Gangpeng Huang

Papers

Total Citations

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About

Gangpeng Huang is a researcher whose work centers on computational geometry and precision engineering, with a particular focus on curve fitting algorithms for structural design. His major contribution lies in advancing the efficiency and accuracy of geometric fitting methods—specifically, his 2024 paper "Algorithm Research Based on an Elliptical Arc Fitting Curve" introduces a novel approach that uses fewer elliptical arc segments to achieve higher fitting precision than traditional line or arc methods. This work addresses a critical bottleneck in design optimization, where existing techniques often compromise between computational speed and accuracy. Although his most-cited paper currently holds 1 citation, its recent publication suggests growing recognition in the field. Huang’s research is particularly relevant for applications in CAD/CAM systems, aerospace component design, and automotive body shaping, where precise curve representation is essential. His algorithm promises to reduce data storage requirements while maintaining tight tolerances, offering practical benefits for industries reliant on complex freeform surfaces. As his work gains traction, Huang is positioned to make further contributions to geometric modeling and computational design optimization.