Spatiotemporal Data Mining and Analytics:
Issues, Methods, and Applications

Shen-Shyang Ho, Nanyang Technological University

12:00pm Thursday, 3 March 2016, ITE325b, UMBC

The extensive and ubiquitous uses of sensors (e.g., satellites, in-situ sensors) and smartphones have resulted in the collection of huge amount of time-stamped data with location information. These large-scale dynamic datasets present many research challenges and application opportunities. In this talk, I describe my research work on spatiotemporal tasks related to (1) application-specific pattern mining, (2) prediction methods, (3) similarity search, and (4) privacy issue. Moreover, I highlight my new research direction in array-based distributed database for spatiotemporal domains.

Shen-Shyang Ho is a tenure-track assistant professor in the School of Computer Engineering at the Nanyang Technological University in Singapore since January 2012. Before this, he was a researcher at the University of Maryland, College Park from 2010 to 2011. He was a postdoctoral scholar at the California Institute of Technology from 2009 to 2010 and a NASA postdoctoral fellow at the Jet Propulsion Laboratory (JPL) from 2007 to 2009. Shen-Shyang received his Ph.D. in Computer Science from George Mason University in 2007 and his Bachelor (Honors) in Science (Mathematics and Computational Science) from the National University of Singapore in 1999. His research was supported by NASA, JPL, and GSFC between 2007 and 2012. His current research is supported by the Ministry of Education (Singapore), National Research Foundation (Singapore), Rolls Royce (UK), and BMW (Germany). He has two US patents and one pending Germany patent. He has given technical tutorials at AAAI (2011), IJCNN (2011), and ECML (2014).

Host: Cynthia Matuszek