Asad Ullah

Xian Eurasia University, China

Title: AI-Driven Material Characterization and Predictive Analysis for Pavement Crack Detection and Road Longevity

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Biography

Dr. Asad Ullah is an Associate Professor in the School of Information Engineering at Xi’an Eurasia University, China. He holds a Ph.D. in Information Engineering from Chang’an University, with research expertise in Artificial Intelligence, Machine Learning, and Image Processing. His work focuses on developing lightweight, AI-driven solutions for road infrastructure monitoring, TinyML, and smart transportation systems. Dr. Ullah has published extensively on topics such as road crack detection, edge computing, and energy policy, and he actively mentors students in applied AI and sustainable technologies.

Abstract