- Nice to meet you! I'm Juhyuk Han, a developer with a strong desire to contribute to society through Artificial Intelligence.
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- LinkedIn Profile Link
- M.S in Department of Software Convergence, Kyung Hee University, 2023.03 ~ Present.
- B.E. in Department of Software Convergence, Kyung Hee University, 2017.03 ~ 2023.02.
- Medical AI (Brain MRI, Chest X-Ray, EEG)
- Machine Learning & Deep Learning
- Explainable AI (xAI)
- Meta Learning
- Large Language Model
- In-context Learning
- Multimodal AI
- Parameter Efficient Fine-tuning
- M.S. Student at AIMS (Artificial Intelligence in Medicine and Science) Lab, Kyung Hee University, 2023.02 ~ Present.
- Undergraduate Researcher at AIMS (Artificial Intelligence & Medical Science) Lab, Kyung Hee University, 2021.07 ~ 2023.02.
- Juhyuk Han, Minjae Kim, Yeonwoo Kim, Won Hee Lee, "A patient-centered framework for chest X-ray report generation using self-reflective large language models", Computers in Biology and Medicine, 2025. (Under Review)
- Juhyuk Han, Tae Seong Kim, Hye Jeong Jo, Won Hee Lee, "LMR-CL: Learning Modality-Fused Representations with Contrastive Loss for Multimodal Emotion Recognition", Proceedings of the Korea Computer Congress (KCC), 2023.
- Juhyuk Han, Seo Yeong Kim, Junhyeok Lee, Won Hee Lee, "Brain Age Prediction: A Comparison between Machine Learning Models Using Brain Morphometric Data.", MDPI, Sensors, 2021.
- Juhyuk Han, Junhyeok Lee, Won Hee Lee, "Investigating Individual Variability in Neuroimaging-Based Brain Age Estimation Using Interpretable Machine Learning", Proceedings of the Korea Software Congress (KSC), 2022.
- Sung Woo Joo, Junhyeok Lee, Juhyuk Han, Minjae Kim, Yeonwoo Kim, Howook Lee, Young Tak Jo, Jaewook Shin, Jungsun Lee, Won Hee Lee, βDisparities in accelerated brain aging in recent-onset and chronic schizophrenia", Psychological Medicine, 2025.
- Junhyeok Lee, Juhyuk Han, Won Hee Lee, "Anomaly Detection in Brain MRI with Generative Adversarial Networks", Proceedings of the Korea Computer Congress (KCC), 2023.
- Sunghwan Moon, juhyuk Han, Won Hee Lee, "Federated Learning for Brain Age Prediction", Proceedings of the Korea Software Congress (KSC), 2021.
- Team AIMS (Juhyuk Han, Hye Jeong Jo, Tae Seong Kim) won the 2nd prize award (Winner of the Minister of Science and ICT Award, κ³ΌνκΈ°μ μ 보ν΅μ λΆμ₯κ΄μ μμ) at the 2023 ETRI Human Understanding Artificial Intelligence Paper Contest (ν΄λ¨Όμ΄ν΄ μΈκ³΅μ§λ₯ λ Όλ¬Έκ²½μ§λν). (2022.07.)
- Winning of the 2022 academic award (νμ μ) at KHU
- Summa Cum Laude graduate student at Software Convergence, Kyung Hee University. (2023.02.)
- Winning of the first prize in the SW-Centered University (SW μ€μ¬ λν) hosted Software Festival for the implementation of 'User-friendly Music Composition Algorithm Based on EEG'. (2021 12.)
- Received the Grand Prize in the [LINC+] 2021 2nd Semester Capstone Design Competition for the implementation of 'User-friendly Music Composition Algorithm Based on EEG'. (2021 12.)
- Received an Honorable Mention in the 2nd Shipbuilding/Maritime Industry Big Data/AI College Student Competition for Digital Innovation in the Shipbuilding/Maritime Industry, hosted by Hyundai Heavy Industries (νλ μ€κ³΅μ ). (2022.02.)
- Ranked 3rd in the Software Convergence Dacon Data Analysis Competition hosted by a Software-Centric University (SW μ€μ¬ λν). (2022.06.)
- Awarded Excellence Prize in the Main Round of the AI Competition hosted by Dacon and Software-Centric University (SW μ€μ¬ λν). (2022.11.)