Innovations Series

A Semi-Supervised Learning Framework for Bridge Deck Defect Detection Using Integrated Laboratory and Field GPR Data

Step into the future of bridge deck inspection where artificial intelligence meets ground-penetrating radar technology. This presentation unveils an innovative semi-supervised learning framework that merges laboratory-controlled defect detection with real-world field data, creating a robust and practical solution for automated bridge deck assessment. Engineers and infrastructure managers will gain valuable insights into how this cutting-edge approach is transforming traditional inspection methods while maintaining reliability and efficiency.

1 hour CE credit

Registration

This is a virtual event on Zoom. All registrants MUST have a free Zoom account to access the webinar.

Members - FREE
Nonmembers - $25

About the Speaker

Babak Enami Alamdari, PhD Candidate
Beyond Visual Inspection: AI-Enhanced GPR for Next-Generation Bridge Deck Assessment
University of Illinois Chicago
Babak Enami Alamdari is a Ph.D. candidate in Civil Engineering at the University of Illinois Chicago, specializing in structural engineering and non-destructive evaluation. His research focuses on developing AI-powered GPR analysis methods for bridge deck assessment, working with an interdisciplinary team on drone-mounted GPR systems. With extensive experience in experimental testing and computational modeling of concrete structures, his work combines structural engineering expertise with advanced machine learning techniques to enhance infrastructure evaluation methods.