Zhengke Yang
Papers
1
Total Citations
2
H-Index
1
About
Zhengke Yang is a pioneering researcher at the frontier of neuromorphic engineering and space-grade electronics. His work centers on developing radiation-hardened, bio-inspired vision systems that can withstand the extreme conditions of space exploration. Yang’s major contribution is the invention of a fully spike-based neuromorphic imager architecture, which integrates self-healing spiking pixels capable of autonomously repairing radiation-induced damage—a critical breakthrough for long-duration missions. His 2025 paper on this topic introduces a unified spiking neural network (USNN) with adaptive neurons and synapses, enabling robust visual processing directly on-chip. Though early in its citation trajectory (2 citations), this work represents a paradigm shift in resilient sensing for space robotics. Yang’s research uniquely bridges hardware reliability and neural computation, offering a path toward autonomous, fault-tolerant robots for deep-space environments. His achievements include demonstrating the first in-pixel self-healing mechanism for neuromorphic imagers, a feat that could redefine how we design electronics for harsh radiation belts. For students and researchers, Yang’s work exemplifies how neuromorphic principles can solve real-world engineering challenges beyond Earth.
Research Focus
Key Achievements
Top Papers
- 1