Shuai Gu
Papers
2
Total Citations
33
H-Index
2
About
Shuai Gu is a rising innovator in the field of fiber-optic sensing, with a focused expertise in photonic crystal fibers (PCFs), Sagnac interferometry, and machine-learning-assisted sensor design. His work addresses critical challenges in precision measurement, particularly for bending and torsion detection. In his highly cited 2023 paper, Gu pioneered a machine-learning-assisted omnidirectional bending sensor using cascaded asymmetric dual-core PCFs, achieving remarkable sensitivity by exploiting lateral rotation angles between spliced fibers—a design that garnered 17 citations for its novelty. That same year, he developed a high-sensitivity vector torsion sensor based on a single stress-applying fiber Sagnac interferometer, earning 16 citations for its ability to discriminate both torsion magnitude and direction with exceptional resolution. These contributions demonstrate Gu’s talent for merging advanced photonic structures with computational methods to create smarter, more versatile sensors. His work holds significant promise for structural health monitoring, robotics, and aerospace applications, establishing him as a key voice in next-generation optical sensing technology.
Research Focus
Key Achievements
Top Papers
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