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Aiman Soliman, Ph.D., is a Research Assistant Professor and Research Scientist at the National Center for Supercomputing Applications (NCSA). He specializes in applying quantitative computational methods, spatial analysis, and machine learning to spatial information. His research examines the form and structure of urban fabric through the lens of big data, focusing on feedback patterns within natural urban systems and investigating connections between urban heterogeneity and a variety of outcomes, including public health. His publications leverage data-driven approaches to analyze regional dynamics and the impact of collective human mobility patterns on the outbreak of diseases and the effects of climate change on urban settlements.
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