MOON SON

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Assistant Professor

Korea University of Science and Technology

South Korea

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About

Dr. Moon Son is an Assistant Professor at the University of Science and Technology in Korea. His research focuses on advanced water quality management, electrochemical desalination processes, and the application of machine learning techniques in environmental technology. Recent publications include studies on reinforcement learning controllers for water quality enhancement and the development of ultrathin membranes for water purification.

Recent Grants

Grant: Close

Optimization of Electrochemical Cells using Deep Learning for Water Treatment and Renewable Energy Production

Open Date: 2021-03-01

Close Date: 2026-02-01

Articles (15)

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2025

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (4)

Euntae Yang

Professor

Gyeongsang National University - Tongyeong Campus

SOUTH KOREA

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Heechul Choi

Professor

Gwangju Institute of Science and Technology

SOUTH KOREA

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Abayomi Babatunde Alayande

Korea University

SOUTH KOREA

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RUGGERO ROSSI

Assistant Professor

Johns Hopkins University

UNITED STATES

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MOON SON

Research Interests

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About

Recent Grants

Articles (15)

Autonomous water quality management in an electrochemical desalination process

Reinforcement Learning and Machine Learning Controllers for Enhancing Water Quality and Process Efficiency in Electrochemical Desalination

Autonomous real-time control for membrane capacitive deionization

Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model

Energy storage capability of seawater batteries for intermittent power generation systems: Conceptualization and modeling

Robust and fouling-resistant ultrathin membranes for water purification tailored via semi-dissolved electrospun nanofibers

Clustering micropollutants and estimating rate constants of sorption and biodegradation using machine learning approaches

Automation of membrane capacitive deionization process using reinforcement learning

Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions

Electrically Polarized Graphene-Blended Spacers for Organic Fouling Reduction in Forward Osmosis

Pharmaceutical removal at low energy consumption using membrane capacitive deionization

Metal-Ion Depletion Impacts the Stability and Performance of Battery Electrode Deionization over Multiple Cycles

Boron Nitride Nanotube (BNNT) Membranes for Energy and Environmental Applications

A New era of water treatment technologies: 3D printing for membranes

Recent Progress in One- and Two-Dimensional Nanomaterial-Based Electro-Responsive Membranes: Versatile and Smart Applications from Fouling Mitigation to Tuning Mass Transport

Collaborators (4)

Euntae Yang

Heechul Choi

Abayomi Babatunde Alayande

RUGGERO ROSSI

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