Zhufeng Sheng
Papers
1
Total Citations
7
H-Index
1
About
Zhufeng Sheng is a leading researcher in the field of advanced optical fiber sensing, with a particular focus on distributed measurement systems and interferometric sensor design. Their most notable contribution is the development of an artificial-neural-network-assisted distributed directional optical fiber torsion sensor, which integrates a single stress-applying fiber (SSAF) within a Sagnac interferometer. This work, published in 2024 and already garnering 7 citations, introduces a novel theoretical model to describe piecewise torsion in high-birefringence fibers, enabling precise, real-time detection of both torsion magnitude and direction. By leveraging machine learning to enhance sensor accuracy and spatial resolution, Sheng has bridged the gap between classical fiber optics and intelligent data processing, offering a transformative solution for structural health monitoring and robotics. Their research demonstrates a deep understanding of birefringence dynamics and interferometric principles, positioning them as an innovator in smart sensing technologies. With growing recognition for their work, Sheng continues to push the boundaries of distributed optical fiber sensors, making their contributions highly relevant for students and researchers exploring the intersection of photonics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1