Papers
8
Total Citations
416
H-Index
7
About
Tailiang Guo is a leading researcher in bioinspired neuromorphic systems and self-powered sensing technologies, with a focus on integrating artificial intelligence with human-like sensory capabilities. His work bridges materials science, device engineering, and neural computing to create intelligent systems that mimic biological perception and cognition. Guo’s most impactful contributions include the development of an artificial multisensory integration nervous system that combines haptic and iconic perception, cited 136 times, and a self-powered sensory memory device driven by triboelectric receptors for real-time neuromorphic computing, with 99 citations. He has also pioneered highly stretchable triboelectric nanogenerators for dual-mode sensing, low-voltage MXene-based artificial neurons for spiking neural networks, and bioinspired motion sensory systems for rotation recognition and self-protection. Notably, his research on intrinsically healing neuromorphic devices and artificial morality transistors explores next-generation applications in humanoid robotics, neural prosthetics, and ethical AI. With over 400 cumulative citations across his most-cited works, Guo is advancing the frontier of intelligent, adaptive, and energy-efficient electronic systems that blur the line between biology and technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Neuromorphic display system for intelligent display38 citations · 2022
- 7An intrinsically healing artificial neuromorphic device13 citations · 2020
- 8