Soonchunhyang University · Est. 2006

CGLAB conducts research in physically based simulation, artificial intelligence, and computer graphics, emphasizing machine learning driven by medical data.

Our Research

We investigate fundamental problems at the intersection of computer graphics, physical simulation, and artificial intelligence, with applications in digital content creation, scientific computing, and healthcare.

  • 01

    Physical Simulation

    Physics-based modeling for realistic and efficient simulation

    We develop physics-based methods for dynamic simulation, including FEM, PBD, and multi-physics modeling, to create realistic and computationally efficient simulations.

    • FEM
    • PBD
    • Dynamic Simulation
    • Multi-Physics
  • 02

    Deformable Object Modeling

    Mass-spring systems and cloth simulation

    We study deformable object modeling techniques such as mass-spring systems, cloth simulation, and contact handling for realistic animation and interaction.

    • Mass-Spring System
    • Cloth Simulation
    • Deformation
    • Contact & Collision
  • 03

    Medical Artificial Intelligence

    Machine learning driven by medical data

    We develop AI methods for medical image analysis, focusing on mammography, radiology reports, and multi-modal medical data to support clinical decision-making.

    • Medical Imaging
    • Deep Learning
    • Multi-modal Learning
    • Clinical Application