University of Birmingham > Talks@bham > Computer Science Departmental Series > Probabilistic Models of Human Location Behaviour

Probabilistic Models of Human Location Behaviour

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If you have a question about this talk, please contact Christine Zarges.

Host: Mirco Musolesi

Understanding human mobility patterns is a significant research endeavour that has received considerable attention, with applications to predicting the spread of infectious diseases, improving urban planning, and offering context-aware assistance on mobile devices. However, in practice, human location behaviour and the resulting data are subject to considerable uncertainty, motivating the use of probabilistic methods to summarise and predict behaviour. In this talk, I present recent successes and ongoing challenges of applying statistical machine learning to this task.

This talk is part of the Computer Science Departmental Series series.

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