Artificial Intelligence Applications in Safety, Design, and Maintenance of Transportation Infrastructure

This talk will provide an introduction to the latest advancements in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning for transportation infrastructure applications. Current trends and opportunities will be presented, and specific examples will be discussed. Lastly, the talk will present the state-of-the-art in the adoption of Computer Vision techniques and Large Language Models for jointed plain concrete pavement applications.

Speaker:

Dr. Alessandro Fascetti received his bachelor and master degrees in Civil Engineering from the Sapienza University of Rome. He obtained his Ph.D. from the same institution in 2016. He then joined the Multiscale Computational Mechanics Laboratory (MCML) in the Civil and Environmental Engineering Department of Vanderbilt University as a Postdoctoral Research Fellow. After 2 years as a Lecturer for the School of Engineering at The University of Waikato, he joined the Department of Civil and Environmental Engineering at the University of Pittsburgh in 2021. Dr. Fascetti conducts research on digital twin modeling of horizontal and vertical infrastructure for large-scale resilience assessment and maintenance optimization. His work focuses on failure mechanics as well as durability aspects, combining multiscale experimental information with in-situ and remote sensing techniques for the real-time assessment of complex interconnected infrastructure systems. He has authored over 40 peer-refereed manuscripts, and secured research funding in excess of $4.5M. Dr. Fascetti was recently awarded the prestigious Roberta Luxbacher Faculty Fellowship from the Swanson School of Engineering at the University of Pittsburgh.

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