Shengshun Duan
Papers
17
Total Citations
910
H-Index
15
About
Shengshun Duan is pioneering the next generation of electronic skin (e-skin) and flexible sensing technologies that blur the line between biology and machine. His research centers on developing biomimetic, multimodal sensors—spanning tactile, acoustic, and piezoelectric modalities—and integrating them with machine learning for advanced robotics, prosthetics, and human-machine interfaces. Duan’s most cited work, a 2023 study on water-modulated hyper-attribute-gel e-skin (156 citations), demonstrates how moisture-responsive materials can replicate the physical-chemical and sensory complexity of human skin, enabling both robotic and wearable applications. He has also made seminal contributions to flexible acoustic sensing (112 citations) and triboelectric nanogenerators for self-powered tactile sensors. Notably, his 2021 MXene fiber-based glove platform, which integrates machine learning for underwater interactivity, showcases his drive to create robust, waterproof systems for harsh environments. With over 750 total citations across his top ten papers, Duan’s innovations in multimodal data fusion and AI-integrated sensing are setting new standards for intelligent, skin-like interfaces that can feel, hear, and adapt—paving the way for truly interactive robots and seamless wearable technologies.
Research Focus
Key Achievements
Top Papers
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- 4A comprehensive review on triboelectric sensors and AI-integrated systems78 citations · 2024
- 5Multimodal Sensors and ML‐Based Data Fusion for Advanced Robots77 citations · 2022
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