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  • Kyung Hee Univ.
  • Yongin, Korea

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dusdnKR/README.md

Yeonwoo Kim · 김연우

M.S. Student in Software Convergence · AI & Medical Informatics

Graduate Researcher @ AIMS Lab, Kyung Hee University · Advised by Prof. Won Hee Lee


Email  Google Scholar  GitHub  Lab


About Me

I am a graduate researcher at AIMS Lab, Kyung Hee University, where I have been conducting research since August 2023. My work focuses on Large Language Models, Multimodal LLMs, and Medical AI — specifically designing agentic AI systems and applying them to healthcare and user experience domains. I have authored and co-authored papers in IEEE conferences and journals including Psychological Medicine and Journal of Medical Systems.


Education

Degree Major Institution Period
🎓 M.S. Software Convergence Kyung Hee University Mar 2025 — Present
🎓 B.S. Software Convergence Kyung Hee University Mar 2021 — Feb 2025

Experience

Role Organization Period
🏛 Visiting Researcher Global AI Frontier Lab, New York University May 2026 — Jul 2026
🔬 Undergraduate / Graduate Researcher AIMS Lab, Kyung Hee University Aug 2023 — Present

Tech Stack

Category Badges
ML / DL PyTorch TensorFlow scikit-learn HuggingFace CUDA LangChain LangGraph
Languages Python C++ Java
Data NumPy Pandas
Tools Docker Git Linux W&B VS Code

Projects

KoEDUGPTedub.kr

GPT-powered chatbot providing accurate, up-to-date information about South Korea's college admission system.

Role Founding member (Sep 2023) → Sole maintainer & developer (present)
Scope End-to-end feature development, deployment, and maintenance as a one-person operation
Recent features File attachment support, web-search-augmented answer generation, etc.
Stack Python, Flask / FastAPI, OpenAI GPT API, Google Custom Search API
Coverage Donga Education News

Publications

International Journal

  1. Joo, S. W., Lee, J., Han, J., Kim, M., Kim, Y., Lee, H., ... & Lee, W. H. (2025). Disparities in accelerated brain aging in recent-onset and chronic schizophrenia. Psychological Medicine, 55, e60.
  2. Han, J., Kim, M., Kim, Y., & Lee, W. H. (2025). Self-Reflective Chest X-Ray Report Generation with Clinical-Aware Detection and Multilevel Readability. Journal of Medical Systems, 49(1), 190.

International Conference

  1. Jo, H., Lee, J., Park, H. W., Kim, M., Kim, Y., & Lee, W. H. (2023). Developing an Integrated Dashboard to Analyze Multimodal Data for User Experience Evaluation. In IEEE ICCE-Asia 2023 (pp. 1–4). IEEE.
  2. Kim, Y., Lee, J., Han, J. H., Kim, M., Lee, H., & Lee, W. H. (2024). Agentic LLM Workflows for Personalized User Experience Questionnaire Generation. In IEEE ICCE-Asia 2024 (pp. 1–4). IEEE.
  3. Lee, J., Han, J., Kim, M., Kim, Y., Kim, T. S., & Lee, W. H. (2025). The Impact of MRI Data Harmonization on Brain Age Prediction. In IEEE ICAIIC 2025 (pp. 348–352). IEEE.
  4. Kim, Y., Lee, M. J., & Lee, W. H. (2025). EEG-Informed Adaptive User Experience Questionnaire Generation with Multi-Agent Large Language Models. In IEEE/IEIE ICCE-Asia 2025 (pp. 1–5). IEEE.

Domestic Conference (Korea)

  1. 김연우, 한주혁, 김민재, 박지후, & 이원희. (2024). 의료 영상 보고서 검색을 위한 정렬이 필요 없는 멀티모달 검색 증강 생성 방법. 한국정보과학회 학술발표논문집, 2227–2229.
  2. 온유나, 한주혁, 김민재, 김연우, & 이원희. (2024). 한국어 문서의 표 텍스트 정보 추출을 위한 표 인식 도구의 비교 분석. 한국정보과학회 학술발표논문집, 1940–1942.
  3. 김민재, 한주혁, 김연우, & 이원희. (2024). Self-Reflective 대규모 언어 모델을 이용한 환자 중심 의료 보고서 생성 모델 개발. 한국정보과학회 학술발표논문집, 701–703.
  4. 박지후, 김민재, 김연우, & 이원희. (2024). 휴지기 기능적 MRI 데이터를 이용한 정신 질환 환자의 뇌 기능적 연결성과 인지 기능의 상관 분석. 한국정보과학회 학술발표논문집, 2221–2223.
  5. 김연우, 한주혁, 김민재, & 이원희. (2024). 대규모 언어 모델을 이용한 언어적 피드백 기반 환자 친화적 방사선 보고서 생성. 한국정보과학회 학술발표논문집, 1514–1516.
  6. 박현준, 김경훈, 김민재, 김연우, 이준혁, & 이원희. (2025). 소형 언어 모델의 환자 친화적 방사선 보고서 요약을 위한 자기 개선 프레임워크 적용 및 성능 분석. 한국정보과학회 학술발표논문집, 2272–2274.
  7. 김경훈, 박현준, 김민재, 김연우, 이준혁, & 이원희. (2025). 바이오메디컬 문헌의 대중 친화적 요약 성능 향상을 위한 용어 정의 기반 Prompt 전략 방법. 한국정보과학회 학술발표논문집, 2227–2229.

Awards

Award Division Role
🏆 KCC 2024 Encouragement Award Undergraduate Division 1st Author
🏆 KCC 2024 Encouragement Award Undergraduate Division Co-Author

Patents

# Title Reg. No.
1 Multimodal User Experience Evaluation Analysis Tool C-2023-053985
2 Interactive Dashboard Based on Multimodal Data Analysis for UX Evaluation C-2023-044704
3 Personalized UX Questionnaire Generation Program Using LLM C-2025-042581
4 EEG-Based UX Questionnaire Generation Program Using Multi-Agent LLM C-2025-042582

Teaching Assistant (TA)

  • [SWCON253] Machine Learning
  • [SWCON425] Data Science & Visualization — Designed & delivered a 3-session LLM from Scratch hands-on workshop (materials)

Pinned Loading

  1. anatomy-aware-mim anatomy-aware-mim Public

    Anatomy-guided masked image modeling for self-supervised 3D brain MRI representation learning (CCN 2026)

    Python

  2. UEQ-mLLM UEQ-mLLM Public

    Agentic LLM workflow for personalized UX questionnaire generation (IEEE ICCE-Asia 2024)

    Python