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DavidChoi76/README.md

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 🤔

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

  1. 🌱 Long-Term Water Demand Forecasting

  2. 👯 Satellite Rainfall Distribution using Machine Learning

  3. 🔭 Urban Inundation Forecasting using Machine Learning as Surrogate Model

  4. 🌱 Application of NeRF and 3DGS in Water Infrastructures

  5. 👯 Drought Quantification using Social data such as Newspapers

Study for Deeper Understanding. 🤓 Focusing 🤔

  1. Differentiable Modeling

Study HydroMT. 🤓 Focusing 🤔

  1. hydromt: https://github.com/DavidChoi76/hydromt
  2. hydromt_wflow: https://github.com/DavidChoi76/hydromt_wflow
  3. hydromt_delwaq: https://github.com/DavidChoi76/hydromt_delwaq
  4. hydromt_sfincs: https://github.com/DavidChoi76/hydromt_sfincs
  5. hydromt_fiat: https://github.com/DavidChoi76/hydromt_fiat
  6. hydromt_delft3dfm: https://github.com/DavidChoi76/hydromt_delft3dfm

Pinned

  1. HydroLSTM HydroLSTM Public

    Forked from uihilab/HydroLSTM

    LSTM Data and Model for Streamflow Forecasting

    Jupyter Notebook

  2. lstm-data-assimilation lstm-data-assimilation Public

    Forked from grey-nearing/lstm-data-assimilation

    Jupyter Notebook

  3. mts-lstm mts-lstm Public

    Forked from kratzert/mts-lstm

    Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network

    Jupyter Notebook

  4. neuralhydrology neuralhydrology Public

    Forked from neuralhydrology/neuralhydrology

    Python library to train neural networks with a strong focus on hydrological applications.

    Python 1

  5. dMC-Juniata-hydroDL2 dMC-Juniata-hydroDL2 Public

    Forked from mhpi/dMC-Juniata-hydroDL2

    A novel differentiable modeling framework to perform routing and to learn a “parameterization scheme” (a systematic way of inferring parameters from more rudimentary information) for routing flows …

    Python

  6. hydroDL hydroDL Public

    Forked from mhpi/hydroDL

    Python