The Intersection of Technology, Machine Learning, and Decision-Making Tools for Effective Pavement Infrastructure Management

Jônatas Augusto Manzolli
Feb 25
1 min read

Ali Fares is completing his PhD at the Hong Kong Polytechnic University, with extensive experience in infrastructure management, sensing technologies, and machine learning applications. With 23 journal publications, including 10 as the first author, his work has been featured in top journals like Automation in Construction and Sustainable Development. He recently joined the Innovation in Mobility and Transportation Safety Lab as a postgraduate research trainee.

In this seminar, Ali will discuss his research on leveraging advanced sensing technologies and machine learning models for assessing asphalt pavement conditions. The presentation will highlight innovative tools such as drones, thermal imaging, ground-penetrating radar (GPR), and integrated decision-making models for optimizing pavement maintenance strategies.