StEER Director Khalid Mosalam published a new book about Artificial Intelligence in Vision-Based Structural Health Monitoring

Mosalam, K. M., & Gao, Y. (2024). Artificial Intelligence in Vision-Based Structural Health Monitoring. In Synthesis Lectures on Mechanical Engineering. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-52407-3

This book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research direction. As researchers begin to apply these concepts to the structural engineering domain, especially in SHM, several critical scientific questions need to be addressed: (1) What can AI solve for the SHM problems? (2) What are the relevant AI technologies? (3) What is the effectiveness of the AI approaches in vision-based SHM? (4) How to improve the adaptability of the AI approaches for practical projects? (5) How to build a resilient AI-aided disaster prevention system making use of the vision-based SHM?