Kunhua Wen
Papers
1
Total Citations
14
H-Index
1
About
Kunhua Wen is a leading researcher in fiber-optic sensing and photonic device design, whose work bridges fundamental optics with practical structural health monitoring. His primary research areas include distributed fiber sensing, few-mode fiber technologies, and curvature reconstruction for shape monitoring. Wen’s most notable contribution is the development of a distributed large-curvature sensor that integrates ring-core few-mode fiber (RC-FMF) with differential pulse-pair Brillouin optical time-domain analysis (DPP-BOTDA). This innovative system, detailed in his 2022 paper, enables precise measurement of large curvatures and, crucially, allows for the reconstruction of complex shapes—such as asymmetric hump profiles—using the Frenet-Serret algorithm. This work has garnered 14 citations and represents a significant step forward in real-time structural monitoring for applications in robotics, aerospace, and civil engineering. Wen’s research is distinguished by its practical engineering focus, combining advanced fiber design with robust signal processing to solve real-world sensing challenges. His contributions continue to influence the development of high-performance, distributed optical sensors for shape and deformation tracking.
Research Focus
Key Achievements
Top Papers
- 1