Aidan O'Sullivan is a lecturer at the UCL Energy Institute, University College London. He is course director for the MSc. in Energy Systems and Data Analytics and head of the Energy and Artificial Intelligence group. Prior to joining UCL he was awarded a PhD. from the department of Mathematics in Imperial College London in 2013 for his thesis on Bayesian statistics. He joined MIT as a postdoc in the Intelligent Transport Systems group where he worked on transport modelling problems using advanced artificial intelligence methods. He has been co-investigator on a number of large scale research projects, collaborations involving multiple universities, including the UK Research Council funded projects. 'System Aspects of Electric Commercial Aircraft (SAECA)', project value £250,000, and 'Airport Capacity Consequences Leveraging Aviation Integrated Modelling (ACCLAIM)', total project value £1,500,000.
His publications span a wide range of areas but with the common focus of how advanced data science and AI methodologies can be deployed in aerospace and the energy system for sustainability. Examples include the development of models for the global aviation system, the future of electric aircraft and the role of big data and AI in energy systems modelling His work has also been featured in a recent article on Artificial Intelligence in the Times Raconteur, 'How AI can help meet global energy demand'.
Aidan's research at the Turing will be focused on how artificial intelligence methods can be deployed to improve the efficiency of the energy system, from how electricity is generated to how the National grid is operated.