Dr. Julian de Hoog joined IBM Research in 2014, and is currently applying AI and cloud-based optimisation to distributed systems. Application areas include a broad range of disciplines (energy storage, renewables, electrified transport, internet-of-things), using a diverse set of tools (machine learning, optimisation, physical modelling, data-
Prior to joining IBM, Julian spent three years as a Research Fellow at the University of Melbourne, Australia. During this time he worked together with several utility partners to study the impacts of electric vehicles on distribution networks, and developed smart charging algorithms for optimal load shifting. He was a member of the Victoria Electric Vehicle Trial Planning Group. Julian remains an Honorary Research Fellow at the University of Melbourne where he is involved in PhD student supervision and joint research projects.
Julian received the B.Sc in Computer Science and Mathematics from McGill University in Montreal, Canada (2004), and the M.Sc and PhD degrees, both in Computer Science, from the University of Oxford, UK (2007 and 2011, respectively). During his PhD, he developed methods for teams of autonomous robots to explore unknown, communication-limited environments.
He has published over 50 academic articles, has held several panel and committee positions at conferences such as ACM e-Energy and IEEE ISGT (Europe and Asia), is an Associate Editor for IET Smart Grid, and reviews for several journals including the IEEE Transactions on Power Systems and the IEEE Transactions on Smart Grid. He is a Senior Member of the IEEE.
Up to date info on news, publications, patents, etc. is available on Julian's personal website.