics at Durham University before moving into the industry as a wireline logging engineer for Schlumberger, where I worked in oilfields globally for five years. I subsequently returned to study for a PhD in Computer Science, focusing on statistical physics models applied to evolving populations. After completing my PhD, I worked with BiosGroup, a spin-out from the Santa Fe Institute, before returning to academia, initially at the University of Southampton, and then to the University of Oxford. I teach Computer Architecture and supervise undergraduate and MSc projects in sensor systems, computer architecture, and physical computing, especially those involving artificial intelligence and machine learning. I am also interested in consulting for organizations, particularly start-ups, in deploying AI and machine learning to address real-world issues.
Department of Politics and International Relations - Higher Level English requirement.