Nguyen Minh Hieu
Research Engineer in 3D Vision, Geometry Processing, and Machine Learning

Education
Korea Advanced Institute of Science and Technology (KAIST)
Bachelor in Computer Science and Electrical Engineering
Feb 2021 - Aug 2024
Daejeon, South Korea
Industry Experiences
Netropy Inc.
Research Engineer • 3D Reconstruction
Oct 2024 - Present
Seoul, South Korea
  • Research and develop robust large scale 3D reconstruction methods for robotics simulation.
  • StoneLab
    Machine Learning Research Intern • 3D Machine Learning
    Mar 2024 - Jun 2024
    Seoul, South Korea
  • Research on 3D Adaptive Shell for accelarated segmentation and classification on CT-Scans.
  • Research on the Inverse Diffusion Model on Medical Imaging
  • Steinfeld Co.
    Software Engineer Intern • Visualization and Geometry Processing
    Jun 2022 - Aug 2022
    Seoul, South Korea
  • Implemented Bézier curve editing algorithm and tools on surface meshes of dental crowns.
  • Implemented Surface Editing and Deformation for dental crowns.
  • Research Experiences
    KAIST Visual AI Lab
    Student Researcher advised by Prof. Minhyuk Sung
    Jun 2022 - Sep 2024
    Daejeon, South Korea
  • Worked on utilizing CLIP as a multi-view regularizer for Neural Radiance Field (NeRF).
  • Published a paper in ICCV 2023 on Latent Diffusion for shape generation and manipulation: Worked on network architecture design, formulation, and implemented text-based editing.
  • Published a paper on Cylinder Extrusion CAD model from Multi-view Images: Led the initial implementation of the main method and optimal surface extraction from the neural field.
  • Worked human motion diffusion interpolation via hyperpherical splines.
  • IBS Data Science Group
    Student Researcher advised by Prof. Meeyoung Cha (now Director at MPI)
    Dec 2021 - May 2022
    Daejeon, South Korea
  • Used Contrastive Learning and manifold-based dimensional reduction method to analyze and visualize the social-economic trends based on the evolution of sneaker design.
  • NMAIL Lab
    Student Researcher advised by Prof. Sungho Jo
    Feb 2020 - Dec 2020
    Daejeon, South Korea
  • Worked on rewriting and merging weights of generative models.
  • Ahn Microbial Engineering Lab
    Student Researcher advised by Prof. Junghoon Ahn
    Jan 2019 - Feb 2021
    Daejeon, South Korea
  • Conducted analysis on Protein Docking Simulation using Maestro.
  • Developed and published an efficient algorithm for Protein Mutatation based on Linear Charge Density. This software is the basis for 3 publications to Biomedicine (2021), IJMS (2022), and Microbial Cell Factories (2024).
  • Skills
    Languages: C++, Python, Rust, CUDA, WGSL, Slang
    Frameworks: PyTorch, OpenGL, WGPU