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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)

Interests

  • Space Weather
  • Machine Learning (Deep Learning)
  • Solar Physics

Publications

Full list of publications. See also: ORCID Profile

2025 Artificial-intelligence-based Reconstruction of Solar Farside Vector Magnetograms from Multispacecraft Extreme-ultraviolet Data
The Astrophysical Journal Supplement Series
2025 Can we properly determine differential emission measures from Solar Orbiter/EUI/FSI with deep learning?
Astronomy & Astrophysics
2023 Automatic Detection of Type II Solar Radio Burst by Using 1-D Convolution Neutral Network
Journal of The Korean Astronomical Society, 56, 213
2023 Fast Reconstruction of 3D Density Distribution around the Sun Based on the MAS by Deep Learning
The Astrophysical Journal
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
2022 Deep Learning–based Fast Spectral Inversion of Hα and Ca ii 8542 Line Spectra
The Astrophysical Journal
2022 Generation of Solar Coronal White-light Images from SDO/AIA EUV Images by Deep Learning
The Astrophysical Journal
2022 Improved AI-generated Solar Farside Magnetograms by STEREO and SDO Data Sets and Their Release
The Astrophysical Journal Supplement Series
2022 Inference of magnetic field during the Dalton minimum: Case study with recorded sunspot areas
Publications of the Astronomical Society of Japan
2022 Application of Deep Learning to Solar and Space Weather Data
Proceedings of the International Astronomical Union
2021 Generation of He i 1083 nm Images from SDO AIA Images by Deep Learning
The Astrophysical Journal
2021 Selection of Three (Extreme)Ultraviolet Channels for Solar Satellite Missions by Deep Learning
The Astrophysical Journal Letters
2021 Visual Explanation of a Deep Learning Solar Flare Forecast Model and Its Relationship to Physical Parameters
The Astrophysical Journal
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
2021 Generation of Modern Satellite Data from Galileo Sunspot Drawings in 1612 by Deep Learning
The Astrophysical Journal
2021 One‐Day Forecasting of Global TEC Using a Novel Deep Learning Model
Space Weather
2020 Solar Coronal Magnetic Field Extrapolation from Synchronic Data with AI-generated Farside
The Astrophysical Journal Letters
2020 Super-resolution of SDO/HMI Magnetograms Using Novel Deep Learning Methods
The Astrophysical Journal Letters
2020 Generation of High-resolution Solar Pseudo-magnetograms from Ca ii K Images by Deep Learning
The Astrophysical Journal Letters
2020 Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks
Space Weather
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
2019 Ensemble Forecasting of Major Solar Flares with Short-, Mid-, and Long-term Active Region Properties
The Astrophysical Journal
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
2019 Nighttime Reflectance Generation in the Visible Band of Satellites
Remote Sensing
2019 Forecast of Daily Major Flare Probability Using Relationships Between Vector Magnetic Properties and Flaring Rates
Journal of The Korean Astronomical Society, 52, 133
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
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
2018 Three-dimensional Oscillations of 21 Halo Coronal Mass Ejections Using Multi-spacecraft Data
The Astrophysical Journal
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