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조경화
Cho, Kyung Hwa(2013-02-12 ~ 2023-09-01)

조경화

Department of Civil, Urban, Earth, and Environmental Engineering(지구환경도시건설공학과)

  • Water-Environmental Informatics Lab.
  • Website
Research Interests
Water Quality Monitoring;Water Quality Modeling;환경 모니터링;환경 모델링
Lab Description
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
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Explainable deep learning model for membrane capacitive deionization operated under fouling conditions File

Yoon, Nakyung , Lee, Suin , Park, Sanghun , Son, Moon , Cho, Kyung Hwa

Article Issue Date2023-09 View25
Machine-learning-based prediction and optimization of emerging contaminants' adsorption capacity on biochar materials File

Jaffari, Zeeshan Haider , Jeong, Heewon , Shin, Jaegwan , Kwak, Jinwoo , Son, Changgil , Lee, Yong-Gu , Kim, Sangwon , Chon, Kangmin , Cho, Kyung Hwa

Article Issue Date2023-06 View26
Ocean-atmosphere interactions: Different organic components across Pacific and Southern Oceans File File

Jang, Jiyi , Park, Jiyeon , Park, Jongkwan , Yoon, Young Jun , Dall'Osto, Manuel , Park, Ki-Tae , Jang, Eunho , Lee, Ji Yi , Cho, Kyung Hwa , Lee, Bang Yong

Article Issue Date2023-06 View21
Characterization of micropollutants in urban stormwater using high-resolution monitoring and machine learning File

Yun, Daeun , Kang, Daeho , Cho, Kyung Hwa , Baek, Sang -Soo , Jeon, Junho

Article Issue Date2023-05 View15
Crystal graph convolution neural networks for fast and accurate prediction of adsorption ability of Nb2CTx towards Pb(ii) and Cd(ii) ions File

Jaffari, Zeeshan Haider , Abbas, Ather , Umer, Muhammed , Kim, Eun-Sik , Cho, Kyung Hwa

Article Issue Date2023-04 View15
Comparison of different machine learning algorithms to estimate liquid level for bioreactor management File File

Yu, Sung Il , Rhee, Chaeyoung , Cho, Kyung Hwa , Shin, Seung Gu

Article Issue Date2023-04 View23
An autopsy study of hollow fiber and multibore ultrafiltration membranes from a pilot-scale ultra high-recovery filtration system for surface water treatment File File

Lee, Yong-Gu , Shin, Jaegwan , Kim, Seung Joon , Cho, Kyung Hwa , Westerhoff, Paul , Rho, Hojung , Chon, Kangmin

Article Issue Date2023-03 View13
The risk assessment of arsenic contamination in the urbanized coastal aquifer of Rayong groundwater basin, Thailand using the machine learning approach File File

Sumdang, Narongpon , Chotpantarat, Srilert , Cho, Kyung Hwa , Thanh, Nguyen Ngoc

Article Issue Date2023-03 View18
Estimation of base and surface flow using deep neural networks and a hydrologic model in two watersheds of the Chesapeake Bay File

Lee, Jiye , Abbas, Ather , McCarty, Gregory W. , Zhang, Xuesong , Lee, Sangchul , Cho, Kyung Hwa

Article Issue Date2023-02 View17
Inland harmful algal blooms (HABs) modeling using internet of things (IoT) system and deep learning File File

Kwon, Do Hyuck , Hong, Seok Min , Abbas, Ather , Pyo, JongCheol , Lee, Hyung-Kun , Baek, Sang-Soo , Cho, Kyung Hwa

Article Issue Date2023-02 View28
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green File

Jaffari, Zeeshan Haider , Abbas, Ather , Lam, Sze-Mun , Park, Sanghun , Chon, Kangmin , Kim, Eun-Sik , Cho, Kyung Hwa

Article Issue Date2023-01 View25
An open-source deep learning model for predicting effluent concentration in capacitive deionization File

Son, Moon , Yoon, Nakyung , Park, Sanghun , Abbas, Ather , Cho, Kyung Hwa

Article Issue Date2023-01 View28
Deep reinforcement learning in an ultrafiltration system: Optimizing operating pressure and chemical cleaning conditions File

Park, Sanghun , Shim, Jaegyu , Yoon, Nakyung , Lee, Sungman , Kwak, Donggeun , Lee, Seungyong , Kim, Young Mo , Son, Moon , Cho, Kyung Hwa

Article Issue Date2022-12 View16
Physically-assisted removal of organic fouling by osmotic backwashing coupled with chemical cleaning File

Park, Sanghun , Son, Moon , Shim, Jaegyu , Jeong, Kwanho , Cho, Kyung Hwa

Article Issue Date2022-12 View20
Automation of membrane capacitive deionization process using reinforcement learning File

Yoon, Nakyung , Park, Sanghun , Son, Moon , Cho, Kyung Hwa

Article Issue Date2022-12 View20
Estimation of cyanobacteria pigments in the main rivers of South Korea using spatial attention convolutional neural network with hyperspectral imagery File File

Hong, Seok Min , Cho, Kyung Hwa , Park, Sanghyun , Kang, Taegu , Kim, Moon Sung , Nam, Gibeom , Pyo, JongCheol

Article Issue Date2022-12 View54
Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir File File

Kim, Jinuk , Jang, Wonjin , Kim, Jin Hwi , Lee, Jiwan , Cho, Kyung Hwa , Lee, Yong-Gu , Chon, Kangmin , Park, Sanghyun , Pyo, JongCheol , Park, Yongeun , et al

Article Issue Date2022-11 View28
Construction of delaminated Ti3C2 MXene/NiFe2O4/V2O5 ternary composites for expeditious pollutant degradation and bactericidal property File

Lam, Sze-Mun , Choong, Man-Kit , Sin, Jin-Chung , Zeng, Honghu , Huang, Liangliang , Hua, Lin , Li, Haixiang , Jaffari, Zeeshan Haider , Cho, Kyung Hwa

Article Issue Date2022-10 View20
Predicting the salt adsorption capacity of different capacitive deionization electrodes using random forest File

Park, Sanghun , Angeles, Anne Therese , Son, Moon , Shim, Jaegyu , Chon, Kangmin , Cho, Kyung Hwa

Article Issue Date2022-09 View20
Exploring potential machine learning application based on big data for prediction of wastewater quality from different full-scale wastewater treatment plants File

Quang Viet Ly , Viet Hung Truong , Ji, Bingxuan , Xuan Cuong Nguyen , Cho, Kyung Hwa , Ngo, Huu Hao , Zhang, Zhenghua

Article Issue Date2022-08 View19
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