Research output per year
Research output per year
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
Fingerprint
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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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
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Temporal fusion transformer model for predicting differential pressure in reverse osmosis process
Lee, S., Shim, J., Lee, J., Chae, S. H., Lee, C. & Cho, K. H., Feb 2025, In: Journal of Water Process Engineering. 70, 106914.Research output: Contribution to journal › Article › peer-review
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Adsorption of uranyl ion on hexagonal boron nitride for remediation of real U-contaminated soil and its interpretation using random forest
Jun, B. M., Chae, S. H., Kim, D., Jung, J. Y., Kim, T. J., Nam, S. N., Yoon, Y., Park, C. & Rho, H., 5 May 2024, In: Journal of Hazardous Materials. 469, 134072.Research output: Contribution to journal › Article › peer-review
10 Scopus citations -
Autonomous real-time control for membrane capacitive deionization
Shim, J., Lee, S., Yun, N., Son, M., Chae, S. H. & Cho, K. H., 15 Sep 2024, In: Water Research. 262, 122086.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Determining water and solute permeability of reverse osmosis membrane using a data-driven machine learning pipeline
Chae, S. H., Hong, S. W., Son, M. & Cho, K. H., Jul 2024, In: Journal of Water Process Engineering. 64, 105634.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations