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Eunsu Park

Postdoctoral Researcher

Pages

Education

Ph.D in Solar Physics/Space Weather

Kyung Hee University
School of Space Research
2016.03 - 2020.02

MSc in Solar Physics/Space Weather

Kyung Hee University
School of Space Research
2014.03 - 2016.02

BSc in Astronomy and Space Science

Kyung Hee University
Department of Astronomy and Space Science
2008.03 - 2014.02

Languages

  • Korean (Native)
  • English (Intermediate)
  • Japanese (Beginner)
  • Spanish (Beginner)

Interests

  • Artificial Intelligence
  • Solar Physics
  • Space Weather

Publications

Full list of publications. See also: ORCID Profile

32. 2026 A new deep-learning approach to infer solar and geomagnetic parameters for the 1859 Carrington event
H. Lee, D. Lim, Eunsu Park, Y.-J. Moon, and H. Hayakawa Journal of Space Weather and Space Climate, 16, 11
31. 2026 Deep Learning-Based Prediction of Tool Influence Function for Nanometric Control in Space Optical Material
S. H. Han, J.-Y. Han, J. Lee, Eunsu Park, and S. Choi Journal of Astronomy and Space Sciences, 43, 21
30. 2025 Artificial-intelligence-based Reconstruction of Solar Farside Vector Magnetograms from Multispacecraft Extreme-ultraviolet Data
H.-J. Jeong, Eunsu Park, H. Lee, J. Youn, M. Jeon, Y.-J. Moon, S. Poedts, F. Carella, H. Wang, D. Kim, Y. Kim, and J. Kang The Astrophysical Journal Supplement Series
29. 2025 Can we properly determine differential emission measures from Solar Orbiter/EUI/FSI with deep learning?
J. Youn, H. Lee, H.-J. Jeong, J.-Y. Lee, Eunsu Park, and Y.-J. Moon Astronomy & Astrophysics
28. 2024 Scientific Perspectives of the Heliophysics L4 Mission by Remote-Sensing Observation
Y.-J. Moon, K.-S. Cho, S.-H. Park, E.-K. Lim, R. Kim, D. Song, J. Park, Eunsu Park, H. Lee, H.-J. Jeong, J. Kang, J. Park, K. Yi, I.-H. Cho, and H. Na Journal of The Korean Astronomical Society, 57, 35
27. 2023 Automatic Detection of Type II Solar Radio Burst by Using 1-D Convolution Neutral Network
K.-S. Cho, J. Kim, R.-S. Kim, Eunsu Park, Y. Kubo, and K. Iwai Journal of The Korean Astronomical Society, 56, 213
26. 2023 Fast Reconstruction of 3D Density Distribution around the Sun Based on the MAS by Deep Learning
S. Rahman, S. Shin, H.-J. Jeong, A. Siddique, Y.-J. Moon, Eunsu Park, J. Kang, and S.-H. Bae The Astrophysical Journal
25. 2023 Pixel-to-pixel Translation of Solar Extreme-ultraviolet Images for DEMs by Fully Connected Networks
Eunsu Park, H. Lee, Y.-J. Moon, J.-Y. Lee, I.-H. Cho, K.-S. Lee, D. Lim, H.-J. Jeong, and J.-O. Lee The Astrophysical Journal Supplement Series, 264, 33
24. 2022 Deep Learning–based Fast Spectral Inversion of Hα and Ca ii 8542 Line Spectra
K.-S. Lee, J. Chae, Eunsu Park, Y.-J. Moon, H. Kwak, and K. Cho The Astrophysical Journal
23. 2022 Generation of Solar Coronal White-light Images from SDO/AIA EUV Images by Deep Learning
B. Lawrance, H. Lee, Eunsu Park, I.-H. Cho, Y.-J. Moon, J.-Y. Lee, A. Shanmugaraju, and S. Rahman The Astrophysical Journal
22. 2022 Improved AI-generated Solar Farside Magnetograms by STEREO and SDO Data Sets and Their Release
H.-J. Jeong, Y.-J. Moon, Eunsu Park, H. Lee, and J.-H. Baek The Astrophysical Journal Supplement Series
21. 2022 Inference of magnetic field during the Dalton minimum: Case study with recorded sunspot areas
S. Uneme, S. Imada, H. Lee, Eunsu Park, H. Hayakawa, T. Iju, and Y.-J. Moon Publications of the Astronomical Society of Japan
20. 2022 Application of Deep Learning to Solar and Space Weather Data
