Papers
1
Total Citations
4
H-Index
1
About
Zhuo Ji is a leading researcher in intelligent manufacturing and digital twin technologies, with a focus on real-time process monitoring and optimization in industrial coating applications. Their most-cited work introduces an agent-based modeling system for film thickness characterization within a digital twin framework, addressing critical challenges in automated spraying workshops—particularly the poor visibility caused by dust and fog that undermines traditional video monitoring. Ji’s major contribution lies in developing a predictive, real-time approach that overcomes the limitations of conventional methods, enabling accurate measurement and forecasting of coating thickness during ship segment spraying. This innovation enhances quality control and efficiency in harsh industrial environments, with their 2024 paper already garnering 4 citations—a strong early impact indicator. Ji’s research bridges the gap between physical processes and digital simulations, offering practical solutions for smart manufacturing. Their work is notable for its direct application to real-world industrial challenges, positioning them as a rising expert in digital twin and agent-based systems for process characterization.
Research Focus
Key Achievements
Top Papers
- 1