| Notion

한주혁님 3.5x4.5.jpg

CONTACT

010-9916-0652
[email protected]
Seoul, Korea

SKILLS

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SOCIALS

GitHub

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Tistory Blog

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Tistory (LAB)

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Google Scholar

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$$ \Huge \textbf {Juhyuk Han} \\ \small AI\,developer\,and\,Data\, scientist $$

Hello! I’m an AI researcher driven to transform lives through Machine Learning, Deep Learning, and Large Language Models. Recently, my research has focused on Adaptive Medical Report Generation, where I leverage LLMs and agents to develop more personalized and efficient healthcare insights. I also explore advanced techniques like Retrieval Augmented Generation (RAG) to build context-aware systems—most recently developing a chatbot that serves hundreds of users in collaboration with an education service provider. I’m constantly seeking emerging technologies and innovative ways to apply them for meaningful impact.

DEGREE

Kyung Hee University

MS in Software Convergence

2023.03 - 2025.02

Kyung Hee University

BE in Software Convergence

2017.03 - 2023.02

PUBLICATIONS (CONFERENCE)

Han JH, Lee WH, A transformer-based meta-matching stacking method improves prediction accuracy of fluid intelligence, Human Brain Mapping Annual Conference, Seoul, Republic of Korea, June, (2024). [Poster]
Han JH, Kim TS, Jo HJ, Lee WH, LMR-CL: Learning Modality-Fused Representations with Contrastive Loss for Multimodal Emotion Recognition. Korea computer congress (KCC), 2142-2144 (2023). (co-first author) [Oral]
Han JH, Lee JH, Lee WH , Investigating Individual Variability in Neuroimaging-Based Brain Age Estimation Using Interpretable Machine Learning. Korea software congress (KSC), 1546-1548 (2022). [Poster]
MoonSH, HanJH, Lee WH, Federated Learning for Brain Age Prediction. Korea software congress (KSC), 1431-1433 (2021). [Poster]
Lee JH, Han JH, Lee WH, Anomaly Detection in Brain MRI with Generative Adversarial Networks. 1805-1807 (2023). [Poster]
Jo HJ, Yang Y., Han JH, Duan Y., Xiong H., Lee, WH, Are EEG-to-Text Models Working?. arXiv preprint arXiv:2405.06459. (Under Revision)

PUBLICATIONS (JOURNAL)

Han, J., Kim, S. Y., Lee, J., & Lee, W. H. (2022). Brain age prediction: A comparison between machine learning models using brain morphometric data. Sensors, 22(20), 8077.
Han, J., Kim, M., Kim, Y., & Lee, W. H. (2024). A patient-centered framework for chest X-ray report generation using self-reflective large language models. Computers in Biology and Medicine. (Under Review)
Joo S. W., Lee JH, Han, J., Kim, M., Kim Y., Lee H, Jo Y. T., Shin J., Lee J., & Lee W. H. (2025). Disparities in accelerated brain aging in recent-onset and chronic schizophrenia. Psychological Medicine.

AWARDS

2023.06

2023.02

2022.12

2022.11

2022.06

2022.02

2022.01

2021.12

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