Aiman Soliman

Aiman Soliman is a Research Assistant Professor in Urban and Regional Planning and a Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign. His work bridges spatial data science with urban systems analysis, focusing on applications of machine learning to understand urban environments and public health outcomes.

Education:

• Ph.D. in Environmental Sciences and Remote Sensing, University of Guelph, 2010
• MS in Geographic Information Science, University of Twente, 2004
• BS in Land Resources, Ain Shams University, 1999

Research Interests: Aiman specializes in applying computational methods to study urban systems, including spatial analysis of disease transmission dynamics, urban climate impacts, and social sensing via social media data. His work integrates geospatial data with machine learning to model feedback between human activities and environmental systems.

Research Highlights:

• Analyzing tourism patterns and mosquito-borne disease spread in the Americas
• Developing cyber-infrastructure tools for Arctic land surface monitoring
• Exploring urban heterogeneity's impact on lung cancer disparities

Data Solutions: Partners with NCSA on industrial projects in energy, finance, and agriculture, deploying production-ready data systems.