NTU-CEE Distinguished Seminar Series: AI Support for Structural Engineering Reconnaissance Missions
Host
Assistant Professor Fu Yuguang
About the Seminar
Reconnaissance teams collect perishable data after each disaster to identify les about building performance. These data are collected to lead to vital research focused on identifying gaps in construction and design practices, and advancing improvements in building codes. The investment in gathering reconnaissance data after natural disasters is growing exponentially. In 2016, the U.S. National Science Foundation established a shared-use large facility known as the Natural Hazards Engineering Research Infrastructure that is dedicated to research in hazards and resilience.
This presentation will focus on the use of machine learning and computer vision for automating and supporting these engineers in the field. Our aim is to develop meaningful methods to perform specific domain-oriented tasks by minimizing tedious and time-consuming tasks, and introducing automated image classification and object detection techniques to streamline typical procedures in the field. Teaching a computer to extract unbiased and task-driven information from such images requires significant amounts of data/images. Using our curated database with >100,000 images from past field reconnaissance missions around the world, we have developed the ability to automate key steps in the damage detection and data classification process.
This presentation will discuss the methods developed and share important lessons from these investigations on the power of artificial intelligence to aid the work of the engineer in performing these tasks.
About the Speaker
Professor Shirley J. Dyke holds a joint appointment in Mechanical Engineering and Civil Engineering at Purdue University. She is the Director of the NASA funded Resilient ExtraTerrestrial Habitat Institute (RETHi) and the Director of Purdue's Intelligent Infrastructure Systems Lab at Bowen Lab.
From 2020- 2023 she was the Editor-in-Chief of the journal Engineering Structures. Her research focuses on the development and implementation of “intelligent” structures, and her innovations encompass structural control technologies, structural health monitoring, real-time hybrid simulation, and machine learning and computer vision for structural damage assessment.
She was awarded the Presidential Early Career Award for Scientists and Engineers from NSF (1998), the George Housner Medal by ASCE (2022), and the SHM Person of the Year Award (2021). She holds a B.S. in Aeronautical and Astronautical Engineering from the University of Illinois, Champaign-Urbana in 1991 and a Ph.D. in Civil Engineering from the University of Notre Dame in 1996.
Registration (closes on 06 Sep 2023, 23:59hr)
