Guofeng Cao

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Assistant Professor
Department of Geosciences
Texas Tech University

Email: guofeng.cao@ttu.edu
                      
Office Address:

Room 211
Holden Hall
Texas Tech University
Lubbock, TX 79409
Mail Address:

MS-1053
Science Building Room 125
Texas Tech University
Lubbock, TX 79409-1053


I am currently an assistant professor in the Department of Geosciences at Texas Tech University.  I received my Ph.D. from the Department of Geography at the University of California, Santa Barbara (UCSB), and M.A. from the Department of Statistics and Applied Probability at UCSB. I also hold a M.S. in Cartography and Geographic Information Science from Chinese Academy of Sciences, and a B.S. in Earth Sciences (with minor in Computer Science) from Zhejiang University, China.

Prior to Texas Tech,  I worked at the Cyberinfrastructure and Geospatial Information Laboratory (CIGI), University of Illinois at Urbana-Champaign as a postdoctoral research associate.  Before moving to the US, I was leading the research and development on efficient spatial analysis and geovisualization in the core group of SuperMap. I was also affiliated in the Institute of Geographical Sciences and Natural Resource Research, Chinese Academy of Sciences as a research scientist.  Please find more information in my (mildly out of date) curriculum vitae (.pdf).

Research Summary

My research primarily involves geographic information science and the the application of formal (mathematical and computational), visual and geospatial  techniques (e.g., GIS, GPS and remote sensing ) to spatio-temporal aspects of  theoretical and methodological problems within the areas of environmental science and engineering,  public health, urban dynamics, petroleum engineering, and quantitative methodology.

Current research topics include representation and modeling of spatiotemporal changes/dynamics, location-based social media data analysis, heterogeneous spatiotemporal data fusion, spatial cognition, and applications of extremely high performance computing cyberinfrastructure (e.g. XSEDE) to addressing the computing challenges of these research topics when facing 'big' spatiotemporal problems.  Please see the Projects and Publication sections for detailed information.

Teaching




Updated: Oct. 2013