Visiting Researchers:
Seo, Seongmin, B.S./M.S.
Ulsan National Institute of Science & Technology (UNIST)
Current: Ph.D. Student, Purdue University, West Lafayette, USA
Publications:
Seo, S., Lee, J.W. (2024). Applications of Big Data and AI-Driven Technologies in CADD (Computer-Aided Drug Design). In: Gore, M., Jagtap, U.B. (eds) Computational Drug Discovery and Design. Methods in Molecular Biology, vol 2714. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3441-7_16
Kim, Sangjin (MS 2026)
Thesis: AI-Based Biomedical Data Modeling and Development of Automation Software Platform
Publications:
Sangjin Kim, Donggeun Kim, Juyong Ko, Xin Zan, Kin Lok Wong, Yujing Mao, Lakhwinder Kaur, Hyeonjun Nam, and Jai Woo Lee, Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies. DIGITAL HEALTH. 2026;12. doi:10.1177/20552076261458965
Sangjin Kim, Jai Woo Lee, Chapter 13 - AI technologies for precision and personalized medicine, Editor(s): Jen-Tsung Chen, Revolutionizing Drug Development, Academic Press, 2026, Pages 199-209, ISBN 9780443340598, https://doi.org/10.1016/B978-0-443-34059-8.00009-9.
Kim, S., Lee, S., Jin, S., & Lee, J. W. (2025). AI Tools and Applications in Managing Immunological Disorders. In J. Chen (Ed.), AI-Assisted Computational Approaches for Immunological Disorders (pp. 39-62). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-9725-1.ch002
Sangjin Kim & Jai Woo Lee (2025) Text as Data: A New Framework for Machine Learning and the Social Sciences, Technometrics, 67:2, 358-359, DOI: 10.1080/00401706.2025.2485656 (Q1 in Statistics & Probability in SCIE edition)
SANGJIN KIM and JAI WOO LEE. (2024). Predicting Hypoxia and Estimating the Interactions of Ewe Metabolites Using Machine Learning Techniques. Journal of the Korean Society for Industrial and Applied Mathematics, 28(4), 226-242. https://doi.org/10.12941/jksiam.2024.28.226
Donggeun Kim, Sangjin Kim, Juyong Ko, Jai Woo Lee; “A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving” The Korea Journal of BigData, 2023, vol.8, no.1, pp. 35-47. DOI: 10.36498/kbigdt.2023.8.1.35
Ko, Juyong (MS 2026; Korea Green Data, Inc.)
Thesis: AI-Driven High-Dimensional Data Analysis for Planetary Solutions and Development of Data Analysis Software
Publications:
Sangjin Kim, Donggeun Kim, Juyong Ko, Xin Zan, Kin Lok Wong, Yujing Mao, Lakhwinder Kaur, Hyeonjun Nam, and Jai Woo Lee, Transforming cutting-edge healthcare: Emerging trends in metabolomics and drug design using artificial intelligence and big data methodologies. DIGITAL HEALTH. 2026;12. doi:10.1177/20552076261458965
Juyong Ko, Juwon Kim, Dongha Kim, Hyeonjun Nam, and Jai Woo Lee. 2025. Applications of Data-Driven Approaches Using Artificial Intelligence Algorithms and Quantum Computing in Sustainability. In Proceedings of the Sixth International Conference on Digital Age & Technological Advances for Sustainable Development (DATA '25). Association for Computing Machinery, New York, NY, USA, 81–86. https://doi.org/10.1145/3747897.3747911
JUYONG KO and JAI WOO LEE. (2024). Applications of Big Data and AI-Driven Technologies in High-Dimensional Data Analysis: Taiwanese Bankruptcy Prediction Using Machine Learning Models with Factor Analysis. Journal of the Korean Society for Industrial and Applied Mathematics, 28(4), 286-302. https://doi.org/10.12941/jksiam.2024.28.286
Donggeun Kim, Sangjin Kim, Juyong Ko, Jai Woo Lee; “A Big Data-Driven Business Data Analysis System: Applications of Artificial Intelligence Techniques in Problem Solving” The Korea Journal of BigData, 2023, vol.8, no.1, pp. 35-47. DOI: 10.36498/kbigdt.2023.8.1.35
Nam, Hyeonjun (2026)
Kim, Dongha (2026)
Kim, Juwon (2026)
Kim, Seung Woo (2026)
Sun, Minho (2026)
Ko, Juyong (2025)
Choi, Donghyeok (2024)
Kim, Sangjin (2024)
Kim, Donggeun (2024)