Papers
1
Total Citations
42
H-Index
1
About
Shijie Tan is a pioneering researcher at the intersection of flexible electronics and neural-inspired sensing systems. His most influential work, "Optical Microfiber Neuron for Finger Motion Perception" (2021), has garnered 42 citations, establishing a novel paradigm for biomimetic tactile sensing. Tan's primary research areas include optical micro/nanofiber sensors, soft robotics, and human-machine interfaces. His major contribution lies in developing an optical microfiber neuron that mimics biological mechanoreceptors—a breakthrough that enables highly sensitive, real-time finger motion detection with exceptional durability and flexibility. This work bridges the gap between optical sensing and neural signal processing, offering transformative potential for prosthetics, wearable health monitors, and intelligent robotics. By integrating micro-optics with soft materials, Tan has demonstrated how light-based sensing can achieve the sensitivity and adaptability of biological neurons without complex electronics. His research not only advances fundamental understanding of mechano-optical transduction but also provides a scalable platform for next-generation tactile systems. As a rising figure in optoelectronics and bioinspired engineering, Tan's work continues to inspire innovations in smart materials and sensory augmentation.
Research Focus
Key Achievements
Top Papers
- 1Optical Microfiber Neuron for Finger Motion Perception42 citations · 2021