I work on scalable data analytics methods for semantically rich modelling of urban dynamics. My research links advanced machine learning, complex networks and spatial interaction models into a general framework to quantify the emergence and evolution of spatio-temporal patterns in everyday dynamics and socio-economic structure of cities.
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Related Projects
Smart Urban Crowd-Sensing
The recent technology trends of crowd-sourcing/sensing and location-based social networking have reignited citizen engagement, opening new perspectives for cost-effective ways of making local communities and […]