主讲人简介：

Yan Huang (PhD, University of Minnesota) received  her B.S. degree in Computer Science from Peking University, Beijing, China, 1997  and Ph.D. degree in, Computer Science from University of Minnesota, USA, 2003.  She is currently a professor at the Department of Computer Science and  Engineering and the Associate Dean for Research and Graduate Studies at the  University of North Texas, Denton, TX, USA. Her research interests include  machine learning and data mining especially from big geo-referenced datasets  such as social media and transportation data, smart transportation, and  geo-stream data processing. She has been a visiting scholar of Microsoft  Research Asia May – August 2011. During Fall 2011, she visited Fudan University,  China. Currently, she is on the Board of Directors of The  SSTDEndowment (2014-2019), is the general chair of SSTD  2017, was the General  Chair of ACM SIGSPATIAL 2014 and 2015, and on the Executive Committee of  ACMSIGSPATIAL (2010-2014). She received Distinguished Service Award from  ACMSIGSpatialin2010. Her research has been/is supported by Texas Advanced  Research Program (ARP), Oak Ridge National Lab, National Science Foundation,  Texas Department of Transportation, and U.S. Department of Defense.

报告摘要：

The number of worldwide social network users is  expected to reach 2.5 billion by 2018 (1/3 of Earth’s population). A tremendous  amount of information is being shared everyday on social media sites.  This  massive popularity has lends itself to event detection (social gatherings,  natural disaster occurrences, and insurgent activities). Spatiotemporal  analytics from social media can assist assimilating social media information of  interest in targeted geographic regions and to staying informed about emerging  issues related to national security. We present our work in the area of  generating spatiotemporal intelligence in terms of geotagging, location  recognition, spatiotemporal correlation detection, and event detection from big  social media data and outline challenges and opportunities.  

语言：英文