Aidan O'SullivanView profile
Associate Professor
Aidan O'Sullivan is an Associate Professor in Energy and Artificial Intelligence at University College London's Bartlett School of Environment, Energy & Resources, where he leads the Energy Systems and Artificial Intelligence Lab and the department's Data Analytics research theme. He is also the founding course director of the Energy Systems and Data Analytics MSc, an innovative program combining energy systems and sustainability with data science and machine learning. Current Position: Associate Professor, UCL Energy Institute Education: PhD in Mathematics, Imperial College London Prior Experience: Postdoctoral Researcher at MIT Civil Engineering Department Affiliation: Turing Fellow at the Alan Turing Institute (2018-2020) O'Sullivan's research focuses on applying artificial intelligence to energy system problems, particularly in power systems and heavy industry. He is a pioneer in using data science and machine learning with novel energy sector data sources like renewable generation and smart meter data. His specific AI interests include reinforcement learning, ensemble based methods, latent variable models and deep learning, with additional interest in complex network theory for understanding system interdependencies. His publication history shows a clear evolution from transportation and aviation applications toward direct power system applications, with reinforcement learning emerging as a consistent methodology across his work. The research demonstrates strong interdisciplinary integration of AI techniques with energy system challenges, particularly in grid management, optimization, and emissions reduction. O'Sullivan has received recognition including a Turing Fellowship from the Alan Turing Institute in 2018, the UK's leading center for AI and data science research. Turing Fellowship, Alan Turing Institute (2018-2020) As an educator, O'Sullivan serves as Deputy Director and Founding Course Director of the MSc in Energy Systems and Data Analytics. He teaches BENV0094 Statistics for Energy Analytics, focusing on the mathematical foundations of machine learning methods and their application to energy system datasets. His teaching directly addresses the industry need for professionals with integrated expertise in energy systems and data science. O'Sullivan leads the Energy Systems and Artificial Intelligence Lab at UCL, which focuses on applying advanced AI techniques to solve complex energy system challenges, particularly in grid management, renewable integration, and energy efficiency. His work aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy), 11 (Sustainable Cities and Communities), and 13 (Climate Action), reflecting the applied nature of his research in addressing global energy challenges.
