Special Session-13

Special Session Organizers:

Prof. Zhixin Yang, University of Macau, China

Dr. Bin Zhang, South China University of Technology, China

Introduction and Topics:

This special session focuses on multi-modal sensing detection algorithms and nondestructive testing instruments integrating photoacoustics, acoustics, vibration and artificial intelligence. It covers the development of highly sensitive detection systems, multi-source signal cooperative processing, deep learning-based feature extraction, damage identification and quantitative analysis. The session aims to advance the research and development of high-precision and miniaturized detection systems, and showcase application progress in structural health monitoring, high-resolution photoacoustic imaging, industrial non-destructive testing and other fields.

Topics include but not limited to:

1. Advanced sensing instruments and system design for photoacoustic, acoustic and vibration detection
2. Multi-source signal fusion and collaborative processing for multi-modal sensing
3. Deep learning and artificial intelligence algorithms for feature extraction and pattern recognition
4. AI-driven damage identification, localization and quantitative analysis in non-destructive evaluation
5. Applications of intelligent multi-modal sensing in structural health monitoring and high-precision photoacoustic imaging