CV

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Contact Information

Name Nahyun Lee
Professional Title Undergraduate Researcher
Email [email protected]
Website https://nahyunlee.com

Professional Summary

Augmenting how we perceive the world. My research explores the intersection of Cognitive Augmentation, Sensing, and Human–Computer Interaction. I aim to help people interpret an information-overloaded world.

Experience

  • 2026 - present

    Daejeon, South Korea

    Research Intern
    KAIST Wearable and Interactive Technology Lab
    Advised by Ian Oakley
    • Investigating beamforming-based audio sensing to enhance perception of everyday information
    • Developing audio-driven granular synthesis for high-DOF vibrotactile feedback in haptic interaction
  • 2025 - 2025

    Suwon, South Korea

    Research Intern
    Smart Biomedical Lab, Sungkyunkwan University
    Advised by Jowoon Chong
    • Developed a load cell– and IMU–based muscle function assessment device with BLE
    • Built a mobile app for real-time sensing and accessible interaction for older adults
    • Collaborated with Korea University Medicine and KAIST on muscle function assessment for older adults
  • 2024 - 2025

    Incheon, South Korea

    Research Assistant
    Interaction Independence Study, Stanford Center at the Incheon Global Campus
    Advised by Hoseok Jung
    • Prototyped thermal haptic interfaces based on radiative and convective heat transfer
    • Developed a physics-based fire visualization pipeline using Fire Dynamics Simulator (FDS) for AR/VR
    • Collaborated with TU Wien and Imperial College London on thermal haptics for firefighter training
  • 2025 - 2026

    Suwon, South Korea

    Co-Founder
    Modly
    • Selected for the Korean I-Corps program (Ministry of Science and ICT); trained at George Washington University
    • Led business strategy for a 3D scanning service, conducting 100+ user interviews to identify viable applications
  • 2024 - 2024

    Suwon, South Korea

    AI Developer
    AiGENDA
    • Developed a lecture-based video Q&A system using STT, LLMs, and LangChain
    • Enhanced domain-specific terminology recognition (60% → 98%) using RAG and vector databases

Education

  • 2023 - present

    Suwon, South Korea

    B.S.
    Sungkyunkwan University
    Mechanical Engineering, Software Engineering and Self-Designed Major in HCI
  • 2022 - 2022

    Seoul, South Korea

    Coursework (First-Year Completed)
    Hanyang University
    Business Administration

Publications

  • 2026
    Is This Enough to Decide? Facilitating Informed Investment Decisions by Visualizing Missing Evidence
    ACM CHI EA
  • 2025
    A Low-Cost Quantitative Evaluation Testbed of Small-Sized IMU Sensor Modules Using a Smartphone
    ICCE-Asia

Awards

  • 2025
    Presidential Science Scholarship
    Ministry of Science and ICT
  • 2025
    Cho Byung-Doo Scholarship
  • 2024
    Korea Entegris Scholarship
  • 2024
    Hyeong-Ae Scholarship
  • 2023
    Top 3% Academic Excellence Scholarship

Projects

  • Audio-driven Haptic Interaction

    High-DOF vibrotactile feedback using granular synthesis

  • Thermal Haptics for Fire Simulation

    Physics-based AR/VR fire visualization using FDS

Skills

Programming: Python, C/C++, Unity
HCI/XR: Haptics, Audio Interaction, AR/VR
AI/ML: PyTorch, RAG, LangChain
Hardware: Arduino, IMU, BLE

Languages

Korean : Native
English : Full professional

Interests

Research Thinking: Financial Planning, Long-term Strategy, Systems Thinking
Personal: Birdwatching