Curriculum Vitae

Contact Information

Name Yohan Lee
Email iyohan@alumni.kaist.ac.kr

Research Interests

Robotics (Perception and HRI), Computer Vision, Augmented Reality, and Human-Computer Interaction

Experience

  • 2025 - 2026

    Seoul, Republic of Korea

    Researcher (Medical AI)
    Biomedical Informatics Lab (BMI Lab), Seoul National University Hospital
    Advisor: Kwangsoo Kim
    • Conducted research on pediatric respiratory sound classification.
    • Worked on transformer-based chronic kidney disease prognosis prediction.
  • 2024 - 2024

    Daejeon, Republic of Korea

    Research Intern
    Networking and Mobile Systems Lab (NMSL), KAIST
    Advisor: Sung-Ju Lee
    • Worked on enhancing visual reasoning in multimodal LLMs by integrating chain-of-thought mechanisms for autoregressive inference.
  • 2022 - 2024

    Daejeon, Republic of Korea

    Master Student
    Wireless Mobile Internet and Services Laboratory (WINSLAB), KAIST
    Advisor: Myungchul Kim
    • Developed a voxel-based grid coordinate system for precise outdoor AR object placement.
  • 2020 - 2021

    Pohang, Republic of Korea

    Undergraduate Research Assistant
    Deep Learning Lab (DLLab), Handong Global University
    Advisor: Injung Kim
    • Developed ML-based anomaly detection pipelines for industrial sensor data in collaboration with POSCO.
    • Worked on WICWIU-based model porting and lightweight model development.
  • 2024 - 2025

    Seoul, Republic of Korea

    LLM Prompt Engineer (Contract)
    ClassU
    • Worked on building an LLM-based agentic system for automated machine learning and data analysis.

Education

  • 2022 - 2024

    Daejeon, Republic of Korea

    M.S.
    Korea Advanced Institute of Science and Technology (KAIST)
    Computer Science
    • Thesis: A User-defined Grid Coordinate for Virtual Object Positioning in Outdoor Mobile Augmented Reality
  • 2018 - 2022

    Pohang, Republic of Korea

    B.S.
    Handong Global University
    Computer Science and Electrical Engineering

Publications

  • 2026
    A Voxel-based Grid Coordinate for Virtual Object Positioning in Outdoor Mobile Augmented Reality
    2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshop

    Presented at IEEE VR 2026 Posters.

  • 2025
    Chronic Kidney Disease Prognosis Prediction using Transformer
    arXiv preprint arXiv:2511.02340

    Under review.

Projects

  • A User-defined Grid Coordinate for Virtual Object Positioning in Outdoor Mobile Augmented Reality

    Master thesis research at WINSLAB, presented at IEEE VR 2026 Posters.

    • Developed user-defined grid coordinates on voxelized building surfaces to resolve location ambiguity in outdoor mobile AR.
    • Combined intuitive relative positioning with precise absolute coordinates.
  • Neural Radiance Fields for Accelerated Rendering in Dynamic Scenes

    Coursework project for CS570 Artificial Intelligence and Machine Learning.

    • Developed a NeRF-based deep learning model for nearly real-time rendering in dynamic scenes with a few training images.
  • WICWIU Based Computationally Efficient Learning Algorithm Development

    Research project at DLLab in collaboration with ETRI.

    • Worked on porting a model from PyTorch to WICWIU.
    • Contributed to WICWIU framework development.
  • Deep Learning / Machine Learning Based Anomaly Detection for Smart Factory

    Research project at DLLab in collaboration with POSCO.

    • Developed ML-based anomaly detection algorithms for industrial sensor data.
    • Built preprocessing pipelines and ran model experimentation.
  • Semi-Supervised Learning based Pediatric Abnormal Respiratory Sound Classification

    Research project at SNUH BMI Lab.

    • Developed a deployable and robust respiratory sound classification system for pediatric patients.
    • Leveraged semi-supervised learning and continual adaptation.

Skills

Programming Languages: Python, C, C#, Kotlin, MySQL, Matlab
Frameworks and Libraries: Unity, Android Studio, PyTorch, Scikit-Learn, NumPy, Pandas, Matplotlib, Seaborn

Teaching

  • 2023 - 2023

    Daejeon, Republic of Korea

    Teaching Assistant
    School of Computing, KAIST
    Course: CS101-23S (Programming 101)
  • 2020 - 2020

    Pohang, Republic of Korea

    Tutor for North Korean Defector
    Handong Institution for Educational Development Department, Handong Global University
    Course: C Programming
  • 2020 - 2020

    Pohang, Republic of Korea

    Tutor for Student with Disability
    Handong Institution for Educational Development, Handong Global University
    Course: C Programming
  • 2019 - 2019

    Pohang, Republic of Korea

    Teaching Assistant
    Global Leadership School, Handong Global University
    Course: Introductory Physics

Awards

  • 2021
    Academic Scholarship (Top 3%)
    Handong Global University
  • 2020
    2nd Prize, AppDev Contest, Bizflow X HGU
    Handong Global University
  • 2020
    2nd Prize, HGU SW Festival Problem Solving Idea Contest
    Handong Global University
  • 2020
    Academic Scholarship (Top 15%)
    Handong Global University
  • 2019
    1st Prize, HGU 2019 Practical Project Hackathon
    Handong Global University
  • 2019
    Academic Scholarship (Top 15%)
    Handong Global University
  • 2019
    Academic Scholarship (Top 3%)
    Handong Global University
  • 2018
    3rd Prize, Handong C Contest
    Handong Global University
  • 2018
    Academic Scholarship (Top 5%)
    Handong Global University