About Shaowen Wang
Shaowen Wang is a Professor and Head of the Department of Geography and Geographic Information Science; Richard and Margaret Romano Professorial Scholar; and an Affiliate Professor of the Department of Computer Science, Department of Urban and Regional Planning, and School of Information Sciences at the University of Illinois at Urbana-Champaign (UIUC). He has served as Founding Director of the CyberGIS Center for Advanced Digital and Spatial Studies at UIUC since 2013. He served as Associate Director of the National Center for Supercomputing Applications (NCSA) for CyberGIS from 2010 to 2017 and Lead of NCSA’s Earth and Environment Theme from 2014 to 2017. His research interests include geographic information science and systems (GIS), advanced cyberinfrastructure and cyberGIS, complex environmental and geospatial problems, computational and data sciences, high-performance and distributed computing, and spatial analysis and modeling. His research has been actively supported by a number of U.S. government agencies (e.g., CDC, DOE, EPA, NASA, NIH, NSF, USDA, and USGS) and industry. He has served as the principal investigator of several multi-institution projects sponsored by the National Science Foundation (NSF) for establishing the interdisciplinary field of cyberGIS and advancing related scientific problem solving in various domains (e.g., agriculture, bioenergy, emergency management, geography and spatial sciences, geosciences, and public health). He has published 140+ peer-reviewed papers including articles in 30+ journals. He has served as an action editor of GeoInformatica, associate editor of SoftwareX, and guest editor or editorial board member for multiple other journals, book series, and proceedings. He served on the University Consortium for Geographic Information Science’s (UCGIS) board of directors from 2009 to 2012 and President of UCGIS from 2016 to 2017. He served on the advisory board of the NSF Extreme Science and Engineering Discovery Environment (XSEDE) program from 2016 to 2018. He has served as a member of the Board on Earth Sciences and Resources of the National Academies of Sciences, Engineering, and Medicine since 2015. He was a visiting scholar at Lund University, sponsored by NSF in 2006, and a NCSA fellow in 2007. He received the NSF CAREER Award in 2009. He was named a Helen Corley Petit Scholar for 2011-2012 and Centennial Scholar for 2013-2016 by UIUC’s College of Liberal Arts and Sciences.
- PhD, Geographic Information Science, University of Iowa (2004)
- MCS, Computer Science, University of Iowa (2002)
- MS, Geography, Peking University (1998)
- BS, Computer Engineering, Tianjin University, China (1995)
Research and publications
Ongoing and upcoming research
Shaowen Wang is trained as both a geographer and computer scientist. His research interests center on three interrelated themes: 1) computational and geographic information sciences; 2) advanced cyberinfrastructure, cyberGIS, and geospatial data science; and 3) multi-scale geospatial problem solving and spatiotemporal analytics. He has published numerous peer-reviewed papers including articles in more than 20 journals (e.g., Annals of the American Association of Geographers, BioScience, Computers and Geosciences, International Journal of Geographical Information Science, Parallel Computing, and Proceedings of the National Academy of Sciences). He led the development of the Open Science Grid Generic Information Provider that has been widely used. He has also led several multi-institution projects to advance cyberGIS and related scientific problem solving. Wang invented and has been leading the research and development of GISolve Toolkit that represents cutting-edge software for cyberGIS integration and applications (e.g., in agriculture, bioenergy, emergency management, geography and social sciences, geosciences, and public health). He was the founding manager of the Grid Research and educatiOn group @ ioWa (GROW) to foster computational science research and education by a multidisciplinary team within several Iowa higher education institutions. Currently, he is the founding director of the CyberInfrastructure and Geospatial Information Laboratory (CIGI Laboratory) and CyberGIS Center for Advanced Digital and Spatial Studies (CyberGIS Center) at the University of Illinois at Urbana-Champaign.
Summary of Extramural Research Funding: (received from the U.S. National Science Foundation (NSF), Centers for Disease Control and Prevention (CDC), Department of Energy (DOE), Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), U.S. Department of Agriculture (USDA), U.S. Geological Survey (USGS), and industry): Principal Investigator (PI) for more than $15 million competitive research grants; PI for tens of millions of normalized computing hours of NSF supercomputing resources; and Co-PI and investigator for contributing to sponsored research with tens of millions of U.S. dollars.
Jiang, H., Hu, H., Wang, S., Ying, Y., and Lin, T. (2020) “Understanding the Impact of Sub-Seasonal Meteorological Variability on Corn Yield in the U.S. Corn Belt”. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2020.138235
Kang, J. Y., Aldstadt, J., Vandewalle, R., Yin, D., and Wang, S.(2020) “A CyberGIS Approach to Spatiotemporally Explicit Uncertainty and Global Sensitivity Analysis for Agent-based Modeling of Vector-borne Disease Transmission”. Annals of the American Association of Geographers, https://doi.org/10.1080/24694452.2020.1723400
Li, T., Stanislawski, L.V., Brockmeyer, T, Wang, S., and Shavers, E.(2020) OpenCLC: An Open-Source Software Tool for SimilarityAssessment of Linear Hydrographic Features. SoftwareX, DOI:10.1016/j.softx.2020.100401
Cai,Y., Guan,K., Nafziger,E., Chowdhary,G., Peng,B., Jin,Z., Wang, S., and Wang,S-B.(2020) “Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV-and CubeSat-Based Multispectral Sensing”.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, https://doi.org/10.1109/JSTARS.2019.2953489
Yin, D., Wang, S., and Ouyang, Y. (2020) “ViCTS: A Novel Network Partition Algorithm for Scalable Agent-Based Modeling of Mass Evacuation”. Computers, Environment and Urban Systems, https://doi.org/10.1016/j.compenvurbsys.2019.101452
Teaching and advising
- Advanced Digital and Spatial Studies (for graduate)
- Advanced Geographic Information Systems (for both graduate and undergraduate)
- Introduction to Geographic Information Systems (for undergraduate)
- Principles of Geographic Information Systems (for both graduate and undergraduate)
- Topics in Geographic Information Science (for graduate)