报告时间：2016年6月23日(星期四)，上午10：00
报告地点：浙江大学紫金港校区蒙民伟楼CAD&CG国家重点实验室402室
报告题目：Toward Semantic Understanding of Human Mobility Data
报告人：Dr. Zhenhui (Jessie) Li
主持人：蔡登教授
Title: Toward Semantic Understanding of Human Mobility Data
Abstract: With increasing prevalence of GPS technology and social media, we are able to collect large-scale urban data from a variety of sources. Such heterogeneous urban data are highly correlated and enable us to semantically understand human behaviors and social problems. In this talk, I will present our recent work in using social media, points-of-interest, and taxi flows to understand human mobility and to predict crime rate. In particular, I will present the techniques on how to detect social relationships from human movement traces, how to annotate semantics on trajectory data, and how to improve crime inference by harnessing taxi flow data. I will also share my views of interdisciplinary research based on my collaborations with social scientists, animal scientists, and geoscientists.
Bio: Dr. Zhenhui (Jessie) Li is an assistant professor in College of Information Sciences and Technology, Pennsylvania State University. She got her PhD degree in Computer Science from University of Illinois Urbana-Champaign in 2012 and then joined Penn State. Her research has been focused on mining heterogeneous and large-scale spatial and temporal data with applications in ecology, environment, social science, urban computing, and transportation. To learn more, please visit her homepage: https://faculty.ist.psu.edu/jessieli
