Yi-Mei Huang
Papers
1
Total Citations
13
H-Index
1
About
Yi-Mei Huang is a leading researcher in electromechanical integration, industrial Internet of Things (IoT), and intelligent control systems. Her most impactful work addresses the intersection of advanced automation and real-world challenges, particularly during the COVID-19 pandemic. In her highly cited 2022 study, she proposed a low-cost, high-efficiency framework for unmanned chemical factories, integrating CNN-based monitoring with fractional-order PID (FOPID) controllers. This design established a secure, three-layer blockchain network architecture to ensure safety and privacy in smart manufacturing environments. With over 13 citations, this work exemplifies her ability to deliver practical, scalable solutions for Industry 4.0. Huang’s contributions are notable for their focus on reducing operational costs while enhancing system reliability and autonomy—critical factors in post-pandemic industrial resilience. Her research continues to influence the development of intelligent, IoT-driven factories, bridging the gap between theoretical control systems and deployable smart technologies.
Research Focus
Key Achievements
Top Papers
- 1