CV

Curriculum Vitae — KyeongKook Seo

Contact Information

Name KyeongKook Seo (서경국)
Professional Title Ph.D. Student in Artificial Intelligence
Email kyeongkookseo@unist.ac.kr
Location AIGS, UNIST, 50 UNIST-gil, Ulju-gun, Ulsan, South Korea 44919

Professional Summary

Ph.D. student in the Lab of Advanced Imaging Technology (LAIT), AIGS, UNIST, advised by Prof. Jaejun Yoo. Research interests include generative models, federated learning, safety AI, loss landscape geometry, and weight-space learning.

Interests

Research Interests: Generative Models, Safety AI, Federated Learning, Loss Landscape Geometry, Weight-Space Learning

International Conferences

Domestic Conferences (국내 학회)

Patents

Education

  • 2025 - Present

    Ulsan, South Korea

    Ph.D.
    Ulsan National Institute of Science and Technology (UNIST)
    Artificial Intelligence
  • 2023 - 2025

    Ulsan, South Korea

    M.S.
    Ulsan National Institute of Science and Technology (UNIST)
    Artificial Intelligence
  • 2016 - 2022

    Incheon, South Korea

    B.S.
    Inha University
    Computer Science Engineering

Awards

  • 2026
    Silver Reviewer
    International Conference on Machine Learning (ICML)

    Recognized as a Silver Reviewer for ICML 2026.

  • 2026
    Best Poster Presentation Award (우수포스터발표상)
    Workshop on Image Processing and Image Understanding (IPIU 2026)

    For “가중치 공간에서의 위상-기반 모델 분류” (Heo, Seo, Yoo).

  • 2025
    Best Poster Grand Award (우수 포스터 대상)
    2025 UNIST AI Technology Open Workshop

    For PRISM (ICLR 2025); advisor: Jaejun Yoo.

Experience

  • 2026 - 2026

    Ulsan, South Korea

    Teaching Assistant
    Introduction to AI Programming II, UNIST
    Teaching Assistant for the undergraduate course Introduction to AI Programming II (Spring 2026).
  • 2024 - 2024

    Ulsan, South Korea

    Teaching Assistant
    Deep Generative Models (심층생성모델), UNIST
    Teaching Assistant for the graduate course Deep Generative Models (Spring 2024).
  • 2022 - Present

    Ulsan, South Korea

    Graduate Researcher
    Lab of Advanced Imaging Technology (LAIT), UNIST
    Generative Feature Matching Network — improving performance of GFMN.
  • 2022 - 2022

    Member
    SmileGate AI Membership
    Developed project originating from K-digital Hackathon.
  • 2022 - 2022

    Participant
    K-digital Hackathon
    Filtering Violence Scene in Video Data — multi-modal violence detection (image + audio features).
  • 2022 - 2022

    Trainee
    Naver Boostcamp AI Tech
    Completed bootcamp certification.

Skills

Programming Languages: Python, C, C++
Frameworks: PyTorch