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About
Defeng Zou is a rising researcher in the field of optical fiber sensing, with a primary focus on distributed curvature measurement and shape reconstruction technologies. His most-cited work, "Fast Algorithm in Distributed Curvature Sensing Based on OFDR and Helical Weak Gratings Fiber Bundle" (2024), addresses a critical challenge in shape sensing for applications ranging from aerospace landing gear to precision medical interventions and soft robotics. Zou’s key contribution lies in developing a fast, high-precision algorithm that leverages optical frequency domain reflectometry (OFDR) and a helical weak gratings fiber bundle to enable real-time curvature measurement—a pivotal parameter for accurate shape tracking. Although his work is early-stage, with the paper currently garnering 1 citation, it represents a novel integration of hardware and software that could significantly advance distributed sensing efficiency. Zou’s research is particularly notable for its potential to enhance the responsiveness and accuracy of shape-sensing systems in dynamic environments. As the demand for real-time structural monitoring grows, his algorithmic approach offers a promising pathway toward more practical and scalable fiber-optic sensing solutions.
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