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Research Seminar: Network and Graph based SpaceTimeAI for Smart Cities

  • Date

    19 May 2023

  • Organiser

    Department of Land Surveying and Geo-Informatics (LSGI)

  • Time

    15:30 - 16:30

  • Venue

    Z414 Map  


Prof. Tao CHENG


Ms Anna Choi 3400 8158


All are welcome


SpaceTimeAI and GeoAI are currently hot topics, applying the latest algorithms in computer science, such as deep learning, to spatiotemporal data. Although deep learning algorithms have been successfully applied to raster data due to their natural applicability to image processing, their applications in other spatial and space-time data types are still immature. This talk sets up the proposition of using a network (& graph)-based framework as a generic spatial structure to present space-time processes that are usually represented by the points, polylines, and polygons. We illustrate network and graph-based SpaceTimeAI, from graph-based deep learning for prediction, to space-time clustering and optimisation. These applications demonstrate the advantages of network (graph)-based SpaceTimeAI for smart cities applications including transport & mobility, crime & policing, and public health.



Keynote Speaker

Prof. Tao CHENG


University College London

Prof. Tao Cheng (HDR, PhD, FICE, CEng) is a Professor in GeoInformatics, Fellow of Turing Institute, the Founder and Director of SpaceTimeLab for Big Data Analytics ( at University College London, a multidisciplinary research centre that aims to gain actionable insights and foresights from geo-located and time-stamped data for government, business and society. Her research interests span AI and Big Data, network complexity, urban analytics (modelling, prediction, clustering, visualisation and simulation) with applications in transport and mobility, safety and security, business intelligence, and natural hazards prevention. She has secured more than £25M research grants in the UK and EU, working with government and industrial partners in the UK including Transport for London, the London Metropolitan Police Service, Public Health England and Arup, to name a few. She has published over 280 research articles and received numerous international best paper awards.

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