My CV is available as a PDF here, created using RenderCV.
이름/Name
전민규
Mingyu Jeon
이메일/email
mgjeon@khu.ac.kr
전화번호/TEL
+82-31-201-2689
국적/Nationality
대한민국
Republic of Korea (South Korea)
언어/Languages
한국어 (모국어), 영어
Korean (native), English
직업/Position
경희대학교 박사과정 대학원생
PhD Student at Kyung Hee University
소속/Affiliation
경희대학교 우주탐사학과
School of Space Research, Kyung Hee University
주소/Address
대한민국, 17104, 경기도 용인시 기흥구 덕영대로 1732, 경희대학교 국제캠퍼스 천문대, 107호
Room 107, Kyung Hee Astronomical Observatory, 1732 Deogyeong-daero, Giheung-gu, Yongin, Gyeonggi-do 17104, Republic of Korea
전문기술/Technologies
프로그래밍 언어: Python (메인), Julia, Fortran, C, IDL/SolarSoft
딥러닝 프레임워크: PyTorch (메인), JAX, TensorFlow
운영체제: Windows, macOS, Linux/Ubuntu
기타: LaTeX, Git, Web (HTML, CSS, JavaScript)
Languages: Python (main), Julia, Fortran, C, IDL/SolarSoft
Deep Learning Frameworks: PyTorch (main), JAX, TensorFlow
Operating System: Windows, macOS, Linux/Ubuntu
Tools : LaTeX, Git, Web (HTML, CSS, JavaScript)
학업/Education
경희대학교 우주탐사학과 박사과정 (태양물리학 전공, 2025.03. -)
경희대학교 우주탐사학과 석사 졸업 (태양물리학 전공, 2023.09. - 2025.02.) 학점 4.3/4.3
경희대학교 우주과학과 학사 졸업 (천문우주과학 전공, 2018.03. - 2023.08.) 학점 4.188/4.3
PhD in Solar Physics, School of Space Research, Kyung Hee University (March 2025 -)
MS in Solar Physics, School of Space Research, Kyung Hee University (September 2023 – February 2025) GPA 4.3/4.3
BS in Astronomy and Space Science, Department of Astronomy and Space Science, Kyung Hee University (March 2018 – August 2023) GPA 4.188/4.3
관심 연구 분야/Research Interests
태양 및 우주기상 데이터를 분석하고 인공지능 기술을 적용하여 현상을 이해하는 것에 관심을 가지고 있습니다.
I am interested in analyzing solar and space weather data and applying artificial intelligence techniques to better understand these phenomena.
출판/Publications
Hojae Ahn, Florian Briegel, Jimin Han, Mingyu Jeon, