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Education

  • Ph.D. Candidate in Mechanical Engineering (Mar. 2023 - Feb. 2028, Expected)
    • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
    • Advisor: Kuk-Jin Yoon
    • GPA: 3.81/4.3
  • M.S. in Mechanical Engineering (Sep. 2021 - Feb. 2023)
    • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
    • Advisor: Kuk-Jin Yoon
    • GPA: 4.10/4.3
  • B.S. in Mechanical Engineering and Electrical Engineering (Double Major) (Mar. 2015 - Feb. 2021)
    • Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
    • GPA: 3.76/4.3, cum laude

Research Interests

  • Foundation Model Optimization and Adaptation
    • Multi-task, multi-objective, and non-convex optimization
    • Parameter-efficient adaptation, model merging, and knowledge distillation (including on-policy distillation)
    • Test-time adaptation and in-context learning
  • Embodied Intelligence
    • Vision-language-action models and uncertainty-guided reasoning
    • Robust perception and motion planning for autonomous systems

Research Experience

  • Project Leader (Mar. 2025 - Present)
    • Core Technology Development for Autonomous Driving in Unstructured Off-Road Environments
    • Funded by Hanwha Aerospace. Real-world deployment target in unstructured off-road terrain.
  • Project Leader (Mar. 2024 - Mar. 2025)
    • Unmanned Swarm CPS Research Lab
    • Funded by Agency for Defense Development (ADD). Multi-agent perception and coordination for autonomous robotic systems.
  • Project Leader (Mar. 2022 - Feb. 2024)
    • Development of a 2kg-Class Small Electro-Optical Tracking System for Drones
    • Funded by Institute of Civil-Military Technology Cooperation. Multi-modal (EO/IR) detection and tracking deployed on drone hardware.
  • Project Member (Mar. 2021 - Feb. 2022)
    • Unmanned Swarm CPS Research Lab
    • Funded by Agency for Defense Development (ADD). Multi-agent perception research for autonomous robotic systems.

Patents

  • Apparatus and Method for Learning Multiple Tasks in a Partial Labeling Environment
    • Republic of Korea Patent Application No. 10-2026-0089936 (Filed May 18, 2026)
    • Jae Young Lee, Seung Uk Ahn, Young Woo Seo, Kuk-Jin Yoon, Wooseong Jeong, Je Gyeong Cho, Young Ho Yoon
  • Apparatus and Method for Generating Image Dataset for Learning and Evaluation of Image Stitching
    • Republic of Korea Patent No. 10-2645640 (Registered Mar. 5, 2024)
    • Kuk-Jin Yoon, Hyeokjun Kweon, Yoonsu Kang, Wooseong Jeong, Hyeonseong Kim, Hwi-Sung Park
  • Apparatus and Method for Image Stitching
    • Republic of Korea Patent No. 10-2571530 (Registered Aug. 23, 2023)
    • Kuk-Jin Yoon, Hyeokjun Kweon, Yoonsu Kang, Wooseong Jeong, Hyeonseong Kim, Hwi-Sung Park

Honors and Awards


Academic Service

  • NeurIPS (2024, 2025)
  • ICLR (2025, 2026)
  • CVPR (2025, 2026)
  • ICML (2025)
  • ICCV (2025)
  • ECCV (2026)
  • BMVC (2026)
  • AAAI (2027)
  • IJCV (2026)
  • IEEE TMM (2026)

Skills

  • Languages: Python (proficient), C++ (proficient), MATLAB
  • ML Frameworks: PyTorch, JAX, NumPy, OpenCV
  • Efficient Training: PyTorch DDP, DeepSpeed, flash-attention, xformers
  • Hugging Face: Transformers, Diffusers, PEFT, Accelerate
  • Experiment & DevOps: Weights & Biases, TensorBoard, Docker, Git
  • Robotics: ROS, ROS2
  • Spoken Languages: Korean (native), English (fluent)