[CSEE Talk] talk: Spatiotemporal Data Mining and Analytics, Noon 3/3, UMBC

[Tim Finin]

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

            Shen-Shyang Ho, Nanyang Technological University

               Noon Thursday, 3 March 2015, 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, cmat at umbc.edu