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You-Hyun/README.md

You-Hyun Baek

KMA/NIMS AI Meteorological Research Division

Research Scientist

33, Seohobuk-ro, Seogwipo-si, Jeju-do, 63568, Republic of KOREA

E-mail: [email protected] / [email protected]

Education

  • 2016.03. ~       Ph.D. Candidate
    Graduate School of Interdisciplinary Program in Marine Meteorology, Jeju National University, Republic of Korea

  • 2013.08. ~ 2016.02.  M.Sc.
    Graduate School of Interdisciplinary Program in Marine Meteorology, Jeju National University, Republic of Korea

  • 2007.03. ~ 2013.08.  B.Sc.
    Department of Atmospheric & Environmental Sciences, Gangneung-Wonju National University, Republic of Korea

Work Experiences

  • 2022.03. ~       Research Scientist
    AI Meteorological Research Division, National Institute of Meteorological Sciences, Republic of Korea

  • 2019.01. ~ 2022.02.  Researcher
    Typhoon Research Center, Jeju National University, Republic of Korea

Publications

  1. Jung, H., Baek, Y.-H., Moon, I.-J., Lee, J., and Sohn, E.-H. (2024). Tropical Cyclone Intensity estimation through Convolutional Neural Network Transfer Learning using Two Geostationary Satellite datasets. Frontiers in Earth Science, 11, 1285138. ☞ Link

  2. Kim, S., Choi, J., Choi, Y., Lee, S. Stitayuk, A., Park, M., Jeong, S., Baek, Y.-H., and Choi, J. (2023). Explaninable AI-Based Interface System for Weather Forecasting Model. In International Conference on Human-Computer Interaction, (pp.101-119). ☞ Link

  3. Baek, Y.-H., Moon, I.-J., Im, J., and Lee, J. (2022). A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery. Remote Sensing, 14(2), 426. ☞ Link

  4. Baek, Y.-H., and Moon, I.-J. (2019). The accuracy of satellite-composite GHRSST and model-reanalysis sea surface temperature data at the seas adjacent to the Korean Peninsula. Ocean and Polar Research, 41(4), 213-232. ☞ Link

  5. Baek, Y.-H., and Moon, I.-J. (2019). Estimation of satellite-based upper-ocean temperature profile in the western North Pacific and its application to tropical cyclone intensity predictions. Journal of Coastal Research, 90(SI), 261-266. ☞ Link

Machine Learning Competition

  1. Kim, K.-I., Baek, Y.-H., Kim, D.-H., Moon, I.-J., and Kang, Y.-H. (2021), Numerical Analysis – Development of Power Quality classification model to respond to Power facility failures, Ranked 10 out of 63 teams (top 15.8%), AI Online Contest-National IT Industry Promotion Agency (NIPA) (21 Jun. – 2 Jul. 2021).

Awards

  1. Outstanding Contribution to Work Promotion Award, National Institute of Meteorological Sciences Award for Outstanding Contiribution to Work Promotion, National Institute of Meteorological sciences, 21 Dec. 2023.
  2. Best Student Poster Award, Best Student Poster Award in Physical Oceanography, The Korean Society of Oceanography, 25 Oct. 2018.
  3. Encouragement Award, The 3rd Meteorological Satellite Application Research Contest, National Meteorological Satellite Center (NMSC), 15 Nov. 2017.

