Yueh-Han Shu
Papers
1
Total Citations
13
H-Index
1
About
Dr. Yueh-Han Shu is a leading researcher in visible light positioning (VLP) systems, with a focus on integrating advanced machine learning techniques to achieve high-accuracy, real-time indoor localization. His most cited work introduces a novel VLP framework that combines Long Short-Term Memory Neural Networks (LSTM-NN) with Principal Component Analysis (PCA), demonstrating significant improvements in positioning reliability and speed. This breakthrough directly addresses critical demands in emerging technologies such as augmented reality/virtual reality (AR/VR), Internet of Things (IoT), and autonomous mobile robot (AMR) services, where precise indoor tracking is essential. With 13 citations on this key paper, Dr. Shu’s contributions are gaining recognition for their practical impact on next-generation smart environments. His research not only advances the theoretical foundations of optical wireless communication but also provides scalable solutions for real-world deployment. By tackling the challenges of dynamic indoor settings, Dr. Shu is helping to pave the way for seamless, high-performance location-based services that will underpin future smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1