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Cho, Kyung Hwa (조경화)

Department: Department of Urban and Environmental Engineering(도시환경공학과)

Website: http://firstkh.wixsite.com/ueeem2

Lab: Water-Environmental Informatics Lab. (물환경정보학 연구실)

Research Keywords: 환경 모니터링, 환경 모델링, Water Quality Monitoring, Water Quality Modeling

Research Interests: Our Water Environment Informatics Lab has been conducting research on various topics such as remote water quality monitoring, data-based modeling, and low energy water treatment systems. We have been pioneering new research areas by combining in-depth considerations on water environment systems and various information processing technologies. In particular, by actively introducing artificial intelligence-related technologies to environmental issues, we have been conducting various analysis and prediction studies that have not been attempted before. Recent research topics are as follows.1. Water quality monitoring using hyperspectral sensors mounted on drones/aircrafts2. Development and optimization of a low-energy seawater desalination system using seawater batteries3. Water quality prediction and water treatment process optimization using deep learning techniques

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Issue Date	Title	Author(s)	Type	View	Altmetrics
2022-02	When river water meets seawater: Insights into primary marine aerosol production	Park, Jiyeon; Jang, Jiyi; Yoon, Young Jun, et al	ARTICLE	71	When river water meets seawater: Insights into primary marine aerosol production
2022-02	Analysis of micropollutants in a marine outfall using network analysis and decision tree	Baek, Sang-Soo; Yun, Daeun; Pyo, JongCheol, et al	ARTICLE	10	Analysis of micropollutants in a marine outfall using network analysis and decision tree
2021-12	Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant	Jeong, Kwanho; Son, Moon; Yoon, Nakyung, et al	ARTICLE	101	Modeling and evaluating performance of full-scale reverse osmosis system in industrial water treatment plant
2021-12	Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method	Kim, Jin Hwi; Shin, Jae-Ki; Lee, Hankyu, et al	ARTICLE	10	Improving the performance of machine learning models for early warning of harmful algal blooms using an adaptive synthetic sampling method
2021-12	In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models	Abbas, Ather; Baek, Sangsoo; Silvera, Norbert, et al	ARTICLE	14	In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models
2021-11	Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models	Hong, Seok Min; Baek,Sang-Soo; Yun, Daeun, et al	ARTICLE	83	Monitoring the vertical distribution of HABs using hyperspectral imagery and deep learning models
2021-11	Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea	Ly, Quang Viet; Nguyen, Xuan Cuong; Lê, Ngoc C., et al	ARTICLE	70	Application of Machine Learning for eutrophication analysis and algal bloom prediction in an urban river: A 10-year study of the Han River, South Korea
2021-11	Deep learning for pH prediction in water desalination using membrane capacitive deionization	Son, Moon; Yoon, Nakyung; Jeong, Kwanho, et al	ARTICLE	80	Deep learning for pH prediction in water desalination using membrane capacitive deionization
2021-10	Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models	Jeong, Kwanho; Abbas, Ather; Shin, Jingyeong, et al	ARTICLE	24	Prediction of biogas production in anaerobic co-digestion of organic wastes using deep learning models
2021-10	Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model	Baek, Sang-Soo; Pyo, JongCheol; Kwon, Yong Sung, et al	ARTICLE	35	Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model
2021-09	Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant	Yoon, Nakyung; Kim, Jihye; Lim, Jae-Lim, et al	ARTICLE	75	Dual-stage attention-based LSTM for simulating performance of brackish water treatment plant
2021-09	Simultaneous Energy Storage and Seawater Desalination using Rechargeable Seawater Battery: Feasibility and Future Directions	Son, Moon; Park, Sanghun; Kim, Namhyeok, et al	ARTICLE	87	Simultaneous Energy Storage and Seawater Desalination using Rechargeable Seawater Battery: Feasibility and Future Directions
2021-09	Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage	Pyo, JongCheol; Cho, Kyung Hwa; Kim, Kyunghyun, et al	ARTICLE	55	Cyanobacteria cell prediction using interpretable deep learning model with observed, numerical, and sensing data assemblage
2021-09	Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models	Pyo, JongCheol; Kwon, Yong Sung; Min, Joong-Hyuk, et al	ARTICLE	65	Effect of hyperspectral image-based initial conditions on improving short-term algal simulation of hydrodynamic and water quality models
2021-08	Pharmaceutical removal at low energy consumption using membrane capacitive deionization	Son, Moon; Jeong, Kwanho; Yoon, Nakyung, et al	ARTICLE	67	Pharmaceutical removal at low energy consumption using membrane capacitive deionization
2021-08	Changes in adsorption mechanisms of radioactive barium, cobalt, and strontium ions using spent coffee waste biochars via alkaline chemical activation: Enrichment effects of O-containing functional groups	Shin, Jaegwan; Kwak, Jinwoo; Lee, Yong-Gu, et al	ARTICLE	53	Changes in adsorption mechanisms of radioactive barium, cobalt, and strontium ions using spent coffee waste biochars via alkaline chemical activation: Enrichment effects of O-containing functional groups
2021-07	Developing a cloud-based toolbox for sensitivity analysis of a water quality model	Kim, Soobin; Kwon, Yong Sung; Pyo, JongCheol, et al	ARTICLE	93	Developing a cloud-based toolbox for sensitivity analysis of a water quality model
2021-07	Evaluating an on-line cleaning agent for mitigating organic fouling in a reverse osmosis membrane	Park, Sanghun; Hong, Seok Min; Park, Jongkwan, et al	ARTICLE	76	Evaluating an on-line cleaning agent for mitigating organic fouling in a reverse osmosis membrane
2021-06	Investigating the influence of catholyte salinity on seawater battery desalination	Park, Sanghun; Ligaray, Mayzonee; Kim, Youngsik, et al	ARTICLE	162	Investigating the influence of catholyte salinity on seawater battery desalination
2021-06	Deep learning model for simulating influence of natural organic matter in nanofiltration	Shim, Jaegyu; Park, Sanghun; Cho, Kyung Hwa	ARTICLE	90	Deep learning model for simulating influence of natural organic matter in nanofiltration

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