Water Science and Engineering > Research Areas > Research > School of Environment and Energy Engineering

Water Science and Engineering

Water Science & Engineering

Research on securing water resources through nanotechnology and physicochemical water treatment, integrated water resource management, conversion of water pollutants using microorganisms, and membrane-based seawater desalination

Enviromental Nanotechnology Laboratory

Prof. Heechul Choi

Research Fields

Development of functional polymeric separation membrane for environmental issue
Development of functionalized nanofiber membrane for oil/water separation
Development of high-efficiency nanofiber membrane composite to remove substance causing ultra-fine dust in white smoke
Development of thermal insulating functional nanofibrous foam for energy efficiency
Development of next-generation nanofiber filters for water and air purification

Hydro AI Laboratory

Prof. Hyunglok Kim

Research Fields

Climate change and human activities are increasing uncertainties in water resource management and natural disaster predictions. At our Hydro AI Lab, we use remote sensing, land surface models, and AI/machine learning to investigate the complex interactions between land surfaces and the atmosphere in response to climate change. Our goal is to improve the precision of natural disaster predictions and water resource management. We achieve this through the generation of new remote sensing datasets and algorithms, enhancement of surface models, and utilization of high-performance computing for global-scale land surface modeling.
Machine Learning (Shallow Machine Learning, Deep Learning, Bayesian Machine Learning)
Satellite Remote Sensing (Microwave, GNSS)
Land Surface Models (Parallel Computing with HPC)
Data Assimilation (Ensemble Kalman Filter, Particle Filter)
Global Water Cycle, Water Balance Model (MCMC Sampling Approach)
Land-atmosphere Interaction (Land Information System from NASA)
Impact of Human Activities on Earth System
Uncertainty Analysis (Bayesian Inference, Triple Collocation Analysis)