Shuqin Lou
Papers
3
Total Citations
26
H-Index
2
About
Dr. Shuqin Lou is a leading innovator in the field of optical fiber sensing, with a particular focus on developing advanced sensors for measuring physical parameters like bending and torsion. Her research uniquely bridges the gap between traditional photonics and modern artificial intelligence, creating "smart" sensors that are both highly sensitive and intelligent. Dr. Lou’s major contributions include the design and experimental demonstration of a cascaded asymmetric dual-core photonic crystal fiber (ADCPCF) sensor, which, when combined with machine learning, achieves omnidirectional bending detection—a significant step forward for structural health monitoring. She has also pioneered the use of artificial neural networks (ANNs) and support vector regression (SVR) algorithms to enable fast, distributed, and high-precision spectral demodulation in fiber torsion sensors, overcoming traditional limitations in measurement range and speed. Her most-cited work, a 2023 study on machine-learning-assisted bending sensors, has already garnered 17 citations, underscoring its immediate impact. By integrating computational intelligence with fiber optic architectures, Dr. Lou is not only advancing sensor performance but also paving the way for next-generation, self-calibrating measurement systems in robotics and aerospace.
Research Focus
Key Achievements
Top Papers
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