Soonchunhyang University · Est. 2006
CGLAB conducts research in physically based simulation, artificial intelligence, and computer graphics, emphasizing machine learning driven by medical data.
01 / RESEARCH
View All Research →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
02 / SELECTED PUBLICATIONS
Recent Research & Publications
We publish in leading journals and conferences at the intersection of computer graphics, simulation, and medical AI.
View All Publications →- 2026JOURNAL
Hybrid CPU–GPU Cutting Simulation Using Position-Based Dynamics and Internal Shape-Preserving Constraints in Unity 3D
Lyudmila Khan, Yoo-Joo Choi, Min Hong | Electronics, 15(17), 3796 · 2026
- 2026JOURNAL
GPU-Accelerated Thermally Coupled SPH for Real-Time Boiling Simulation with Controllable Nucleation
Muhammad Waseem, Min-Hyung Choi, Min Hong | IEEE ACCESS, Vol. 14 · 2026
- 2026JOURNAL
Lightweight Transformer-Enhanced YOLOv11 for Real-Time Fabric Defect Detection: A Systematic Comparison with DETR-Based Architectures
Makara Mao, Min Hong | Electronics, 15(15), 3244 · 2026
- 2026CONFERENCE
Unity 엔진 기반 니파 바이러스 민·관 협력 대응 교육 시뮬레이션 시스템 개발
김상호, 강병훈, 권진오, 박민성, 전수영, 조현우, 정영웅, 배준상, 정현우, 민지홍, 이하민… | 데이터사이언스학회 · 2026
- 2026CONFERENCE
유방촬영술 기반 이진 분류에서 딥러닝 Backbone 아키텍처 성능 비교 분석
배준상, 김태헌, 민지홍, 홍민 | 데이터사이언스학회 · 2026