Presentations

  1. Ha, J.-H., Baek, Y.-H., and Lee, H. (2024). AI Nowcasting model in Korea Meteorological Administration and its applications for natural disaster management, 12th FG-AI4NDM meeting (13-15 Mar. 2024)
  2. Baek, Y.-H., Lee, H., Lee, J.-R., Won, S., and Kim, S.-H. (2024). Development of a Machine Learning-based Tropical Cyclone Track Prediction Scheme over the western North Pacific, American Meteorological Society (AMS) Annual Meeting (28 Jan. - 1 Feb. 2024)
  3. Kim, B., Baek, Y.-H., Shin, H., Ko, S.-W., Lee, H., Kim, S.-H., Han, C., Kim, S., Choe, M., Park, H.-M., and Shin, K. (2023). Machine Learning Method on Similar Weather Event Retrieval Using Infrared Imagery of SITS Data, American Geophysical Union (AGU) Fall Meeting (11-15 Dec. 2023)
  4. Baek, Y.-H., Lee, H., Lee, J.-R., Won, S., and Kim, S.-H. (2023). Development of a Machine Learning-based Tropical Cyclone Track Prediction Scheme over the western North Pacific, American Geophysical Union (AGU) Fall Meeting (11-15 Dec. 2023)
  5. Jung, H.-Y., Baek, Y.-H., Moon, I.-J., and Kim, D.-H. (2023). Tropical Cyclone Intensity Estimation through CNN Transfer Learning of GK2A and COMS, Spring Meeting of GeoAI Data Society (GAIDAS) (27-29 Jun. 2023).
  6. Baek, Y.-H., Lee, H., Lee, J.-R., and Won, S. (2022). Development of RNN-LSTM-based Tropical Cyclone Track Prediction Scheme over the western North Pacific, Autumn Meeting of GeoAI Data Society (GAIDAS) (16-18 Nov. 2022).
  7. Baek, Y.-H., Lee, H., Lee, J.-R., and Won, S. (2022). Development of RNN-LSTM-based Tropical Cyclone Track Prediction Scheme over the western North Pacific, Autumn Meeting of Korean Meteorological Society (KMS) (19-21 Oct. 2022).
  8. Jung, H.-Y., Moon, I.-J., Baek, Y.-H., Im, J., Lee, J., Park, J.-D. (2022). Estimation of Tropical Cyclone Intensity Based on Deep Learning and Transfer Learning Using Geostationary Satellite Images, Autumn Meeting of Korean Meteorological Society (KMS) (19-21 Oct. 2022).
  9. Jung, H.-Y., Moon, I.-J., Baek, Y.-H., Im, J., Lee, J., Park, J.-D., and Kim, D.-H. (2022). Estimation of Typhoon intensity based on Deep Learning and Transfer Learning Using Geostationary Satellite Images, The 3rd Korea Geoscience Union (KGU) Annual Meeting (17-19 Aug. 2022).
  10. Jung, H.-Y., Moon, I.-J., Baek, Y.-H., Im, J., Lee, J., and Park, J.-D. (2022). Estimation of TCs intensity from GK2A imagery using AI transfer learning technique, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (2-4 Jun. 2022).
  11. Baek, Y.-H., Moon, I.-J., Im, J., and Lee, J. (2021). Development of an integrated model for estimating Tropical Cyclone Intensity and Size based on Deep Learning using Geostationary Satellite Imagery, The Korean Society of Oceanography Conference (4-5 Nov. 2021).
  12. Baek, Y.-H., Moon, I.-J., Im, J., and Lee, J. (2021). Tropical Cyclone size estimation model based on Artificial Intelligence using Geostationary Satellite Imagery, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (13-14 May 2021).
  13. Baek, Y.-H., Moon, I.-J., Kim, D.-H., Ham, Y.-G., and Kim, J.-H. (2020). Application of various Artificial Intelligence techniques for El Nino Prediction, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (22-23 Jul. 2020).
  14. **Baek, Y.-H.****, and Moon, I.-J. (2020). Accuracy of satellite composite and model reanalysis daily SST at the seas adjacent to the Korean Peninsular, The 16th Japan-Korea Joint Seminar on Ocean Sciences (20-21 Jan. 2020).
  15. Baek, Y.-H., and Moon, I.-J. (2019). Accuracy of Satellite Composite and Model Reanalysis Daily SST at the Seas Adjacent to the Korean Peninsular, The Korean Society of Oceanography Conference (31 Oct. – 1 Nov. 2019).
