Aiman S Soliman

Aiman S Soliman serves as a Research Assistant Professor in Urban and Regional Planning and Senior Research Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign, with additional affiliation at the Center for Digital Agriculture. His interdisciplinary work integrates geospatial data science, machine learning, and high-performance computing to address complex challenges in environmental monitoring, public health, and urban systems.

His research spans Geospatial Data Science and GeoAI with specific applications in Pan-Arctic permafrost monitoring using satellite imagery, machine learning-driven poverty assessment among displaced populations, and epidemiological modeling of neighborhood violence impacts on lung cancer progression. Key methodologies include feature detection algorithms, human mobility analysis, and habitat suitability modeling for vector-borne diseases, demonstrating strong technical expertise in handling large-scale geospatial datasets.

Recent publications reveal a consistent trend in applying machine learning to interdisciplinary problems: from permafrost feature detection in extreme environments to modeling Zika virus epidemics through human mobility patterns and neighborhood violence effects on tumor biology. This work bridges computer science with environmental science and public health, emphasizing actionable solutions for sustainability and health equity.

Dr. Soliman actively collaborates through NCSA and the Center for Digital Agriculture, leveraging supercomputing infrastructure for large-scale geospatial analysis. His dataset on US building coverage distribution supports urban sustainability research, while media coverage of his neighborhood violence and lung cancer study demonstrates real-world impact through 8 news outlets and social media engagement.