GVU Center Brown Bag: Diansheng Guo — Mobility Data Analytics—Challenges, Methods, and Applications
The analyses of mobility data are involved in a wide range of domains such as demography, public health, urban planning, transportation, business, and biology. Mobility data consists of a set of moving objects, each having a sequence of sampled locations as it moves across space and time. In addition to a general overview of challenges for mobility analytics, this talk focuses on introducing a set of methodologies for mobility data mining, visualization, prediction, optimization, and their real-world applications.
Dr. Diansheng Guo is currently the Chief Scientist and Technology Committee Chair at Tencent Map, Tencent. Prior to joining Tencent, he was Professor of Geography at the University of South Carolina. He received his B.S. degree from Peking University, M.S. from Chinese Academy of Sciences, and Ph.D. from the Pennsylvania State University. Dr. Guo has been conducting research in the fields of GIScience, big data analytics, information visualization, and recently in geospatial technologies in industry. He received the NSF CAREER Award in 2008. He was the President (2012) and Chair of Board (2013) for the International Association of Chinese Professionals in Geographic Information Sciences (CPGIS).
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