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Xiaowen Dong

Oxford-Man Institute
Department of Engineering Science
University of Oxford
Eagle House, Walton Well Road
Oxford OX2 6ED
Email: xdong [at] robots [dot] ox [dot] ac [dot] uk

Research Publications Projects Talks Resources Teaching Group

I am a Departmental Lecturer (roughly Assistant Professor) in the Department of Engineering Science at the University of Oxford, where I am an academic member of both the Machine Learning Research Group and the Oxford-Man Institute. Prior to joining Oxford, I was a Postdoctoral Associate at the MIT Media Lab, where I remain as a research affiliate, and received my PhD degree from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.

I am primarily interested in utilising graphs to model relational structure within the data, and developing novel techniques that lie at the intersection of machine learning, signal processing, and complex networks. I apply these techniques to study questions across social and economic sciences, with a particular focus on understanding human behaviour, decision making and societal changes.

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[2020.10] I am teaching AIMS CDT Signal Processing and B14 Signal Analysis this Michaelmas Term.
[2020.10] I am Guest Editor of the Special Issue on AI for Pandemics of EURASIP Journal on Advances in Signal Processing.
[2020.09] Paper accepted at International Conference on Complex Networks and their Applications (Complex Networks), Madrid, Spain.
[2020.07] Paper accepted in IEEE Signal Processing Magazine.
[2020.07] Talk at University of Bath.
[2020.07] Talk at MIT Media Lab.
[2020.06] Paper accepted in EPJ Data Science.
[2020.06] Paper accepted at International Conference on Machine Learning (ICML), Vienna, Austria.
[2020.05] Discussion in Somerville College Podcast.