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General Information

Full name Pyomin Hong
Email pyomindl@g.hongik.ac.kr
Languages Korean, English
Research interests Generative Model, AI Security & Safety, Trustworthy AI

Education

  • 2025.02
    M.S. in Computer Engineering
    Hongik University, Seoul, Korea
    • Advised by Youn Kyu Lee
  • 2023.02
    B.E. in Information Security
    Seoul Women's University, Seoul, Korea

Research Experience

  • 2025.03 - 2026.02
    Artificial Intelligence and Information Systems Lab
    Visiting Researcher, Prof. Albert No
    • Designed a decoding-guided watermarking strategy to secure the provenance of discrete diffusion language models
  • 2023.03 - 2025.02
    Advanced Intelligent Software Lab
    Graduate Research Assistant, Prof. Youn Kyu Lee & Prof. Tae Hyung Kim
    • Designed zero-shot inverse imaging with untrained generative priors to reconstruct high-fidelity images from corrupted data
    • Developed adaptive orthogonal transforms to augment limited sensor datasets against Gaussian noise
    • Assessed adversarial vulnerabilities in biometric systems and developed mitigation strategies to enhance the robustness of face and fingerprint recognition
    • Developed detection strategies for deepfakes and fingerprint presentation attacks to ensure cross-dataset reliability in real-world scenarios
  • 2022.03 - 2023.02
    Advanced Intelligent Software Lab
    Undergraduate Research Intern, Prof. Youn Kyu Lee
    • Identified vulnerabilities in fingerprint authentication and developed strategies to enhance spoof detection and adversarial robustness
    • Aligned and stitched drone thermal images to build a specialized dataset for deep learning–based environmental monitoring

Research Projects

  • 2024.04 - 2024.11
    AI-based Flood Risk Level Assessment through Video and Image Analysis
    Supported by Korea Institute of Science and Technology Information (KISTI)
    • Architected a flood risk analysis pipeline integrating YOLO-based object detection and SAM-based segmentation for real-time flood monitoring
  • 2022.03 - 2024.12
    Development of Integrated Framework for Automated Generation of Neural Network Applications and Optimization of Execution Environment
    Supported by Institute for Information communication Technology Planning (IITP)
    • Led a team in developing a drag-and-drop-based visual interface for designing and inspecting deep learning architectures
    • Designed and implemented neural network architectures, leveraging Docker to ensure reproducible environments

Honors & Awards

  • 2025.01
    Commendation for Distinguished Achievement
    Hongik University
  • 2024.10
    Best AI Paper Award
    IEEE International Conference on ICT Convergence (ICTC)
  • 2023.12
    AI Utilization Award, Advertising and Promotion Competition (Poster Category)
    Gyeonggi Provincial Goverment
  • 2022.10
    Best Paper Award
    IEEE International Conference on ICT Convergence (ICTC)
  • 2021.07
    Best Project Award, Bahrom Moral Education III (TPBL Course)
    Seoul Women’s University
  • 2020.08
    Excellence Award, Programming GURU1 Hackathon Contest
    National Program of Excellence in Software, Seoul Women’s University

Teaching Experience

  • Spring 2024
    Teaching Assistant, Information Security
    Hongik University, Professor: Youn Kyu Lee
    • Assisted over 90 Computer Engineering students with hands-on practice covering web hacking and Android vulnerability analysis
  • Fall 2024
    Teaching Assistant, C-Programming
    Hongik University, Professor: Youn Kyu Lee
    • Assisted over 30 beginners with hands-on practice, covering basic C programming

Extracurricular Activities

  • 2022.09 - 2022.11
    Super Hackathon 2022 (NEXON X LIKELION)
    NEXON Korea
    • Conceptualized and developed a story-driven RPG using Lua, focusing on user progression and engagement
  • 2022.09 - 2022.10
    BigContest: Field of Data Analysis
    Ministry of Science and ICT (MSIT), National Information Society Agency (NIA)
    • Analyzed user interaction data to predict loan application outcomes using Random Forest and XGBoost, evaluating feature importance and comparing model performance
  • 2022.06 - 2022.08
    K-Shield Junior 8th Cohort
    Ministry of Science and ICT (MSIT), Korea Internet & Security Agency (KISA)
    • Completed an intensive program in cybersecurity fundamentals and incident response, culminating in the development of a Linux-based automated forensics tool
  • 2021.07 - 2021.08
    Light IT Up Hackathon
    Women's University Union IT Hackathon
    • Developed an Android application in Java for a designated driver service using Kakao Navigation API for real-time driver tracking and route estimation, selected as a finalist

Technical Skills

Programming Languages
Python, C/C++, Java, JavaScript
Frameworks & Libraries
Django, React
Machine Learning
PyTorch, TensorFlow, ONNX (Model Conversion), Hugging Face
Infrastructure & Tools
PostgreSQL, Docker, Git, Ubuntu, Figma, Illustrator