Dear all,
You are cordially invited to attend the third webinar of the Fall 2023 CPGIS Educational Webinar Series - GeoAI-Driven Spatiotemporal Process Understanding And Forecasting. Please find attached the flyer.
Registration: https://www.eventbrite.com/e/2023-fall-cpgis-education-webinar-series-all-events-pass-tickets-718334496817
US Eastern Time: Thursday, 10/12/2023, 9:00-10:00 PM
Beijing Time: Friday, 10/13/2023, 9:00-10:00 AM
Guest Speaker: Dr. Wei Tu
Title: Towards Smart Urban Mobility by Coupling Spatiotemporal Trajectory Analytic and Deep Graph Learning
题目:面向智慧城市出行的时空轨迹分析与图深度学习融合
Abstract: Urban mobility is experiencing disruptive innovations with spatiotemporal data and GeoAI. This talk will present a comprehensive study to reveal spatial, temporal, and social patterns of urban mobility with multi-source trajectories. The got spatiotemporal knowledge is integrated into an intelligent framework to forecast travel demand and plan routes in complex urban environment. The results demonstrate the proposed algorithms will significantly improve the performance of urban mobility management. This study will provide useful insights to fusetrajectory analytic and GeoAI for future smart urban mobility.
报告人:Wei Tu, Associate Professor, Shenzhen University. 涂伟,副教授,深圳大学
Bio: Dr. Tu is an associate professor of urban informatics in Shenzhen University. He received the PhD degree from Wuhan University in 2013. He has been the co-chair of the WG IV/10, ISPRS (2016-2022), the visiting professor of MIT, the Young Scholar of Ministry of Education, China. His research focuses on spatiotemporal data fusion, data-driven and model-driven smart city applications. He has published more than 60 SSCI/SCI journal articles. He has been awarded the first prize of the Science and Technology of Surveying and Mapping (2021), the Second Prize of Science and Technology Progress of the Ministry of Education (2019) and the first prize of Geo-information Technology Progress (2014, 2015).