Seunghui Choi
Seunghui Choi
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Ms. & Ph.D. Student (Integrated Course)
Hydroclimatology Research Group, POSTECH
207, Jigok Research Building, 77, Cheongam-ro, Nam-gu, Pohang-si, Gyeongsangbuk-do
Email: seunghchoi@postech.ac.kr
Research Topics
Social responses to water-related disasters (Droughts and Tropical Cyclones)
AI Modeling for Industrial Air Pollutant Emissions
Hydroclimatology Research Group, POSTECH
Publications
Publications
Choi, S., K.-H. Lee, H. J. Lee, J.-H. Park, P.-G. Kang, and J. Kam, 2026, Explainable AI-based Optimization of Facility Operations for Excessive NOx Emission Control: A Case Study of a Solid Refuse Fuel Combustion Facility, Environ. Technol. Innov., 104875. https://doi.org/10.1016/j.eti.2026.104875
Choi, S., Liu, A., S. Lee, H., Yoon, and J. Kam*, 2025, The Interplay of News Media, Social Media, and Public Search Behavior during the 2022–2023 South Korea Drought, Humanit. Soc. Sci. Commun. (accepted)
Choi, S., Liu, A., S. Lee, H., Yoon, and J. Kam*, 2025, The Interplay of News Media, Social Media, and Public Search Behavior during the 2022–2023 South Korea Drought, Humanit. Soc. Sci. Commun. (accepted)
Choi, S., K.-H. Lee, J.-H. Park, S. Jeon, H. J. Lee, P.-G. Kang*, J. Kam*, 2024, Reliable AI models can reveal key processes of heat recovery steam generator operation in air pollutant emission, J. Clean. Prod., 140806. https://doi.org/10.1016/j.jclepro.2024.140806
Choi, S., K.-H. Lee, J.-H. Park, S. Jeon, H. J. Lee, P.-G. Kang*, J. Kam*, 2024, Reliable AI models can reveal key processes of heat recovery steam generator operation in air pollutant emission, J. Clean. Prod., 140806. https://doi.org/10.1016/j.jclepro.2024.140806
Conferences
Conferences
Choi, S., Kam, J. (2024). Text analysis of news article about historical droughts in Ireland (1737-2019). AGU24.
Kam, J., Choi, S., Liu, A. (2024). Next Generation Drought Monitoring: Forecasting to Emotion-Focused Coping (No. EGU24-16043). Copernicus Meetings.
Choi, S., Liu, A., and Kam, J. (2024). Human sensors of the ongoing drought from news and social media: A case study of the 2022/23 South Korea drought (HS09-A004). Asia Oceania Geosciences Society.
Choi, S., Kam, J., & Lee, K. (2023). Data-driven Versus Expertise-based AI Prediction of Industrial Air Pollutants (No. EGU23-10647). Copernicus Meetings.
Patent
Patent
Kang, P., Park, J., Kim, T., Seo, J. Jeon, T., Byeon, S., Kam, J., Min, S., Lee. K., & Choi, S. (2023) 오염물질 배출 수준 산정 시스템 및 방법 (Pollutant Emission Concentration Prediction System and Method). 10-2023-0021417. Rep. of Korea.
Awards, Scholarship, and Honors
Awards, Scholarship, and Honors
08/2025-Present Visiting researcher, Air, Water and Landscape Science, Department of Earth Sciences, Uppsala University.
Host: Giuliano Di Baldassarre
Funded by the Long-term Mobility Programme, SKERIC. (Grant: 270,000 SEK)
2024-Present Future Laureates Societal Challenges Programme. Dynamic, secure, and sustainable society. https://www.skeric.org/
Outstanding Presentation Award (Oral), The 2024 Korean Water Resources Association Conference
Education
Education
02/2022-Present Ms & Ph.D Course in Environmental Science and Engineering, POSTECH, Republic of Korea (Passed the Q.E. in 09/2023)
Completed Environment-AI Course
02/2022 B.S. in Mathematics and B.S.E. in Computer Science, Kyungpook National University, Republic of Korea
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