NamGyu Jung

I am a Ph.D. student in Computer Engineering at Gachon University under the supervision of Prof. Chang Choi. My research topics on Knowledge Inference, Graph Representation, and Explainable AI, specifically focusing on video understanding. Currently, my research employs scene and knowledge graphs to model semantic relationships and contextual dependencies, advancing methodologies to enhance the transparency and interpretability of AI systems. This research addresses critical challenges such as data sparsity, domain variability, and scalability, contributing to bridging the gap between low-level visual data and high-level semantic abstraction.

I am actively seeking opportunities for academic collaboration in visual understanding, knowledge inference, and related domains. Please feel free to reach out to discuss potential research partnerships.


Education
  • Gachon University
    Gachon University
    Ph.D. Student in Computer Engineering
    Mar. 2023 - present
  • Gachon University
    Gachon University
    M.S. in Computer Engineering
    Sep. 2021 - Feb. 2023
  • Gachon University
    Gachon University
    B.S. in Computer Engineering
    Mar. 2016 - Aug. 2021
Experience
  • SCIE Journal Reviewer
    SCIE Journal Reviewer
    • - IEEE Internet of Things Journal
  • The Catholic University of Korea
    The Catholic University of Korea
    Lecturer in AI Dept.
    Mar. 2023 - Aug. 2024
    • - Discrete Mathematics for AI (Spring 2023)
    • - Linear Algebra (Fall 2023)
    • - Algorithm (Spring 2024)
News
2024
Ph.D Student Research Grant Program: Semantic-Based Video Understanding through Meta-Cognitive Inference
MOE | NRF, Sep. 2024 ~ Aug. 2026
Aug 12
Selected Publications (view all )
An Attention-based Dual Stream Network for Efficient Electricity Price Forecasting

NamGyu Jung, Taimoor Khan, Chang Choi

ACM/SIGAPP Symposium on Applied Computing (SAC-2025), Accepted

An Attention-based Dual Stream Network for Efficient Electricity Price Forecasting

NamGyu Jung, Taimoor Khan, Chang Choi

ACM/SIGAPP Symposium on Applied Computing (SAC-2025), Accepted

Knowledge Sharing based Lightweight Transformer for Construction Safety Accident Prevention

NamGyu Jung, SaeBom Lee, Chang Choi

ACM/SIGAPP Symposium on Applied Computing (SAC), May 2024

Knowledge Sharing based Lightweight Transformer for Construction Safety Accident Prevention

NamGyu Jung, SaeBom Lee, Chang Choi

ACM/SIGAPP Symposium on Applied Computing (SAC), May 2024

Kiosk Recommend System Based On Self-Supervised Representation Learning of User Behaviors in Offline Retail

NamGyu Jung, Van Thuy Hoang, O-Joun Lee, Chang Choi

Top 3.4%IEEE Internet of Things Journal, May 2024

Kiosk Recommend System Based On Self-Supervised Representation Learning of User Behaviors in Offline Retail

NamGyu Jung, Van Thuy Hoang, O-Joun Lee, Chang Choi

Top 3.4%IEEE Internet of Things Journal, May 2024

All publications