Ph.D Student
The University of Texas at Arlington
Arlington, TX, United States
Subham Kharel is a Ph.D. candidate in Urban Planning and Transportation at the University of Texas at Arlington. He has extensive expertise in Geographic Information Systems (GIS), remote sensing, statistical analysis, and Python programming, and their applications in urban planning. His dissertation focuses on applying the capability approach to transportation, food environment planning, poverty, and spatial mismatch. His work extends the implications of spatial mismatch hypothesis by going beyond traditional accessibility and equity metrics to consider the broader capabilities and freedoms individuals must have to access essential services and opportunities. This pioneering research focuses on developing innovative multimodal accessibility and equity measures, machine learning, deep learning, generative AI, and advanced spatial regression techniques, and applying multilevel structural equation modeling to unravel how certain communities suffer based on variety of factors including residential location, disposable income, educational attainment, transportation choices, bridge conditions, and availability of opportunities. Subham’s interests and experience lies in the intersection of transportation equity, poverty, suburbanization, transit infrastructure, land use, urban form, travel behavior, remote sensing, and GIS.
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Improving Off-System Bridge Monitoring: An AI-Driven Methodology for Enhanced Condition Prediction
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT