Dechathanat Thongkot
Papers
1
Total Citations
2
H-Index
1
About
Dechathanat Thongkot is a researcher whose work bridges industrial automation, engineering economics, and applied artificial intelligence. Their key research areas include robotics simulation, project selection optimization, and the integration of data mining and machine learning into manufacturing and business decision-making. Thongkot’s major contribution is a simulation model that enhances the efficiency of painting robots, paired with an engineering economic framework for project selection—a practical tool that reduces costs and improves investment outcomes in industrial settings. This work, though early in its citation impact (2 citations), demonstrates a strong foundation in operational research and economic analysis. Beyond this, Thongkot’s research portfolio spans pattern classification, neural networks, and social network analysis, reflecting a versatile approach to solving real-world problems in education, business, and technology. Their ability to combine technical simulation with financial evaluation marks them as a promising voice in the field of engineering management and applied AI, with potential for broader influence as their work gains traction.
Research Focus
Key Achievements
Top Papers
- 1