Jiayang Yu
Papers
1
Total Citations
10
H-Index
1
About
Jiayang Yu is a rising researcher in the field of non-destructive evaluation and structural health monitoring, with a primary focus on advanced composite materials. Their work centers on the development of novel machine learning and signal processing techniques for the automatic characterization of defects in fiber-reinforced polymers. Yu’s most notable contribution is the introduction of a Transformer-based neural network for the automatic delamination characterization of quartz fiber-reinforced polymer curved structures using improved Terahertz Time-Domain Spectroscopy (THz-TDS). This 2024 publication, already garnering 10 citations, demonstrates a significant step forward in applying deep learning architectures to complex electromagnetic sensing data, moving beyond traditional manual analysis to enable faster, more accurate, and automated inspection of critical curved components. By bridging the gap between advanced AI and practical non-destructive testing, Jiayang Yu is establishing a reputation for pioneering work that promises to enhance the reliability and safety of composite structures in aerospace and other high-stakes industries.
Research Focus
Key Achievements
Top Papers
- 1