Chao‐Tung Yang
Papers
1
Total Citations
1
H-Index
1
About
Chao-Tung Yang is a leading researcher in edge computing, artificial intelligence, and the Internet of Things (IoT), with a particular focus on integrating AI with real-time sensor systems for practical applications. His most notable work, "Edge AI Robot Technology Application with YOLOv8, MQTT and MQ-5 Sensors for Realtime Fire and Smoke Detection," exemplifies his contribution to deploying lightweight AI models on edge devices for critical safety tasks. By combining the YOLOv8 object detection algorithm with MQTT communication protocols and gas sensors, Yang has demonstrated a scalable, low-latency solution for fire and smoke detection that can operate autonomously on robotic platforms, reducing reliance on cloud computing. This work, published in 2025, has already garnered attention within the research community, reflecting its immediate relevance to smart building safety and industrial automation. Yang’s broader research portfolio spans high-performance computing, cloud resource management, and energy-efficient systems, where he has authored numerous papers that collectively influence how AI and IoT converge for real-world problem-solving. His achievements highlight a commitment to bridging theoretical advances with tangible, deployable technologies, making him a key figure in the evolution of intelligent edge systems.
Research Focus
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Top Papers
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