Yuying Guo
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yuying Guo is a leading researcher in the field of optical fiber sensing, with a particular focus on advanced spectral demodulation techniques and interferometric sensor design. Her most notable contribution is the development of a novel method combining Fast Fourier transform (FFT) with support vector regression (SVR) for rapid spectral demodulation of optical fiber torsion sensors based on Sagnac interferometers. This work, published in 2025, addresses a critical challenge in the field—achieving both high speed and wide measurement range—by enabling real-time, accurate torsion detection. The FFT-SVR algorithm significantly enhances sensor performance, reducing computational complexity while maintaining precision, which has immediate applications in structural health monitoring and robotics. Dr. Guo’s research has already garnered attention, with her most cited paper accumulating citations that underscore its impact on the sensing community. Her work bridges the gap between machine learning and photonics, offering a scalable solution for next-generation fiber optic sensors. As an emerging scholar, Dr. Guo’s innovative approach positions her at the forefront of intelligent optical sensing, promising further breakthroughs in fast, reliable measurement systems for industrial and scientific use.
Research Focus
Key Achievements
Top Papers
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