About

Danish Khan is a dedicated researcher with a keen interest in the intersection of geospatial technology and sustainable development. Their academic pursuits focus on urban growth modeling, land use and land cover analysis, and the application of machine learning and explainable artificial intelligence (XAI) in environmental studies. With expertise in satellite imagery analysis, GIS-based modeling, and spatial data analytics, they have contributed significantly to understanding urbanization dynamics and their environmental implications. Their current research explores predictive urban growth patterns using advanced machine learning techniques, emphasizing sustainable urban planning and governance.

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Publications (13)