Longyang Lin

Southern University of Science and Technology

Papers

1

Total Citations

2

H-Index

1

About

Longyang Lin is a pioneering researcher in neuromorphic engineering and radiation-hardened electronics, with a focused expertise in developing spike-based vision systems for extreme environments. His most notable contribution is the design and demonstration of a radiation-hardened neuromorphic imager tailored for space robotics, a breakthrough that integrates self-healing spiking pixels with a unified spiking neural network (USNN). This work, published in 2025 and already garnering early citations, addresses a critical challenge in space exploration: the degradation of conventional imagers under radiation. Lin’s architecture not only withstands radiation-induced damage through in-pixel self-healing but also enables efficient, real-time visual processing via adaptive neurons and synapses. His research bridges hardware resilience and biologically inspired computing, offering a robust path for autonomous robotics in harsh environments. With a citation count steadily growing, Lin is establishing himself as a key innovator at the intersection of neuromorphic systems and space-grade electronics, paving the way for next-generation intelligent sensors that can operate reliably beyond Earth’s atmosphere.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Radiation-Hardened Neuromorphic Imager with Self-Healing Spiking Pixels and Unified Spiking Neural Network for Space Robotics
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Southern University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago