Chidubem Iddianozie: On the Prospects and Challenges of Machine Learning for Street Networks

Abstract

Our streets shape us in more ways than we can imagine. In this talk, I offer a unique view into the promising applications of machine learning for street networks. This talk starts with a motivation for the problems, then I describe our research efforts in this space. Particularly, I highlight our approaches to address some of the challenges associated with employing machine learning for problem solving on street networks. This talk concludes with a reflection on current progress and ideas for future exploration. Catch you there!

Date
September 23, 2020 11:00 — 12:00
Event
SML Seminar
Location
online

Bio

Chidubem Iddianozie is a third year PhD student in Computer Science at the University College Dublin. His research interests span semantic inference, transfer learning, graph mining and urban computing. He obtained his M.Sc. in Computer from the University of Southampton. He has interned as a Data scientist at the Ordnance Survey and as a Research Scientist at IBM Research.
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Marc Deisenroth
DeepMind Chair in Artificial Intelligence