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Space-Time AI for Smart Cities - Tao Cheng
23 October 2019, 5:00 pm–6:00 pm
This event is free.
Event Information
Open to
- All
Cost
- Free
Organiser
-
Andrew Maclachlan
Location
-
G0385: 26 Bedford Way26 Bedford WayLondonWC1H 0DSUnited Kingdom
More than half of the world’s population are now living in urban areas placing city infrastructures under increasing pressure. With the development of IoT and mobile technology, cities and people are more connected than ever which generated large volume of geolocated and time stamped (space-time) data. This talk will show cases of making use of AI and deep learning in analysing these space-time data to gain insight of people and places, in order to deliver intelligent service and government towards smart cities.
About the Speaker
Tao Cheng
Director at SpaceTimeLab for Big Data Analytics, UCL
Tao Cheng is a Professor in GeoInformatics, the founder and Director of SpaceTimeLab for Big Data Analytics (www.ucl.ac.uk/spacetimelab) at University College London, a multi-disciplinary research centre that aims to gain actionable insights from geo-located and time-stamped data for government, business and society. Her research interests span AI and Data, network complexity, urban analytics (modelling, prediction, clustering, visualisation and simulation) with applications in transport, crime, health, business, social media, and natural hazards. She has studied and lectured in China, the Netherlands, Hong Kong, France and the UK. She has secured more than £12M research grants since 2006, working with many government and industrial partners in the UK including Transport for London, the London Metropolitan Police Service, Public Health England and Arup.
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