  16. Baek, Y.-H., Moon, I.-J., and Kim, D.-H. (2019). Accuracy of Satellite Composite and Model Reanalysis Daily SST at the Seas Adjacent to the Korean Peninsular, The 2nd Korea Geoscience Union (KGU) Annual Meeting (3-5 Jul. 2019).
  17. Baek, Y.-H., and Moon, I.-J. (2019). Estimation of the satellite-based upper-ocean temperature profile in the western North Pacific for the application to tropical cyclone intensity predictions, International Workshop on Tropical Cyclone-Ocean Interaction in the Northwest Pacific (TCOI) (19-21 Jun. 2019).
  18. Baek, Y.-H., and Moon, I.-J. (2019). An increase of super-typhoon and northward extension of their passages in western-North Pacific, The 20th Pacific-Asian Marginal Seas (PAMS) Meeting (18-22 Mar. 2019).
  19. Baek, Y.-H., Moon, I.-J., Chung, C.-Y., and Mo H.-S. (2018). Method for estimating ocean temperature profile based on satellite products, 14th Pan Ocean Remote Sensing Conference (PORSEC) (4-7 Nov. 2018).
  20. Ko, E.-B., Moon, I.-J., and Baek, Y.-H. (2018). Factors determining the intensity of Tropical Cyclone landfall on the Korean Peninsula: via typhoon-ocean couple numerical model, The Korean Society of Oceanography Conference (25-26 Oct. 2018).
  21. Baek, Y.-H., and Moon, I.-J. (2018). An Increase of Super-Typhoon and Northward Extension of Their Passages in the Western-North Pacific, 15th Annual Meeting Asia Oceania Geosciences Society (AOGS) (3-8 Jun. 2018).
  22. Baek, Y.-H., Moon, I.-J., Chung, C.-Y., and Mo H.-S. (2018). Development of upper-ocean temperature profile calculation algorithm using sea surface height anomaly (SSHA) data, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (24-25 May 2018).
  23. Baek, Y.-H., Moon, I.-J., Chung, C.-Y., Baek, S.-K., and Mo H.-S. (2017). Development of a satellite-based upper ocean temperature profile calculation algorithm in the northwestern Pacific, Autumn Meeting of Korean Meteorological Society (KMS) (25-27 Oct. 2017).
  24. Baek, Y.-H., and Moon, I.-J. (2017). Accuracy of Satellite Composite and Model Reanalysis Daily SST at the Seas Adjacent to the Korean Peninsular, 14th Annual Meeting Asia Oceania Geosciences Society (AOGS) (6-11 Aug. 2017).
  25. Baek, Y.-H., and Moon, I.-J. (2017). Accuracy of Satellite Composite and Model Reanalysis Daily SST at the Seas Adjacent to the Korean Peninsular, The 19th Pacific-Asian Marginal Seas (PAMS) Meeting (12-13 Apr. 2017).
  26. Baek, Y.-H., Moon, I.-J., Chung, C.-Y., Baek, S.-K., and Mo H.-S. (2016). Evaluation of COMS-derived SST via GTS drifting Buoy SSTs, Autumn Meeting of Korean Meteorological Society (KMS) (31 Oct. - 2 Nov. 2016).
  27. Baek, Y.-H., Moon, I.-J., and Kim, D.-H. (2015). Diurnal variations of sea surface temperature around the Korean peninsular, Asian conference on Meteorology (ACM) (26-27 Oct. 2015).
  28. Baek, Y.-H., and Moon, I.-J. (2015). Characteristics of Diurnal variation in Sea Surface Temperature around the Korean Peninsular, Autumn Meeting of Korean Meteorological Society (KMS) (12-14 Oct. 2015).
  29. Baek, Y.-H., and Moon, I.-J. (2015). Characteristics of Diurnal variation in Sea Surface Temperature (SST) around the Korean Peninsular, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (21-23 May 2015).
  30. Lee, S.-Y., Moon, I.-J., and Baek, Y.-H. (2015). Verification of Satellite-derived SST (Level-2) data in the northwestern Pacific, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (21-23 May 2015).
  31. Baek, Y.-H., and Moon, I.-J. (2014). Validations of daily SST grid data around the Korean peninsula, The Korean Association of Ocean Science and Technology Societies (KAOSTS) Joint Conference (22-23 May 2014).
  32. Baek, Y.-H., and Moon, I.-J. (2014). Verification of satellite- and numerical model- derived SST around the Korean Peninsula, Spring Meeting of Korean Meteorological Society (KMS) (8-9 May 2014).

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