讲座编号：jz-yjsb-2017-y005
讲座问题：Urban Visualization and Analysis
讲座时间：2017年03月09日（周四）上午10:00
讲座所在：阜成路西校区教3楼374室
加入工具：相关学科西席、研究生、留学生
主理单位：研究生院
承办单位：盘算机与信息工程学院
主讲人简介：
Xiaoru Yuan is a tenured faculty member in the School of Electronics Engineering and Computer Science. He services as the vice director of Information Science Center, at Peking University. He received Bachelor degrees in chemistry and law from Peking University, China, in 1997 and 1998, respectively. He received the Ph.D. degree in computer science in 2006, from the University of Minnesota at Twin Cities. His primary research interests are in the field of visualization and visual analytics. He has co-authored over 70 technical papers in IEEE VIS/TVCG/PacificVis, EuroVis and other major international visualization conference and journals. His co-authored work on high dynamic range volume visualization received Best Application Paper Award at the IEEE Visualization 2005 conference. He led his student team won six awards in IEEE VAST Challenges. He served on the program committees of IEEE VIS and many other international conferences. He was organization co-chair of IEEE PacificVis 2009, program chair of VINCI 2010 and paper chair of IEEE PacificVis 2016, poster co-chair of IEEE VIS 2015 and 2016, paper chair of IEEE VIS 2017. He co-founded the ChinaVis conference since 2014 and served as the conference Chair on 2015. He also served on the editorial board of CCF journal of CAD&CG and Springer Journal of Visualization, and as guest editor of IEEE TVCG and IEEE CG&A.
主讲内容：
Understanding the complex nature of activities in modern metropolitan regions are difficult due to the vast amount of data required for processing and analysis. Visualization provides essential accesses for users to comprehend such big data and gain insights, which is crucial for decision makers, political figures, as well as the general public. This talk will discuss visualization cases covering various types of urban data, including vehicle GPS and RFID records, subway IC card logs, mobile phone signals and social media data. We will demonstrate how different data sets can be integrated for advanced visual analysis. With the assistant of properly designed visualization and interaction, both general public and experts can interactively conduct the data exploration, mental image construction, and insight discovery.