I presented my work on Exploiting the Spatio-Temporal Structure within Human Mobility Behavior using Graph Neural Networks at the The Workshop on Applied Machine Learning for Social & Environmental Problems (ML4SEP2019.

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Published: October 04, 2019

My slides are available here

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Professor Martin Raubal and Dr. Thomas Hettinger from SBB presented our joint work on the yumuv and the SBB Green Class projects as well as other research I was involved in such as trackintel and how to use graphs to represent individual mobility. You can find their slides here.

Our paper “Trackintel: An open-source Python library for human mobility analysis” was published in Computers, Environment and Urban Systems.

Our paper “Conserved quantities in human mobility” was published in Transportation Research Part C.

Our paper “Graph based mobility profiling” was accepted at Computers, Environment and Urban Systems (CEUS) and is now available online.