Y.-J. Moon, H. Lee, J. Son, S.-K. Sung, K. Yi, H.-J. Jeong, Eunsu Park, E.-Y. Ji, I.-H. Cho, B. Lawrance, D. Lim, G. Shin, S. Lee, S. Rahman, and T. Kim Proceedings of the International Astronomical Union
19. 2021 Generation of He i 1083 nm Images from SDO AIA Images by Deep Learning
J. Son, J. Cha, Y.-J. Moon, H. Lee, Eunsu Park, G. Shin, and H.-J. Jeong The Astrophysical Journal
18. 2021 Selection of Three (Extreme)Ultraviolet Channels for Solar Satellite Missions by Deep Learning
D. Lim, Y.-J. Moon, Eunsu Park, and J.-Y. Lee The Astrophysical Journal Letters
17. 2021 Visual Explanation of a Deep Learning Solar Flare Forecast Model and Its Relationship to Physical Parameters
K. Yi, Y.-J. Moon, D. Lim, Eunsu Park, and H. Lee The Astrophysical Journal
16. 2021 Reply to: Reliability of AI-generated magnetograms from only EUV images
Eunsu Park, H.-J. Jeong, H. Lee, T. Kim, and Y.-J. Moon Nature Astronomy, 5, 111
15. 2021 Generation of Modern Satellite Data from Galileo Sunspot Drawings in 1612 by Deep Learning
H. Lee, Eunsu Park, and Y.-J. Moon The Astrophysical Journal
14. 2021 One‐Day Forecasting of Global TEC Using a Novel Deep Learning Model
S. Lee, E.-Y. Ji, Y.-J. Moon, and Eunsu Park Space Weather
13. 2020 Solar Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Farside
H.-J. Jeong, Y.-J. Moon, Eunsu Park, and H. Lee The Astrophysical Journal Letters
12. 2020 Super-resolution of SDO/HMI Magnetograms Using Novel Deep Learning Methods
S. Rahman, Y.-J. Moon, Eunsu Park, A. Siddique, I.-H. Cho, and D. Lim The Astrophysical Journal Letters
11. 2020 Generation of High-resolution Solar Pseudo-magnetograms from Ca ii K Images by Deep Learning
G. Shin, Y.-J. Moon, Eunsu Park, H.-J. Jeong, H. Lee, and S.-H. Bae The Astrophysical Journal Letters
10. 2020 Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks
E.-Y. Ji, Y.-J. Moon, and Eunsu Park Space Weather
9. 2020 De-noising SDO/HMI Solar Magnetograms by Image Translation Method Based on Deep Learning
Eunsu Park, Y.-J. Moon, D. Lim, and H. Lee The Astrophysical Journal Letters, 891, L4
8. 2019 Ensemble Forecasting of Major Solar Flares with Short-, Mid-, and Long-term Active Region Properties
D. Lim, Y.-J. Moon, Eunsu Park, J. Park, K. Lee, J.-Y. Lee, and S. Jang The Astrophysical Journal
7. 2019 Generation of Solar UV and EUV Images from SDO/HMI Magnetograms by Deep Learning
Eunsu Park, Y.-J. Moon, J.-Y. Lee, R.-S. Kim, H. Lee, D. Lee, G. Shin, and T. Kim The Astrophysical Journal Letters, 884, L23
6. 2019 Nighttime Reflectance Generation in the Visible Band of Satellites
K. Kim, J.-H. Kim, Y.-J. Moon, Eunsu Park, G. Shin, T. Kim, Y. Kim, and S. Hong Remote Sensing
5. 2019 Forecast of Daily Major Flare Probability Using Relationships Between Vector Magnetic Properties and Flaring Rates
D. Lim, Y.-J. Moon, J. Park, Eunsu Park, K. Lee, J.-Y. Lee, and S. Jang Journal of The Korean Astronomical Society, 52, 133
4. 2019 Solar farside magnetograms from deep learning analysis of STEREO/EUVI data
T. Kim, Eunsu Park, H. Lee, Y.-J. Moon, S.-H. Bae, D. Lim, S. Jang, L. Kim, I.-H. Cho, M. Choi, and K.-S. Cho Nature Astronomy, 3, 397
3. 2018 Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms
Eunsu Park, Y.-J. Moon, S. Shin, K. Yi, D. Lim, H. Lee, and G. Shin The Astrophysical Journal, 869, 91
2. 2018 Three-dimensional Oscillations of 21 Halo Coronal Mass Ejections Using Multi-spacecraft Data
H. Lee, Y.-J. Moon, V. Nakariakov, H. Na, I.-H. Cho, and Eunsu Park The Astrophysical Journal
1. 2016 Observational test of empirical magnetopause location models using geosynchronous satellite data
Eunsu Park, Y.-J. Moon, and K. Lee Journal of Geophysical Research: Space Physics, 121, 10994-11006