Van Doi Truong
Papers
1
Total Citations
23
H-Index
1
About
Van Doi Truong is a leading researcher in advanced manufacturing and intelligent welding systems, with a focus on real-time process monitoring and quality control. His most cited work, “Prediction of internal welding penetration based on IR thermal image supported by machine vision and ANN-model during automatic robot welding process” (2024, 23 citations), addresses a critical challenge in welding technology: the need for objective, timely, and cost-effective quality assessment. By integrating infrared thermal imaging, machine vision, and artificial neural networks, Truong developed a novel framework for predicting weld penetration in real time, moving beyond traditional, subjective inspection methods. This contribution has significant implications for automated robotic welding, enhancing both precision and reliability in industrial applications. His research bridges the gap between sensor-based monitoring and intelligent decision-making, positioning him as an innovator in the field of smart manufacturing. With a growing citation record and a focus on practical, data-driven solutions, Truong’s work is shaping the future of autonomous welding systems and quality assurance.
Research Focus
Key Achievements
Top Papers
- 1