Shuangqing Fan

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About

Shuangqing Fan is a leading researcher in bio-inspired electronics and human–machine interfaces, with a focus on artificial neuromuscular systems and triboelectric nanogenerators. Their work bridges the gap between biological neural networks and electronic devices, enabling more intuitive and efficient interactions between humans and machines. Fan’s most-cited paper, “An Artificial Neuromuscular System for Bimodal Human–Machine Interaction” (2023, 62 citations), introduces a groundbreaking system that mimics muscle functions to improve sensorimotor coordination in robots and interactive systems. Another notable contribution, “Dual Interactive Mode Human–Machine Interfaces Based on Triboelectric Nanogenerator and IGZO/In₂O₃ Heterojunction Synaptic Transistor” (2024, 12 citations), overcomes the limitations of single-contact mode interfaces by integrating synaptic transistors for low-energy, efficient data processing. These innovations address critical challenges in the big data era, such as the von Neumann bottleneck, while advancing the field of neuromorphic computing. Fan’s work has significant implications for robotics, prosthetics, and wearable technology, demonstrating a profound impact on both fundamental research and practical applications. Their achievements highlight a commitment to creating seamless, bio-inspired systems that enhance human–machine collaboration.