👋 Hi! I’m Junhyeok Lee, and I graduated from the department of the software convergence AIMS Lab, Kyung Hee University with a Master's degree. I'm currently working as an AI Ops Research Engineer at a tech company in Korea as a specialized research personnel fulfilling my mandatory military service.
My current research mainly focuses on Multimodal Medical Artificial Intelligence and Neuroimaging.
Currently, I am also deeply interested in AI Ops, Cloud Infrastructure, and Embodied Agent.

Feel free to explore my work and research!

📄 Publications

Multimodal Neuroimaging Improves Brain Age Prediction and Reveals Association with Schizophrenia Symptoms

Junhyeok Lee, Seo Yeong Kim, Hye Won Park, Juhyuk Han, Sung Woo Joo, Jungsun Lee, and Won Hee Lee^o

Frontiers in Psychiatry, (IF = 3.2, Top 31.4%, Q2), Aug. 2025

Disparities in Accelerated Brain Aging in Recent-onset and Chronic Schizophrenia

Sung Woo Joo^*, Junhyeok Lee^*, Juhyuk Han, Minjae Kim, Yeonwoo Kim, Howook Lee, Young Tak Jo, Jaewook Shin, Jungsun Lee^o, and Won Hee Lee^o

Psychological Medicine, (IF = 5.9, Top 7.1%, Q1), Feb. 2025

Paper Link

REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity

SeungWon Seo^*, SeongRae Noh^*, Junhyeok Lee, SooBin Lim, Won Hee Lee, and HyeongYeop Kang^o

Association for the Advancement of Artificial Intelligence (AAAI 2025), Feb. 25 - Mar. 4 2025, Philadelphia, Pennsylvania, United States

(Oral Presentation, Top 5%)

Paper Link, Video Link, Project Link

The impact of MRI data harmonization on brain age prediction

Junhyeok Lee, Juhyuk Han, Minjae Kim, Yeonwoo Kim, Tae-seong Kim and Won Hee Lee^o

The 7th International Conference on Artificial Intelligence in Information and Communication (ICAIIC 2025), Fukuoka, Japan, Feb 18-21, 2025

Paper Link

Predicting brain age with global-local attention network from multimodal neuroimaging data: Accuracy, generalizability, and behavioral associations

SungHwan Moon, Junhyeok Lee, and Won Hee Lee^o

Computers in Biology and Medicine, (IF = 7.0, Top 10%, Q1), Jan. 2025

Paper Link

Agentic LLM Workflows for Personalized User Experience Questionnaire Generation

Yeonwoo Kim, Junhyeok Lee, Juhyuk Han, Minjae Kim, Howook Lee, and Won Hee Lee^o

IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Nov. 2024

Paper Link

Unsupervised Anomaly Detection and Segmentation in Brain MRI: A Comparative Study

Junhyeok Lee, and Won Hee Lee^o

Organization for Human Brain Mapping, (OHBM 2024) June. 2024

Performance Evaluation of Deep Learning-Based Brain Age Prediction Models Using Structural Magnetic Resonance Imaging

Jaemyeong Lee, Juhyuk Han, Minjae Kim, Junhyeok Lee, and Won Hee Lee^o

Korea Software Congress, (KSC 2024) Dec. 2024

Anatomy-Aided Unsupervised Learning for Brain Anomaly Detection and Segmentation

Junhyeok Lee, and Won Hee Lee^o

Korea Software Congress, (KSC 2023) Dec. 2023

(Awarded 1st Prize, Top 1)

Paper Link

Developing an Integrated Dashboard to Analyze Multimodal Data for User Experience Evaluation

Hyejeong Jo^*, Junhyeok Lee^*, Hye Won Park, Minjae Kim, Yeonwoo Kim, and Won Hee Lee^o

IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) Oct. 2023

Paper Link

Anomaly Detection in Brain MRI with Generative Adversarial Networks

Junhyeok Lee, Juhyuk Han, and Won Hee Lee^o

KCC 2023, Jeju, Korea, Jun. 2023

Investigating Individual Variability in Neuroimaging-Based Brain Age Estimation Using Interpretable Machine Learning

Juhyuk Han, Junhyeok Lee, and Won Hee Lee^o

KSC 2022, Jeju, Korea, Dec. 2022

Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data

Juhyuk Han, Seo Yeong Kim, Junhyeok Lee, and Won Hee Lee^o

Sensors, (IF = 3.9, Top 29.4%, Q2), Oct. 2022

Paper Link

🎓 Education

• M.E. in Software Convergence at Kyung Hee University, 2024.03 - 2026.02
• B.E. in Software Convergence at Kyung Hee University, 2020.03 - 2024.02

💼 Experience

• New York University Visiting Researcher, Global AI Frontier Lab (Co-Director Yann LeCun & Kyunghyun Cho), New York University, 2025.06 - 2025.11
  • On-site visiting scholar in Global AI Frontier Lab, AI for Medicine and Healthcare part with NYU Langone Radiology
• Student Volunteer, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI2025), Philadelphia, Pennsylvania, United States, 2025.2 - 2025.3
  • On-site volunteer for AAAI-25, assisting with conference operations
• KHU Global Ambassador in CES, Office of Educational Innovation & Planning, KHU, 2023.11 - 2024.3
  • On-site Dispatch to CES and Future Strategy Coverage
• Graduate Student Mentor, Kyung Hee University National Center of Excellence in Software, 2024.03 - 2026.02
• Undergraduate Research Intern, Kyung Hee University (AIMS Lab), 2022.12 - 2024.2
  • Conducted research on text-based gesture animation generation
• Department Student Council Vice President, Software Convergence, 2021.03 - 2021.12
  • Led departmental student council activities and organized various academic and social events
• Official Supporters, Global Game Exhibition G-STAR, 2021.11
  • On-site supporter for the G-STAR secretariat in Busan

Research Grants

• Development of Multilevel/Multimodal AI-Based Technologies for Realizing Future Emergency Medical Systems and Fostering Creative Innovative Future Talent, 2024 - 2025
• Research on Multimodal AI Models for Future Emergency Medicine, 2024 - 2025
• Development of an Advanced User Experience Evaluation Framework for Immersive Experiences in X-Space Environments, 2024
• Development of an AI Framework for Predicting Treatment Response in Treatment-Resistant Schizophrenia, 2022 - 2023
• Development of a Deep Learning-Based Algorithm for Predicting Brain Age and Accelerated Aging in Schizophrenia Patients Using Multimodal Neuroimaging Data, 2022 - 2024

🏆 Awards

• 2025 AAAI Student Scholarship (AAAI-25)
  • Paper: REVECA: Adaptive Planning and Trajectory-based Validation in Cooperative Language Agents Using Information Relevance and Relative Proximity
• Scholarship for SCIE Journal Publication, 2025.08
  • For the publication of "Disparities in Accelerated Brain Aging in Recent-onset and Chronic Schizophrenia"
• Excellent Researcher Recommendation Scholarship, 2025.04
• Best Paper - Grand Prize, Korean Institute of Information Scientists and Engineers, 2024.02
• Popularity Award, Realistic Media Competition, 2023.12

📚 Teaching

• Machine Learning [SWCON25300], 2025.03 - 2025.07
• Graduate Thesis [SWCON40200], 2024.03 - 2024.12
• Software Convergence Capstone Design [SWCON40103], 2024.03 - 2024.12
• Data Anaylsis Capstone Design [SWCON32100], 2024.03 - 2024.12

Academic Contributions

• Program Committee / Main Track Reviewer, AAAI 2026, 2025.08 - 2025.10
• Student Volunteer, AAAI 2025, 2025.02 - 2025.03