Shan-Jen Cheng
Papers
1
Total Citations
13
H-Index
1
About
Shan-Jen Cheng is a leading researcher in electromechanical integration, smart manufacturing, and the Internet of Things (IoT), with a focus on creating low-cost, high-efficiency solutions for modern industrial challenges. His most cited work, a 2022 study, tackles the pressing need for unmanned chemical factories during the COVID-19 pandemic by integrating convolutional neural networks (CNNs) and fractional-order PID (FOPID) controllers into a secure, three-layer blockchain network architecture. This innovation not only enhances factory automation and safety but also demonstrates a practical path toward resilient smart factories. With over a dozen citations already, Cheng’s research is gaining traction for its timely relevance and cost-effective approach. His contributions are particularly notable for bridging advanced control theory with real-world IoT deployment, offering a blueprint for post-pandemic industrial resilience. Cheng’s work stands out for its emphasis on accessibility and security, making him a key figure in the evolution of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1