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College of Arts and Sciences

Faculty and Staff

Zhenlong Li

Title: Assistant Professor
Department: Geography
College of Arts and Sciences
Phone: 803-777-4590
Office: Callcott, Room 320
Resources: Curriculum Vitae [pdf]
Department of Geography
Zhenlong Li


Dr. Zhenlong Li joined the Department of Geography as Assistant Professor in 2015 after receiving his Ph.D in Earth Systems and Geoinformation Sciences from George Mason University (GMU). Dr. Li received his Bachelors (2006) in GIS from Wuhan University and Masters (2010) in Earth System Science from GMU. Dr. Li also served as a GIS engineer in Heilongjiang Bureau of Surveying and Mapping from 2010 to 2012.



Dr. Li’s research focuses on spatial high-performance/cloud computing, big data processing/mining, and geospatial cyberinfrastructure within the area of data and computational intensive GISciences. Dr. Li’s research aims to optimize spatial computing infrastructure by integrating cutting-edge computing technologies and spatial principles to support domain applications such as climate change and hazard management.


Representative Publications 

Li Z., Yang C., Yu M., Liu K., Sun M. Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework, 2015, PloS one, 10(3), e0116781.

Xia J, Yang C, Liu K, Li Z,Sun M, Yu M, 2015. Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services, International Journal of Geographic Information Science, DOI: 10.1080/13658816.2014.968783

Li Z., Yang, C., Huang, Q., Liu K., Sun, M., Xia, J., 2014. Building Model as a Service for supporting geosciences, Computers, Environment and Urban Systems. DOI: 10.1016/j.compenvurbsys.2014.06.004

Li Z., Yang C., Wu H., Li W., and Miao L., 2011. An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciences, International Journal of Geographic Information Science, 25(4):595-613

Yang C., Wu H., Huang Q., Li Z., and Li J., 2011. Using spatial principles to optimize distributed computing for enabling the physical science discoveries, Proceedings of National Academy of Sciences, 108(14): 5498-5503