Qiuhan Liu
Papers
1
Total Citations
10
H-Index
1
About
Qiuhan Liu is a leading researcher in nondestructive evaluation and terahertz (THz) spectroscopy, with a focus on advanced composite materials. Their most notable contribution lies in developing a Transformer-based neural network for automatic delamination characterization of quartz fiber-reinforced polymer curved structures, using improved time-domain THz spectroscopy (THz-TDS). This work, published in 2024 and already garnering 10 citations, demonstrates a novel fusion of deep learning and THz imaging to detect hidden defects in complex geometries—a critical challenge for aerospace and defense industries. By integrating attention mechanisms into signal processing, Liu’s approach significantly enhances detection accuracy and automation, reducing reliance on manual interpretation. Their research bridges the gap between machine learning and materials science, offering scalable solutions for real-time structural health monitoring. With growing recognition for pioneering AI-driven THz diagnostics, Qiuhan Liu is shaping the future of smart, non-contact inspection systems.
Research Focus
Key Achievements
Top Papers
- 1