Nicholas Poh Huat Ng
Papers
3
Total Citations
142
H-Index
3
About
Nicholas Poh Huat Ng is a leading researcher in advanced manufacturing, specializing in additive manufacturing process monitoring, digital twin development, and multisensor fusion. His work centers on enhancing the reliability and quality of laser-directed energy deposition (L-DED) through real-time, data-driven approaches. Ng’s most impactful contribution is his 2023 paper on "Multisensor fusion-based digital twin for localized quality prediction in robotic laser-directed energy deposition," which has garnered 124 citations. This work pioneers the integration of multiple sensor streams—including infrared thermal imaging and melt pool geometry data—into a digital twin framework that enables localized, predictive quality control during the build process. His earlier research on in-situ melt pool monitoring using infrared thermal imaging (2022, 12 citations) laid the groundwork for detecting process anomalies and defects, shifting from traditional geometric analysis to comprehensive thermal characterization. Ng’s achievements include advancing the field’s understanding of how multisensor data can be fused to create robust, real-time quality assurance systems for robotic additive manufacturing. His research is instrumental in moving L-DED from prototyping to industrial-scale production, offering significant implications for aerospace, automotive, and biomedical applications.
Research Focus
Key Achievements
Top Papers
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