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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

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.

Current Research

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

Courses Taught

Geog 170, Our Digital Globe: An Overview of GIScience and its Technology, Fall and Spring
Geog 676, Web Spatial Database Development and Programming, Spring

Selected Publications

Huang Q., C. Xu, 2014. A Data-Driven Framework for Archiving and Exploring Social Media Data, Annual of GIS. (in press)

Li R., Feng W., Wu H., Huang, Q., 2014. A replication strategy for a distributed high-speed caching system based on spatiotemporal access patterns of geospatial data. Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2014.02.009

Li Z., Yang C., Huang Q., Liu K., Sun M., Xia J., et al., 2014. Building Model as a Service to Support Geosciences. Computers, Environment and Urban Systems. (in press)

Xia J., Yang C., Liu K., Gui Z., Li Z., Huang Q., & Li, R. (2014). Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives. International Journal of Digital Earth. DOI:10.1080/17538947.2014.929750.

Gui Z., Yang C., Huang Q. et al., 2014. A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services, PLOS ONE. (in press)

Huang Q., Li Z., Liu K., Xia J., Xu C., Jiang Y., Yu M., Yang C., 2014. Accelerating Geocomputation with Cloud Computing. In: Shi X., Kindratenko, V., Yang C., eds. Modern Accelerating Technologies for GIScience. Springer.

Huang Q., Yang C., Liu K., Xia J., Xu C., Li J., Gui Z., Sun M., Li Z., 2013. Evaluating Open Source Cloud Computing Solutions for Geosciences, Computers & Geosciences, 59(9): 41-52.

Huang Q., Yang C., Benedict K., Chen, S., Rezgui A., Xie J., 2013. Utilize Cloud Computing to Support Dust Storm Forecasting, International Journal of Digital Earth, 6(4): 338-355.

Huang Q., Yang C., Benedict K., Rezgui A., Xie J., Xia J., Chen, S., 2013. Using Adaptively Coupled Models and High-performance Computing for Enabling the Computability of Dust Storm Forecasting, International Journal of Geographic Information Science, 27(4): 765-784.

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

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., 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.

Sun M., Li J., Yang C., Schmidt G.A., Bambacus M., Cahalan R., Huang Q., Xu C., Noble E.U., Li Z., 2012. A Web-based Geovisual Analytical Tool for Spatiotemporal Climate Data, Future Internet. DOI: 10.3390/fi4041069.

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.

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.

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.

Contact Information

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

Mailing Address:
Department of Geography
University of Wisconsin-Madison
Science Hall, Room 426
550 North Park Street
Madison, WI 53706

Phone: 608-890-4946

Email: : qhuang46@wisc.edu

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