Papers
2
Total Citations
27
H-Index
2
About
Shi‐Jun Liang is a leading researcher in neuromorphic computing and memristive devices, with a focus on developing brain-inspired hardware for autonomous systems. His most notable contribution is the pioneering work on a Braitenberg vehicle powered by memristive neuromorphic circuits, first published in 2019 and subsequently highlighted in 2020. This research demonstrates a smart autonomous vehicle that uses memristor-based processing units to exhibit self-adaptive behaviors, such as learning to avoid obstacles without explicit programming—a significant step toward energy-efficient, real-time adaptive robotics. The 2019 paper has garnered 21 citations, reflecting its influence in merging neuroscience concepts with practical hardware. Liang’s work bridges the gap between theoretical neuromorphic models and tangible applications, showcasing how memristive circuits can emulate neural responses for autonomous navigation. His achievements underscore the potential of memristive technology to revolutionize edge computing and robotics, making him a key figure in advancing intelligent, low-power systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1A Braitenberg Vehicle Based on Memristive Neuromorphic Circuits21 citations · 2019
- 2A Braitenberg Vehicle Based on Memristive Neuromorphic Circuits6 citations · 2020