Research Experience

Lumir Inc.

AI Researcher, 2024 to Present (Military Service)

  • Project: AI Research (AI Team)
    • Role: Research and development in AI applications

SI Analytics

Research Intern, 2023.07 to 2023.09

  • Project: Image Reconstruction (SR Team)
    • Role: Research on Blind Super Resolution and degradation estimation in SAR & EO images
    • Developed methods for generating synthetic low-resolution data and estimating degradation in real images
    • Implemented end-to-end pipeline for learning degradation and generation


Education

Ulsan National Institute of Science and Technology (UNIST)

M.S. in Artificial Intelligence, 2021.09 to 2023.08

  • Thesis: “Improving Reference-based Super Resolution in Remote Sensing via Domain Matching”
  • Advisor: Jaejun Yoo

Kyungpook National University

B.S. in Computer Science and Engineering, 2017.03 to 2021.02 (Transferred)

  • Advisor: Jaeil Kim


Academic Service

Reviewer

  • IEEE Geoscience and Remote Sensing Letters (2024 – present)
  • IEEE Transactions on Circuits and Systems for Video Technology (2025 – present)


Skills

Technical Skills

  • Programming Languages: Python, C++, Java, MATLAB
  • Deep Learning Frameworks: PyTorch, TensorFlow, TensorFlow Lite
  • Computer Vision: OpenCV
  • Development Tools: Git, Linux, Docker, Android Studio
  • Other: MFC, QGIS, GDAL

Research Areas

  • Super Resolution (Blind SR, Reference-based SR, SISR)
  • Image Reconstruction and Denoising
  • Generative AI (GAN, Diffusion)
  • Object Detection and Segmentation
  • Remote Sensing and SAR Image Processing

Languages

  • Korean (Native)
  • English (Intermediate High, OPIC 2023.11)