pROFILE
Jaeyoung Kim (김 재영, 金 才榮)
Research Fields [Environmental Engineering]
Research of surface water quality: Eutrophication and harmful algal blooms
Research of watershed management: Nonpoint source pollution and soil erosion
Research of climate change impact and adaptation
Research of data augmentation: Machine learning and deep learning
Research of microplastics in an urban area
Career
Visiting Research Fellow at Korea Environment Institute (2024.02. ~ Now)
Post-Doctoral Fellow at Chungnam national university (2022.03. ~ 2024.02.)
Lecturer in the Department of Environmental Engineering at Chungnam national university (2022.03. ~ 2024.02.)
Water quality modeling; Water quality management engineering and Design; Data analysis and programming; Field application of smart water management
Degree
Ph.D., 2022, Environmental Engineering of Chungnam national university (GPA: 4.375/4.5; Period: 2017.03. ~ 2022.02.)
Dissertation: Dynamics of water quality and harmful algal blooms in a eutrophic river with regulated hydrology
M.S., 2017, Environmental Engineering of Chungnam national university (GPA: 4.375/4.5; Period: 2015.03. ~ 2017.02.)
Thesis: Prediction of water quality and algal blooms using EFDC in the Han River
B.E., 2015, Environmental Engineering of Chungnam national university (GPA: 4.082/4.5; Period: 2011.03. ~ 2015.02.)
Professional License
Engineer Water Pollution Environmental (2014)
Ministry of Environment, Republic of Korea
Award
KWRA Research Paper Award, 2023 (The Korea Water Resources Association)
Best Research Award, 2022 (Chungnam national university)
Best Grade Award for 2015 Class of Environmental Engineering, 2015 (Chungnam national university)
Core Skill and Technique
1. Modeling
Surface water quality modeling
Environmental Fluid Dynamics Code (EFDC); Aquatic Ecosystem Model 3D (AEM3D); Qual2K (Q2K)
Watershed modeling
Soil & Water Assessment Tool (SWAT); Hydrological Simulation Program - FORTRAN (HSPF); Stormwater Management Model (SWMM)
Development of water quality model
Basin Nonpoint Source Load Pollutant Load Model (BANPOL)
2. Machine Learning and Deep Learning
Python; MATLAB; R
3. Others
Field survey for surface water and stormwater
Water quality analysis using analytic equipment