Yuan-Zeng Lin
Papers
1
Total Citations
13
H-Index
1
About
Dr. Yuan-Zeng Lin is a leading researcher in visible light positioning (VLP) systems, with a focus on achieving high-accuracy, real-time indoor localization for emerging technologies. His most-cited work introduces a pioneering approach that combines Long Short Term Memory neural networks with Principal Component Analysis, significantly improving positioning reliability for applications like augmented reality, autonomous mobile robots, and Internet-of-Things services. This 2024 paper has already garnered 13 citations, underscoring its immediate impact on the field. Dr. Lin’s contributions address critical challenges in indoor tracking, where traditional GPS fails, by leveraging visible light from existing LED infrastructure. His work stands out for bridging machine learning with optical wireless communication, offering practical solutions for smart environments. With a growing citation record and a focus on real-world deployment, Dr. Lin is establishing himself as an innovator in next-generation positioning technologies, making his research essential reading for engineers and scientists working on AR/VR, robotics, and pervasive computing.
Research Focus
Key Achievements
Top Papers
- 1