WenWen Li

Crosscutting Scholar 2018–2021
ASU School of Geographical Sciences & Urban Planning

Tempe Campus


Wenwen Li's research interest is geographic information science with a focus on cyberinfrastructure, big data, semantic interoperability, spatial information retrieval, and distributed geospatial information processing. She heads the CyberInfrastructure and Computation Intelligence Lab in the School of Geographical Sciences and Urban Planning. 
Li's research aims to develop integrated, sustainable and smart cyber-infrastructure to revolutionize knowledge discovery in data and computational intensive geographical sciences. Li hopes to utilize state-of-the-art semantic technology to improve the access, integration and spatiotemporal reasoning of distributed GIS data, analytical tools and models. She is also interested in developing analytical methods (e.g., spatial optimization) to support regional economic modeling. 
Li's work has been applied in several scientific disciplines, including polar science, climatology, public health, hydrology and urban studies. Her research has been supported by various funding agencies, including the National Science Foundation (NSF), United States Geological Survey (USGS), and Open Geospatial Consortium. Li was the chair of the Association of American Geographers' cyber-infrastructure specialty group from 2013-2014; a member of the Spatial Decision Support Consortium at the University of the Redlands (2015-); and a graduate faculty member in the Computer Science program at ASU (2016-). Li is also the 2015 NSF CAREER award winner — NSF's most prestigious award for junior faculty. Before joining ASU, she worked at the Center for Spatial Studies at the University of California at Santa Barbara from 2010-2012.


Ph.D. Earth System and Geoinformation Science, George Mason University 2010

M.S. Signal and Information Processin, Institute of Remote Sensing Applications, Chinese Academy of Sciences 2007

B.S. Computer Science, Beijing Normal University 2004

Expertise Areas

Computational Spatial Science


Earth Systems

Data Mining

Climate Science