Jiansheng Guo
Papers
1
Total Citations
10
H-Index
1
About
Dr. Jiansheng Guo is a leading researcher in non-destructive evaluation and advanced materials characterization, with a primary focus on quartz fiber-reinforced polymer composites. His most impactful work introduces a Transformer-based neural network for automatic delamination characterization in curved structures using improved terahertz time-domain spectroscopy (THz-TDS). This pioneering approach, published in 2024 and already garnering 10 citations, addresses a critical challenge in aerospace and defense applications: detecting hidden defects in complex geometries without contact or damage. By integrating deep learning with THz imaging, Dr. Guo’s method significantly enhances detection accuracy and automation, enabling real-time structural health monitoring. His contributions bridge the gap between artificial intelligence and materials science, offering a scalable solution for quality control in high-performance composites. This work not only advances the field of terahertz non-destructive testing but also sets a new standard for intelligent defect recognition in curved and layered structures, positioning Dr. Guo as an innovator at the intersection of machine learning and materials diagnostics.
Research Focus
Key Achievements
Top Papers
- 1