Research Interests of WEE Lab
  • Water treatment
  • Environmental AI
  • Energy harvesting
Water treatment 
Desalination
  1. Seawater desalination based on membrane filtration (RO, NF, etc.) 
  2. Developing a low-energy desalination system (SWB-NF hybrid process) 
Electrochemical
water treatment
  1. Developing a system for seawater desalination and water purification using SWB/(M)CDI
  2. Developing an ion-selective water treatment process for resource recovery
Fouling characterization
  1. Characterizing the effect of NOMs on the water treatment systems
  2. Investigating membrane fouling driven by natural organic matter (NOM) & algae

Environmental AI
Prediction by AI
  1. Time-series prediction of the performance of water treatment systems using deep learning and numerical models
  2. Predicting water quality parameters (i.e., oxidant exposures and micropollutant abatement in water)
Optimization by AI
  1. Artificial intelligence-based system optimization for low energy operation
  2. Optimizing operating conditions of water treatment system for minimum energy consumption
Automation by AI
  1. Automation of electrochemical water treatment system by reinforcement learning
  2. Automation of drinking water treatment system by deep learning

Energy harvesting
Seawater energy
  1. Energy harvesting and storage using seawater battery (converting sodium ions to metallic form in battery)
  2. High-density energy storage using hypersaline ​​water 
​Salinity energy
  1. Transpiration driven electrokinetic power generator (TEPG) (T.B.A)
  2. Salinity gradient energy generation (T.B.A.)
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공사중
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