CV

Education

• B.S. in Artificial Intelligence, EWHA Womans University, 2027 (expected)

Work experience

• Mar. 2024 ~ Jan. 2025: Research Intern
  • PAI Lab @EWHA
  • Advisor: Prof. Junhyug Noh
  • Thesis: Gait Re-Identification based on IMU data
• Jun. 2025 ~ Aug. 2025: Research Intern
  • Computer Graphics Lab @POSTECH
  • Advisor: Prof. Seungyong Lee
  • Thesis: Indoor 3D Reconstruction based on 3DGS

Publications

Developing a Model for Improving 3D Gaussian Splatting Performance Based on DBSCAN

Dayeon Woo^‡1, Eunseo Seo^‡2, Chehun Han^‡3, Yeonkyung Lee^‡4, *Changgyun Jin⁵ (‡: Equally Contributed)

Awards

• Dec. 2023: Excellence Award (2^nd Prize)
  • Idea Competition in Ewha Womans University, Department of AI
  • Proposed a multimodal program for diagnosing depression using facial and voice data, smartphone sensors, and usage logs

Skills and Techniques

• Languages: Python, C, Java, JavaScript, HTML
• Technologies: Pytorch, Numpy, Pandas, Flask
• Tools: VSCode, Git, GitHub, Conda, Docker, Open3D
• OS: Linux (Ubuntu, Jetson)
• Others: Figma