Chun-Hsian Huang
National Taitung University, National Changhua University of Education
Papers
7
Total Citations
80
H-Index
4
About
Chun-Hsian Huang is a researcher specializing in embedded systems, edge artificial intelligence, and reconfigurable hardware design, with a particular focus on agricultural cyber-physical systems and search-and-rescue robotics. His work sits at the intersection of FPGA-based computing, neural network acceleration, and autonomous robotic platforms, pushing the boundaries of what resource-constrained intelligent systems can achieve in real-world environments. Huang's most impactful contributions center on deploying binarized neural networks and hardware/software co-designs on FPGAs to enable real-time decision-making in agricultural robots — work that has garnered 29 and 18 citations respectively. His intelligent robotic vehicles integrate crop recognition, pest and disease severity estimation, and cryptographic functions, demonstrating a holistic approach to precision agriculture. Beyond the farm, Huang has extended his expertise to unmanned aerial and ground vehicles for search-and-rescue operations, incorporating Tiny-YOLO object detection and edge AI frameworks to locate survivors efficiently under tight computational constraints. With a growing body of work accumulating over 80 citations across seven key publications, Huang's research consistently bridges theoretical AI innovation with practical embedded system deployment, making him a notable figure for students and engineers pursuing intelligent robotics and edge computing solutions.
Research Focus
Key Achievements
Top Papers
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- 4FPGA-based UAV and UGV for search and rescue applications: A case study11 citations · 2024
- 5An Edge AI based Robot System for Search and Rescue Applications4 citations · 2021
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- 7Fpga-Based Uav and Ugv for Search and Rescue Applications: A Case Study2 citations · 2024