Personal profile
Education
B.S. Chemistry, GIST (2011-2016)
Ph.D. Environmental Engineering, GIST (2016-2020)
Ph.D. Environmental Engineering, GIST (2016-2020)
Professional Experience
Post-Doc. International Environmental Research Institute, GIST (2020-2021)
Post-Doc. Center for Water Cycle Research, KIST (2020-2021)
Post-Doc. Center for Water Cycle Research, KIST (2020-2021)
Research Interests
Environmental Data Science
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Dive into the research topics where Sung Ho Chae is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Boron nitride nanomaterials for inorganic pollutant removal: Fabrication, adsorption performance, and mechanisms
Na, H. S., Mok, J., Choi, W., Kim, S. H., Moon, S., Chae, S. H., Rho, H., Nam, S. N., Yoon, Y. & Jun, B. M., 15 Feb 2026, In: Desalination. 620, 119633.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Exploring decisive operating factors for micropollutants fate in ultraviolet-based advanced oxidation processes using the integrated clustering-classification model
Ejerssa, W. W., Seid, M. G., Moon, B. C., Son, M., Chae, S. H. & Hong, S. W., 7 Feb 2026, In: Separation and Purification Technology. 380, 135277.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models
Choi, B., Han, E. J., Lee, K. J., Son, M., Hong, S. W., Lee, S. & Chae, S. H., Apr 2025, In: Journal of Environmental Management. 380, 125191.Research output: Contribution to journal › Article › peer-review
6 Scopus citations -
Remediation of acidic effluents from Uranium-Contaminated soil using coffee Residue Biochar: A Combined experimental and Machine learning approach
Jun, B. M., Chae, S. H., Kim, D., Son, C., Kim, T. J., Hong, S. W., Yoon, Y., Chon, K. & Rho, H., 27 Aug 2025, In: Separation and Purification Technology. 366, 132844.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Robust deep learning model combined with missing input data estimation: Application in a 1000 m3/day high-salinity SWRO plant
Moon, J., Jeong, K., Chae, S. H., Shim, J., Kim, J., Cho, K. H. & Park, K., 15 May 2025, In: Desalination. 603, 118678.Research output: Contribution to journal › Article › peer-review
5 Scopus citations