Howard Nguyen-Huu
Papers
2
Total Citations
61
H-Index
2
About
Dr. Howard Nguyen-Huu is a leading researcher in advanced manufacturing, specializing in laser directed energy deposition (DED) additive manufacturing and intelligent process monitoring. His work bridges the critical gap between large-scale robotic additive manufacturing and real-time quality control, addressing fundamental challenges in geometric accuracy and defect detection. Dr. Nguyen-Huu's most impactful contribution is the development of a deep-learning-based in-situ surface anomaly detection methodology for laser DED via powder feeding, which has garnered 49 citations and represents a paradigm shift in how defects are identified during the build process. He further advanced the field by introducing intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic systems, a 2023 publication that has already accumulated 12 citations. This work enables autonomous correction of geometric deviations during fabrication, significantly reducing post-processing requirements. His research is particularly notable for its practical industrial applications, combining machine learning with real-time sensor feedback to create self-correcting manufacturing systems. Dr. Nguyen-Huu's contributions are essential reading for researchers working at the intersection of additive manufacturing, robotics, and artificial intelligence, offering a pathway toward fully autonomous, defect-free production of large-scale metal components.
Research Focus
Key Achievements
Top Papers
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