Project Investigator (지도 교수)
Sangchul Lee
Associate Professor (부교수)
Division of Environmental Science & Ecological Engineering, Korea University
(고려대학교 환경생태공학부)
slee2024@korea.ac.kr
+82 - 2 - 3290 - 3014
Education
Ph.D. Geographical Sciences, University of Maryland, College Park
(2011 - 2017)
M.S. Environmental Science & Ecological Engineering, Korea University
(2009 - 2011)
B.S. Environmental Science & Ecological Engineering, Korea University
(2003 - 2007)
Appointments
Assistant Professor, Division of Environmental Science & Ecological Engineering, Korea University (2024-2025)
Assistant Professor, Department of Environmental Engineering, University of Seoul (2020 - 2024)
Visiting Scientist, Hydrology and Remote Sensing, USDA-ARS
(2017 - 2020)
Visiting Student, Hydrology and Remote Sensing, USDA-ARS
(2013 - 2017)
First Lieutenant, Republic of Korean Marine Corps
(2007 - 2009)
Full-time Graduate Students
Ph.D. course student (2022.03~)
E-mail: hmjeong@korea.ac.kr
Research interest:
Water quality monitoring and management
Application of machine learning tools to hindcast water quality variability
이병원 (Byeongwon Lee)
Ph.D. course student (2024.09~)
E-mail: 2_hospital@korea.ac.kr
Research interest:
Development of multiprocessing tools for bigdata analysis
Remotely sensed data analysis using machine learning
이영훈 (Younghun Lee)
Ph.D. course student (2024.09~)
E-mail: manu131@korea.ac.kr
Research interest:
Soil matter analysis using machine learning models
Groundwater contamination analysis
이윤노 (Yoonnoh Lee)
Ph.D. course student (2025.09~)
E-mail: yynyyn20@korea.ac.kr
Research interest:
Improving watershed modeling by integrating deep learning and bigdata
Urban flooding prediction under climate change
김민창 (Minchang Kim)
Ph.D. course student (2026.03~)
E-mail: changx02@korea.ac.kr
Research interest:
Coupling a hydrodynamic model with deep learning for water quality simulations
Spatiotemporal data analysis and prediction
한승호 (Seungho Han)
MS course student (2025.09~)
E-mail: nuclear432@korea.ac.kr
Research interest:
Predicting ecosystem organism populations using environmental data and deep learning models.
Developing a predictive model for chironomide density under climate change.
정세운 (Seun Jeong)
BS/MS course student (2026.03~)
E-mail: jsw1216@korea.ac.kr
Research interest:
Development of early warning systems for ecosystem risk assessment
Water quality analysis and prediction using deep learning combined with physical information
정민하 (Minha Jeong)
MS course student (2026.03~)
E-mail: minhajeong@korea.ac.kr
Research interest:
Machine learning for environmental and climate data
Computer vision–based modeling of Earth and environmental systems.
윤예진 (Yejin Yoon)
MS course student (2026.03~)
Research interest:
Groundwater quality and contamination modeling.
Modeling and analysis of subsurface environmental systems.
Undergraduate Students (학부인턴)
(2026.01-)
(2026.01-)
(2024.09-2026.02)
(2026.01-2026.02)
(2026.01-2026.02)
(2025.10-2025.12)
(2025.08-2025.12)
(2025.01)
(2024.09-2024.12)
Researcher (연구원)
(2025.12-)