Jihyeon Son

Hi there 👋 Welcome to my personal webpage! I am a postdoctroal researcher at Sun & Space Weather Lab. (Kyung Hee University, South Korea), specializing in solar physics. My research primarily focuses on application of deep learning methods to forecasting and investigating the solar acitivities 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 arcademic 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

• 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 the 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
  


• 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