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Qunying Huang

Assistant Professor

Photo of Qunying Huang

Education

Ph.D., Earth Systems and Geoinformation Sciences, George Mason University, 2011
M.S., Cartography and Geographical Information Science, Peking University, 2007
B.S., Survey and Mapping Engineering, Central South University, 2004

Research Areas

Spatial high-performance/grid/cloud computing
Spatial web service, architecture and portal
Environmental modeling and simulation
Spatiotemporal computing optimization
Geospatial interoperability

My research primarily focuses on geo-computing, optimization, geospatial environmental modeling, and model interoperability within the general area of Geographic Information Science (GIScience). I develop large-scale distributed computing algorithms and apply different computing models (e.g., cloud and GPU computing) to address contemporary challenges in the GIScience.

Courses Taught

GEOG 170, Our Digital Globe: An Overview of GIScience and its Technology, 2013 Fall

GEOG 676, Web Spatial Database Development and Programming, 2014 Spring

Selected Publications

Yang C., Huang Q., Li. Z., Xu C., Liu K., 2013.(eds.). Spatial Cloud Computing: A Practical Approach, CRC Press/Taylor & Francis, ISBN: 978-1-4665-9316-9.

Huang Q., Yang C., Liu K., Xia J., Xu C., Li J., Gui Z., Sun M., Li Z., 2013. Comparing Open Source Cloud Computing Solutions for Geosciences, Computers & Geosciences. http://dx.doi.org/10.1016/j.cageo.2013.05.001.

Huang Q., Yang C., Benedict K., Chen, S., Rezgui A., Xie J., 2013. Enabling Dust storm Forecasting Using Cloud Computing, International Journal of Digital Earth. DOI:10.1080/17538947.2012.749949.

Li J., Jiang Y., Yang C., Huang Q., Rice M., 2013. Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs), Computers & Geosciences. DOI: j.cageo.2013.04.029.

Huang Q., Yang C., Benedict K., Rezgui A., Xie J., Xia J., Chen, S., 2012. Using Adaptively Coupled Models and High-performance Computing for Enabling the Computability of Dust Storm Forecasting, International Journal of Geographic Information Science. DOI:10.1080/13658816.2012.715650.

Huang Q., Xia J., Yang C., Hassan M., Chen S., 2012. An Experimental Study of Open-Source Cloud Platforms for Dust Storm Forecasting, Proceedings of the ACM SIGSPATIAL 2012, Nov 6-9, Redondo Beach, CA, pp.534-537.

Huang Q., Yang C., 2011. Optimizing Grid Configuration to Support Geospatial Processing – an example with DEM interpolation, Computer & Geosciences, 37(2): 165-176.

Yang C., Wu H., Huang Q., Li Z., Li J., 2011. Spatial Computing for Supporting Physical Sciences, Proceedings of National Academy of Sciences, 108(14):5498-5503.

Yang C., Goodchild M., Huang Q., Nebert D., Raskin R., Bambacus M., Xu Y., Fay D., 2011. Spatial Cloud Computing – How Can Geospatial Sciences Use and Help to Shape Cloud Computing, International Journal of Digital Earth, 4(4): 305-329.

Huang Q., Yang C., Nebert D., Liu K., Wu H., 2010. Cloud Computing for Geosciences: Deployment of GEOSS Clearinghouse on Amazon's EC2, Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, San Jose, CA, pp.35-38.

Xie J., Yang C., Zhou B., Huang Q., 2010. High Performance Computing for the Simulation of Dust Storms. Computers, Environment, and Urban Systems, 34(4): 278-290.

Contact Information

Office Hours: M 2:30 -3:30 PM, T & R 4:00-5:00 PM

Phone: 608-890-4946

qhuang46@wisc.edu


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