Thong Tran Huu

Papers

Total Citations

H-Index

About

Thong Tran Huu is a researcher at the forefront of applying artificial intelligence and machine learning to industrial automation and autonomous systems. His work primarily addresses the intersection of Industry 4.0 technologies and operational efficiency, with a particular focus on dynamic path planning for autonomous transportation. His most cited paper, "Machine Learning Model for a Dynamic Path Planning Problem" (2020), which has garnered 5 citations, introduces innovative approaches to enabling autonomous systems to navigate complex, changing environments in real-time. This contribution is critical for advancing smart manufacturing and logistics, where efficient, self-optimizing vehicle routing can dramatically reduce costs and improve throughput. Thong’s research demonstrates a practical application of machine learning to solve real-world industrial challenges, positioning him as a contributor to the next generation of intelligent, self-driving material handling systems. His work is especially relevant for students and researchers interested in the practical deployment of AI in cyber-physical systems and the ongoing digital transformation of industry.