Dr. Xuan Shi

Dr. Xuan Shi
JB Hunt 424
University of Arkansas
Fayetteville, AR 72701

Phone: 479-575-7906
FAX: 479-575-3469
xuanshi@uark.edu
Degrees Ph.D. West Virginia University
  M.S. Indiana University of Pennsylvania
  B.S. Hubei University
Teaching Areas
GEOS 3103 | 5703 Geospatial Computing Toolkit
GEOS 4513 | 5513 Introduction to GIS Programming
GEOS 4643 | 5643 Introduction to Internet GIS
GEOS 3543 | 5543 Geospatial Applications and Information Science. Co-instructor.
GEOS 3593 | 5593 Introduction to Geodatabase. Co-instructor
Research Interests
Geographic Information System and Science
Geospatial Cyberinfrastructure
High performance geocomputation
Spatial databases and geospatial applications
Data mining and machine learning
GIS interoperability and system integration
Funded Research Projects
DOE DE-EE0002661 and DOE DE-FG36-08GO18174 for potential extractable energy from the Nation’s tidal streams and ocean currents along U.S. coast (2008-2012)
NSF CCF-1048162 “CiC: EAGER: Collaborative: GIS Vector Data Overlay Processing on Azure Platform” (2010-2012)
NSF OCI-1047916 “SI2-SSI: CyberGIS Software Integration for Sustained Geospatial Innovation” (2010-2014)
NIH 1R21CA182874-01 "Reducing physician distribution uncertainty in spatial accessibility research" (2014-2015)
NSF SMA-1416509 “IBSS: Spatiotemporal Modeling of Human Dynamics Across Social Media and Social Networks” (2014-2018)
NSF SMA-1760185 “RAPID: Capital, Coping, and the Displaced: Health, Well-Being, and Resiliency Among Hurricane Harvey Evacuees” (2017-2018)
Chancellor’s Discovery, Creativity, Innovation, and Collaboration Fund. "Closing the Gap between Food Waste and Hunger in Northwest Arkansas: Food Insecurity and the Development/Implementation of a Mobile Food Delivery System" (2017 – 2019)
NSF CMMI-1745353 “EAGER: SSDIM: Data Simulation to Support Interdependence Modeling in Emergency Response and Multimodal Transportation Networks” (2017-2019)
NIH 1R56ES028406-01A1 "Data Infrastructure and Gateway for Public Health Research on the Environmental Causes of Disease" (2018-2019)
Selected Publications
Shi, X. 2017. Parallelizing Affinity Propagation using GPUs for Spatial Cluster Analysis over Big Geospatial Data. In Griffith, D. et al. (eds) Advances in Geocomputation: Proceedings of the Geocomputation 2015 – The 13th International Conference. pp. 355-369.
Shi, X., Xue, B. and Xierali, I. 2016. Identifying the Uncertainty in Physician Practice Location through Spatial Analytics and Text Mining. Int. J. Environ. Res. Public Health 2016, 13(9), 930; doi:10.3390/ijerph13090930
Shi, X. and Xue, B. 2016. Deriving a Minimum Set of Viewpoints for Maximum Coverage over Any Given Digital Elevation Model Data. International Journal of Digital Earth. Volume 9, Issue 12. pp. 1153-1167.
Shi, X. and Xue, B. 2016. Parallelizing maximum likelihood classification on computer cluster and graphics processing unit for supervised image classification. International Journal of Digital Earth. http://www.tandfonline.com/doi/full/10.1080/17538947.2016.1251502
Shi, X. and Huang, M. 2016. MIC in GIS. In Shekhar, S. et al. (eds) Encyclopedia of GIS. Published by Springer.
Shi, X. and Huang, M. 2016. GPGPU in GIS. In Shekhar, S. et al. (eds) Encyclopedia of GIS. Published by Springer
Lai, C., Huang, M. and Shi, X. 2016. SRC: Accelerating the Calculation of Minimum Set of Viewpoints for Maximum Coverage over Digital Elevation Model Data by Hybrid Computer Architecture and Systems. Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. San Francisco, CA.
Guan, Q., Shi, X., Huang, M., and Lai, C. 2016. A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures. International Journal of Geographical Information Science. Volume 30, Issue 3. pp. 494-514. DOI: 10.1080/13658816.2015.1039538
Shi, X., Xue, B. and Xierali, I. 2015. Understanding the clustering patterns in physician distribution through Affinity Propagation. Proceedings of the 23rd International Conference on Geoinformatics. pages 320-323. Published by IEEE Xplore® Digital Library.
Tullis, J. A., Cothren, J. D., Lanter, D. P., Shi, X., Limp, W. F., Linck, R. F., Young, S. G. and Alsumaiti, T. 2015. Geoprocessing, Workflows, and Provenance. In Remote Sensing Handbook: Remotely Sensed Data Characterization, Classification, and Accuracies. Edited by P. Thenkabail, 401-421, Vol. 1. Boca Raton, FL: CRC Press.
Yang, X., Haasa, K. A., Fritza, H. M., French, S. P., Shi, X., Neary, V.S., and Gunawand, B. 2015. National geodatabase of ocean current power resource in USA. Renewable and Sustainable Energy Reviews. Volume 44, pp. 496–507. doi:10.1016/j.rser.2015.01.007
Huang, M., Lai, C., Shi, X., Hao, Z. and You, H. 2015. Study of Parallel Programming Models on Computer Clusters with Intel MIC Coprocessors. International Journal of High Performance Computing Applications, April 2015. doi: 10.1177/1094342015580864
Shi, X., Lai, C., Huang, M. and You, H. 2014. Geocomputation over the Emerging Heterogeneous Computing Infrastructure. Transactions in GIS, vol. 18, no. S1, pp. 3-24, Nov. 2014.
Shi, X., Huang, M., You, H., Lai, C. and Chen, Z. 2014. Unsupervised image classification over supercomputers Kraken, Keeneland and Beacon. GIScience & Remote Sensing, Volume 51, Issue 3. 2014. pp. 321-338
Shi, X. and Nellis, M. D. 2014. Semantic Web and service computation in GIScience applications: a perspective and prospective. Geocarto International. Volume 29, Issue 4, 2014. pp. 400-417
Shi, X. and Ye, F. 2013.  Kriging interpolation over heterogeneous computer architectures and systems. GIScience & Remote Sensing. Volume 50, Issue 2, 2013. pp.196-211
Shi, X. 2013. The Semantics of Web services: An Examination in GIScience Applications. ISPRS International Journal of Geo-Information. 2(3), 888-907.
Ye, F. and Shi, X. 2013. Parallelizing ISODATA Algorithm for Unsupervised Image Classification on GPU. In: Modern Accelerator Technologies for GIScience. pp 145-156. Springer
Defne, Z., Haas, K. A., Fritz, H. M., Jiang, L., French, S. P., Shi, X., Smith, B. T., Neary, V. S. and Stewart, K. M. 2012. National geodatabase of tidal stream power resource in USA. Renewable and Sustainable Energy Reviews, Volume 16, Issue 5, June 2012, Pages 3326–3338