Jihyeon Son

Hi there 👋 Welcome to my personal webpage! I am a postdoctroal researcher at Korea Astronomy & Space science Institute (KASI), specializing in solar physics. My research primarily focuses on application of deep learning methods to forecasting and investigating the solar activities and space weather. Especially, I am interested in studying the impact of space weather on the Earth. My ultimate goal is to become a scientist who can contribute to and help society in meaningful ways 🌈

On this website, you can explore my academic journey and career highlights. Thank you for visiting my website, and I hope our paths cross! 😎

Research Interests

Sun, Flare, Space weather, Solar wind, Geomagnetic activity, Deep learning

Employment

Education

Publications

• Six-hour Prediction of Interplanetary Magnetic Field Bz Profiles for Strong Southward Cases by Deep Learning
  Jihyeon Son, Yong-Jae Moon, Young-Sil Kwak, Kyung Sun Park, and Hyun-Jin Jeong
  The Astrophysical Journal, 984(1), 67. (2025)


• Three-day Forecasting of Solar Wind Speed Using SDO/AIA Extreme-ultraviolet Images by a Deep-learning Model
  Jihyeon Son, Suk-Kyung Sung, Yong-Jae Moon, Harim Lee, and Hyun-Jin Jeong
  The Astrophysical Journal Supplement Series, 267(2), 45. (2023)


• 72-Hour Time Series Forecasting of Hourly Relativistic Electron Fluxes at Geostationary Orbit by Deep Learning
  Jihyeon Son, Yong-Jae Moon, and Seungheon Shin
  Space Weather, 20(10), e2022SW003153. (2022)


• Generation of He I 1083 nm Images from SDO AIA Images by Deep Learning
  Jihyeon Son,Junghun Cha, Harim Lee, Eunsu Park, Gyungin Shin, and Hyun-Jin Jeong
  The Astrophysical Journal, 920(2), 101. (2021)


• Solar Cycle Dependence of NOAA Space Weather Scale Frequencies
  Daeil Kim, Yong-Jae Moon, Hyun-Jin Jeong, Jihyeon Son
  Journal of Korean Astronomical Society, 59(1), 55-61. (2025)


• 3D Magnetic Free Energy and Flaring Activity Using 83 Major Solar Flares
  Khojiakbar Karimov, Harim Lee, Hyun-Jin Jeong, Yong-Jae Moon, Jihye Kang, Jihyeon Son, Mingyu Jeon, Kanya Kusano
  The Astrophysical Journal Letters, 965(1), L5. (2024)


• Application of Deep Learning to Solar and Space Weather Data
  Yong-Jae Moon, Harim Lee, Jihyeon Son, Suk-Kyung Sung, Kangwoo Yi, Hyun-Jin Jeong, Eunsu Park, Eun-Young Ji, Il-Hyun Cho, Bendict Lawrance, Daye Lim, Gyungin Shin, Sujin Lee, Sumiaya Rahman and Taeyoung Kim
  Proceedings of the International Astronomical Union, 18(S372), 131-149. (2023)

Participated Projects

• Development of prediction models for solar wind parameters and geomagnetic activity using deep learning

  May 2024 - present
  

  Role: Principal Investigator
  


• Research on next-generation space weather variation and prediction

  May 2025 - present
  

  Role: Research associate (Development of a solar wind forecasting model)
  


• Study on the solar wind forecast and 3D ionospheric modelling improvement using deep learning

  Jan 2025 - Apr 2025
  

  Role: Research associate (Development of a solar wind forecasting model)
  


• Study on the forecast of solar winds and IGS 3D ionospheric modelling technique using deep learning

  March 2023 - Dec 2023
  

  Role: Research associate (Development of a solar wind speed forecasting model)
  


• Development of analysis and forecast models for space weather operations

  Dec 2021 - Dec 2024

  Role: Research associate (Development of a space weather forecasting model)
  


• Study on the forecast of the occurrence, strength, and temporal evolution of solar flares using deep learning

  May 2020 - Jan 2022

  Role: Research associate (Development of a flare forecasting model)
  

Skills

Technical Reports

• Python
• Deep learning framework: Tensorflow/Keras & Pytorch
• Anlysis of solar image data and solar wind data
• Microsoft (Word, Excel, Powerpoint)
• HTML/CSS

Language

• Korean (Native)
• English (Intermediate)

Awards & Certifications

• Grand Prize, Korean Space Weather Center: Artificial Intelligence (AI) competition for space weather forecasting

  Dec 2020