Career Profile
I am a scientist studying solar physics and space weather. I have been actively applying deep learning to my research area. My goal is to improve our understanding of the Sun and enhance our ability to predict the effects of solar activity on Earth. To achieve this, I am trying to develop deep learning models to process, reprocess, and improve the quality of solar and space weather data.
Experiences
- Design and developping space weather data pipeline
- Development of solar data processing model based on deep learning
- Design and build of research environment (HW/SW) for SSWL
Publications
This is a colloection of papers that I have participated as a main author. You can find a full list of my publications HERE
- Pixel-to-pixel translation of solar EUV images for DEMs by Fully-connected Networks
- Reply to: Reliability of AI-generated magnetograms from only EUV images
- Denoising SDO/HMI Solar Magnetograms by Image Translation Method Based on Deep Learning
- Generation of solar UV and EUV images from SDO/HMI magnetograms by deep learning
- Solar farside magnetograms from deep learning analysis of STEREO/EUVI data
- Application of Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-Disk Magnetograms
- Observational test of empirical magnetopause location models using geosynchronous satellite data
Astrophysical Journal Supplement Series, 264, 33
Nature Astronomy, 5, 111
Astrophysical Journal Letters, 891, L4
Astrophysical Journal Letters, 884, L23
Nature Astronomy, 3, 397
Astrophysical Journal, 869, 91
Journal of Geophysical Research, 121, 10994-11006
Projects
I have experience serving as a principal investigator for 2 national research and development projects.