Papers
5
Total Citations
58
H-Index
5
About
Khanh T.P. Nguyen is a leading researcher at the intersection of artificial intelligence, robotics, and smart manufacturing, with a primary focus on Prognostics and Health Management (PHM). Their work is centered on developing intelligent monitoring and diagnostic systems to enhance the reliability and precision of industrial machinery. A key contribution is the development of a physics-informed machine learning model for inverse dynamics in robotic manipulators (2024, 19 citations), which bridges the gap between theoretical physics and data-driven approaches for enhanced control. Nguyen has also pioneered methods for the online diagnostics of unknown arm deviations in multi-axis robots (2022, 16 citations), a critical challenge for high-precision smart manufacturing. Their foundational work on constructing health indicators for system health assessment (2019, 12 citations) provides a framework for predictive maintenance within Industry 4.0. Further expanding the field, they have contributed open heterogeneous datasets for condition monitoring of multi-fault rotating machines (2023, 6 citations), facilitating research across railways, renewable energy, and robotics. Through these contributions, Nguyen is advancing the next generation of autonomous, self-diagnosing manufacturing systems.
Research Focus
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