Interdisciplinary Water Resources research Laboratory (IWRL)
in the School of Civil and Environmental Engineering, Kookmin University
Interdisciplinary Water Resources research Laboratory (IWRL)
in the School of Civil and Environmental Engineering, Kookmin University
Graduate student positions are currently open. For international applicants, only Ph.D. candidates will be considered. For more detailed information, please contact jshin@kookmin.ac.kr.
2025.12 Hoang Thi An's first paper is published in IJOC
"Recent Spatiotemporal Trends in Extreme Rainfall Events in South Korea: From Sub-Hourly to Multi-Day Scales" has been published in IJOC. The study presents current changes in extreme rainfall of South Korea. Magnitute of the extreme rainfall events in South Korea have increased and the spatial pattern of extreme rainfall changed to increase frequency and magnitude of local rainfall storm. (https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.70226)
2025.12 남정빈, 오유민, 성민주 학부연구생 KSCE 2025 컨벤션 캡스톤디자인 경진대회 금상(2등) 수상
(KSCE 2025 Convention Capstone Design Competition The gold prize (second place))
우리연구실 학부연구생인 남정빈, 오유민, 성민주 학생이 포함되어 있는 팀이 KSCE 2025 컨벤션 캡스톤디자인 경진대회 금상(2등)을 수상(Website)
2025.12 박지연 박사과정 논문 WATER cover paper로 선정
2025.12 이가영 석사과정 학생 2025 대한토목학회 컨벤션 우수논문상 수상
(Lee, Gayoung MSc. Student, Wins Excellent Paper Award at the 2025 KSCE Convention)
이가영 학생은 'Kappa분포형의 적용평 평가'라는 주제로 논문을 발표하였고 2025 대한토목학회컨벤션에서 우수논문상을 수상 (Website)
Our research team is seeking a way to deal with the unsolved and emerging challenges in water-related fields as well as natural disasters using an interdisciplinary approach. We are collaborating hydrology, hydraulics, climatology, meteorology, civil engineering, data sciences, AI, ecology, forestry, agriculture, remote sensing, human factors, physiology, and social sciences for finding a new solution to these challenges. We are trying to find ways to warn the impact of natural disasters such as floods, heavy rainfall, typhoon, gust, heat waves, and cold waves on the public and individuals by collaborating data sciences, hydrology, hydraulics, meteorology, human factors, physiology, and social science. Specifically, real-time monitoring and prediction for flood and heavy rainfall using real-time observation, data assimilation, and AI are the main research topics of our research group. Additionally, we are attempting to suggest a framework of the digital twin in hydraulic infrastructure and water resources management based on AI and virtual reality.