Papers
3
Total Citations
21
H-Index
3
About
Yan Mao is a researcher at the forefront of smart sensing technologies, with a primary focus on flexible fiber optic sensors and their integration with machine learning. Her major contributions lie in developing novel dual-parameter and directional sensing systems using fiber Bragg gratings (FBGs), which offer significant advantages over conventional electrical sensors—including lightweight design, small size, and high sensitivity. Notably, her 2023 work on "Machine-Learning-Assisted Dual Fiber Bragg Grating-Based Flexible Direction Sensing" has already garnered 13 citations, reflecting its impact on fields such as bionic robotics and clinical surgery. She has further advanced this area with a 2024 study on spiral FBG-based dual-parameter sensing, demonstrating her continued innovation. Earlier in her career, Mao contributed to autonomous mobile robotics and vision-based automotive assistance systems, including work with the Robotino® platform for educational purposes at Tongji University. Her interdisciplinary approach—combining optical sensing, machine learning, and robotics—positions her as a rising figure in flexible sensor technology, with clear potential for transformative applications in healthcare and intelligent systems.
Research Focus
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Top Papers
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