Leixin Meng
Papers
2
Total Citations
24
H-Index
2
About
Leixin Meng is a rising researcher in the field of optical fiber sensing, with a focus on high-precision shape reconstruction technologies. Their key research areas include multicore fiber Bragg grating (FBG) sensors, anti-twist packaging methods, and machine learning-enhanced shape sensing. Meng’s most notable contribution is the development of a high-accuracy 3D shape sensor based on anti-twist packaged high-uniform multicore fiber FBGs, a work that has garnered 22 citations since its publication in 2023. This innovation addresses critical challenges in maintaining sensor stability and precision during deformation, enabling applications in medical robotics and structural health monitoring. Additionally, Meng has explored the use of radial basis function neural networks to improve shape sensing accuracy, tackling the persistent challenge of moving from high-precision 2D reconstruction to reliable 3D performance. Their work bridges advanced photonics with computational intelligence, offering practical solutions for real-time shape monitoring in constrained environments. As an early-career researcher, Meng’s contributions are already shaping the next generation of flexible, high-fidelity optical sensors.
Research Focus
Key Achievements
Top Papers
- 1
- 2