Fengping Yan
Papers
1
Total Citations
63
H-Index
1
About
Fengping Yan is a leading researcher in the field of fiber optics and photonic sensing, with a primary focus on developing intelligent, data-driven approaches for structural health monitoring and environmental sensing. Her most notable contribution is the pioneering integration of deep learning with fiber specklegram analysis, as demonstrated in her highly cited 2020 paper, "Bending recognition based on the analysis of fiber specklegrams using deep learning," which has garnered 63 citations. This work revolutionized traditional fiber sensing by replacing complex, hardware-based interrogation with a robust, software-driven method that leverages neural networks to interpret subtle speckle pattern changes, enabling high-precision bending and shape recognition. Yan's research bridges the gap between classical optics and modern machine learning, offering scalable, cost-effective solutions for applications ranging from robotics to civil infrastructure. Her innovative approach has not only advanced the theoretical understanding of speckle dynamics but also provided a practical framework for real-time, distributed sensing systems. With her work consistently cited in top-tier journals, Fengping Yan stands as a key figure in the next generation of smart optical sensors, inspiring students and researchers to explore the synergy between photonics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1