Hyungki Kim

Jeonbuk National University, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Hyungki Kim is a leading researcher in computer-aided design (CAD) and geometric modeling, with a focus on bridging the gap between traditional engineering workflows and modern machine learning. His key research areas include 3D CAD model reconstruction, deep learning for mechanical part recognition, and interactive modeling on mobile platforms. Kim’s most impactful contribution is his work on a dataset and deep learning method for reconstructing 3D CAD models containing machining features, which has garnered 57 citations since 2021. This work addresses a critical challenge in reverse engineering and robotic mapping by enabling automated recognition of manufacturing features from 3D data. Earlier, Kim pioneered the concept of editing 3D models on smart devices, proposing a mobile CAD system that empowers engineers to collaborate and iterate ideas on the go—a forward-looking contribution cited 11 times. His research has direct applications in education, robotics, and industrial design, demonstrating how AI and mobile technology can democratize 3D modeling. Kim’s work is essential reading for researchers interested in the intersection of deep learning, geometric reasoning, and practical CAD tools.