Yang Jingya
Papers
1
Total Citations
31
H-Index
1
About
Dr. Yang Jingya is a leading figure in the field of optical fiber sensing, with a particular focus on integrating deep learning with fiber optic technologies. Her most cited work, "A Sensitized Plastic Fiber Sensor for Multi-Point Bending Measurement Based on Deep Learning" (2021, 31 citations), addresses a critical challenge in the field: the difficulty of distinguishing multiple, closely-spaced bending points in a single fiber. By harnessing the complex mode interference patterns—or fiber specklegrams—captured by a CCD, Dr. Yang pioneered a deep learning approach to decode these intricate signals. This breakthrough enables precise, multi-point bending measurement in short distances, a feat previously considered highly challenging. Her work bridges the gap between traditional optical physics and modern machine learning, opening new avenues for smart structural health monitoring and wearable sensors. Dr. Yang’s contributions are not only advancing the theoretical understanding of mode interference but also providing practical, scalable solutions for real-world sensing applications, making her a key innovator in the next generation of intelligent fiber optic systems.
Research Focus
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