Biography
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 150+ peer-reviewed papers including articles in 40+ 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 served as a member of the Board on Earth Sciences and Resources of the National Academies of Sciences, Engineering, and Medicine from 2015 to 2020. 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.
Education
- PhD, Geography, the University of Iowa
- MS, Computer Science, the University of Iowa
- MS, Geography, Peking University
- BS, Computer Engineering, Tianjin University
Courses Taught
- GEOG 595 - Advanced Digital and Spatial Studies
- GEOG 480 - Principles of GIS
- GEOG 479 - Advanced GIS
- GEOG 407 - Foundations of CyberGIS and Geospatial Data Science
- GEOG 379 - Introduction to GIS
Additional Campus Affiliations
Professor, School of Information Sciences
Professor, Computer Science
Recent Publications
Chen, L., Xu, Z., Li, Q., Peng, J., Wang, S., & Li, H. (Accepted/In press). An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3051641
Choi, Y. D., Goodall, J. L., Sadler, J. M., Castronova, A. M., Bennett, A., Li, Z., Nijssen, B., Wang, S., Clark, M. P., Ames, D. P., Horsburgh, J. S., Yi, H., Bandaragoda, C., Seul, M., Hooper, R., & Tarboton, D. G. (2021). Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environmental Modelling and Software, 135, [104888]. https://doi.org/10.1016/j.envsoft.2020.104888
Jiang, H., Hu, H., Li, B., Zhang, Z., Wang, S., & Lin, T. (2021). Understanding the non-stationary relationships between corn yields and meteorology via a spatiotemporally varying coefficient model. Agricultural and Forest Meteorology, 301-302, [108340]. https://doi.org/10.1016/j.agrformet.2021.108340
Stanislawski, L. V., Shavers, E. J., Wang, S., Jiang, Z., Usery, E. L., Moak, E., Duffy, A., & Schott, J. (2021). Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling. Remote Sensing, 13(12). https://doi.org/10.3390/rs13122368
Wang, S., Lyu, F., Wang, S., Catlett, C. E., Padmanabhan, A., & Soltani, K. (2021). Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics. In W. Shi, M. Goodchild, M. Batty, M-P. Kwan, & A. Zhang (Eds.), Urban Informatics (pp. 663-681). (The Urban Book Series). Springer. https://doi.org/10.1007/978-981-15-8983-6_36
