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About

Yifei Su is pioneering the integration of bioinspired design, flexible electronics, and artificial intelligence to create next-generation wearable sensors for human-machine interaction and healthcare. Her research focuses on developing stretchable, skin-like optical fiber and polymer-based tactile sensors that overcome traditional limitations of poor waterproofness and electromagnetic interference. Su’s most cited work, a bioinspired stretchable fiber-based sensor (66 citations), mimics the profile of the *Lindernia nummularifolia* plant to enable intelligent human-machine interfaces. She further advanced the field with an AI-motivated skin-like optical fiber tactile sensor (48 citations) that replicates skin’s somatosensory signal processing, and an AI-assisted stretchable polymer-based sensor (28 citations) for disease monitoring and telenursing, leveraging the Beer-Lambert law. Her notable achievement includes developing an in situ calibration method for a six-axis FBG force/moment sensor used in surgical robots. With over 140 combined citations across her top papers, Su’s work is shaping the future of soft robotics, intelligent prosthetics, and remote health monitoring, making her a rising leader in smart materials and AI-driven wearable technology.