Advancing Transportation Assets Through AI-Powered Geospatial Analysis

Abstract

This talk highlights the transformative role of AI in geospatial analysis for the transportation sector. By leveraging computer vision, cross-view geo-localization, and advanced machine learning models, our work enables robust detection of road assets, evaluation of roadway safety, and integration of multi-view data sources (street-level, aerial, and satellite). We present methodologies that go beyond traditional asset management to deliver comprehensive insights into road quality, safety risks, and long-term infrastructure resilience. The discussion will also touch on broader applications in land cover mapping and environmental monitoring, emphasizing the potential of AI-driven geospatial tools to enhance decision-making across domains.

Biography

Dr. Safwan Wshah is an Associate Professor of Computer Science at the University of Vermont and the founder of the Vermont Artificial Intelligence Lab (VaiL). He is also the founder and lead AI scientist at Maplyzer LLC, a startup originated from UVM that specializes in AI-powered road-asset recognition and safety assessment. His research focuses on machine learning, computer vision, and cross-view geo-localization, with applications in transportation, environmental monitoring, and healthcare. Dr. Wshah has published extensively in top journals and conferences, holds multiple patents, and has secured over $2.8M in research funding from agencies such as NSF, NIH, NOAA, and state DOTs. He is also a Fulbright Global Scholar, advancing AI research in Jordan and internationally.