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About

Sanzhar Korganbayev is a leading researcher in the intersection of fiber optic sensing, 3D printing, and smart materials, with a focus on enabling real-time, high-precision shape sensing and structural health monitoring. His major contributions include pioneering the use of transformation matrices over traditional Frenet-Serret equations for accurate, real-time 3D shape reconstruction with multicore optical fibers—a breakthrough with direct applications in soft robotics, biomedical devices, and civil infrastructure. His work has garnered significant attention, with his 2020 paper on shape sensing algorithms accumulating 54 citations, underscoring its foundational impact. Korganbayev has also advanced the practical deployment of fiber Bragg grating (FBG) sensors by embedding them directly into 3D-printed patches and samples, addressing critical challenges in sensor positioning and adhesion. Notable achievements include the metrological evaluation of different filament materials and fiber coatings to optimize sensor performance, as well as the development of polyimide-coated multicore fibers for enhanced durability and accuracy. Through these innovations, Korganbayev is driving the transition of fiber optic sensing from laboratory prototypes to robust, real-world applications in smart materials and autonomous systems.