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Name: YoungDon Choi

Type: User

Company: K-water

Bio: Principle Researcher in K-water (Korea Water Resources Corporation)

Location: Daejeon, South Korea

Blog: https://github.com/Kwater-AILab

Welcome to My GitHub. 👋

I'm YoungDon Choi, a principal researcher at K-water AI research Lab ( https://github.com/Kwater-AILab) . I have worked at K-water (https://www.kwater.or.kr/eng/about/sub02/kwaterPage.do?s_mid=1099) since 2003 with many experiences such as dam operation, water resources survey and planning, water technology strategy, and water information system. Currently, I'm working at K-water AI research Lab to apply AI in water resources fields.

I did my PhD from 2017 to 2021 at the UVA Hydroinformatics research group (https://uvahydroinformatics.org/team/) in University of Virginia (https://www.virginia.edu/). This is my Dissertation (https://doi.org/10.18130/g9tg-0c69), google scholar(https://scholar.google.com/citations?user=VCyCE5QAAAAJ&hl=en) and Resume(https://github.com/DavidChoi76/profile/blob/main/YD_Choi_17June2022.pdf)

These are my current research. 🤓 Focusing 🤔

🔭 Application of neuralhydrology and other AI technologies for upstream and downstream analysis for dam operation

https://github.com/realtime-dam-operation-using-AI

🌱 Long-Term Water Demand Forecasting
👯 Satellite Rainfall Distribution using Machine Learning
🔭 Urban Inundation Forecasting using Machine Learning as Surrogate Model
🌱 Application of NeRF and 3DGS in Water Infrastructures
👯 Drought Quantification using Social data such as Newspapers

Study for Deeper Understanding. 🤓 Focusing 🤔

Differentiable Modeling

Study HydroMT. 🤓 Focusing 🤔

hydromt: https://github.com/DavidChoi76/hydromt
hydromt_wflow: https://github.com/DavidChoi76/hydromt_wflow
hydromt_delwaq: https://github.com/DavidChoi76/hydromt_delwaq
hydromt_sfincs: https://github.com/DavidChoi76/hydromt_sfincs
hydromt_fiat: https://github.com/DavidChoi76/hydromt_fiat
hydromt_delft3dfm: https://github.com/DavidChoi76/hydromt_delft3dfm

YoungDon Choi's Projects

cnn_lstm_era

Code used in the study "Evaluation and interpretation of convolutional long-short term memory networks for regional hydrological modelling"

competition-winners

The code for the prize winners in DrivenData competitions.

containerizing_all_software_with_docker

course22

cuahsi-stacks

This is a compilation of docker images that follow the SPEC pattern.

cuahsi_data_viz_2022_project

CUAHSI Virutal University 2022: Data Visualization Project

currency_exchange_rates_dashboard

This python tool aims to retrieve currency exchange data by using Fixer API. Parameters for the requests and data display are controlled and implemented by a streamlit dashboard page.