报告人：程涛 教授(英国伦敦大学学院（UCL）土木、环境与测量工程系)
时间：2012年8月10日10:00
地点：澳门·威斯尼斯网站所B202澳门·威斯尼斯网站科学国家重点澳门·威斯尼斯网站学术报告厅
Abstract
Modelling of spatio-temporal network data presents a unique set of problems as they often exhibit spatio-temporal dependence, nonlinearity and heterogeneity. There are two fundamental challenges to modelling the complexity of networks.One challenge is to model dependency in both space and time seamlessly and simultaneously.Another challenge is to fully accommodate the topology (links and hierarchies) and geometry (distances and directions) of the networks. This presentation will report the progress made intackling these challengesthrough innovative combination of novel machinelearning methodswith advanced statistical approaches, drawing upon concepts from network complexity and data mining. It will demonstrate the proceduresthat integrate spatio-temporal prediction, pattern detection, simulation, and visualization for analysingtraffic data and crime data in Central London.
Dr Tao Cheng is a Professor in GeoInformatics in the Department of Civil, Environmental and Geomatic Engineering of University College London (UCL). Her research interests span network complexity, geocomputation, and spatio-temporal data mining (prediction, clustering, visualisation and simulation), with applications in environmental monitoring, location-based services, and health, crime and transport studies. Currently she leads the EPSRC STANDARD project – Spatio-Temporal Analysis of Network Data and Road Developments – which is studying congestion in central London using innovative statistical and machine learning approaches (http://standard.cege.ucl.ac.uk). She will also lead EPSRC Project on Crime, Policing and Citizenship (CPC) – Space-Time Interactions of Dynamic Networks (2012-2015, www.ucl.ac.uk/cpc). She can be reached at tao.cheng@ucl.ac.uk.
Cheng is the Director of the Centre for Spatio-Temporal Analysis and Modelling, and the Course Director of MSc in GIS in UCL. She has studied and lectured in China, the Netherlands, Hong Kong, France and the UK before she joined UCL in 2006. She has over 150 publications and is a past recipient of the U. V. Helava Award for the best paper in the ISPRS Journal of Photogrammetry and Remote Sensing. She is also a visiting professor at Wuhan University and at the Institute of Remote Sensing Applications, Chinese Academy of Science. She received her Doctor of Philosophy from Wageningen Agriculture University, The Netherlands (1999), and Master of Science in Remote Sensing (1992), and Bachelor of Science in Civil Engineering Surveying (1989), both from Wuhan Technical University of Surveying and Mapping (now Wuhan University).
