Ali Fares is a researcher in infrastructure management, with a focus on applying artificial intelligence and advanced sensing technologies to transportation systems. His work spans distress analysis—covering cracking, rutting, roughness, and surface defects—using data from ground-penetrating radar (GPR), laser scanners, drones, and Google Street View imagery. He has also contributed to the development of performance and condition assessment indices. By integrating field measurements, GIS-based analysis, and AI-driven models, his research enhances the evaluation of pavement performance and supports data-informed asset management. He also explores multi-criteria indices that incorporate safety, user costs, and sustainability to guide long-term infrastructure decision-making. Ali has published in international journals and conferences, advancing sensing-based evaluation, AI-enabled condition assessment, and smart transportation systems. His broader interests include infrastructure sustainability and the use of emerging technologies to support resilient infrastructure networks.