Feifei Yin
Papers
4
Total Citations
208
H-Index
4
About
Feifei Yin is a rising leader in neuromorphic computing and intelligent electronic skins, whose work bridges the gap between biological perception and artificial systems. Her research centers on developing bio-inspired sensory and memory devices, including optoelectronic memristors and tactile electronic skins. A key contribution is her work on a micropyramid array bimodal electronic skin, which uses capacitive sensing and machine learning to achieve intelligent material and surface shape perception—a paper that has garnered 116 citations. She has also pioneered the use of TiO₂ nanowires and ZnO quantum dots to create optoelectronic memristors that emulate classical conditioning, a foundational form of associative learning, with 51 citations. More recently, she demonstrated operant conditioning in transparent Ta₂O₃-based memristors and developed a labor-division electronic palm system for high-precision, crosstalk-free pressure and temperature sensing. These innovations hold promise for advanced robotics and neuromorphic hardware. With her work appearing in high-impact venues and accumulating growing citation counts, Yin is shaping the future of intelligent, bio-inspired electronics.
Research Focus
Key Achievements
Top Papers
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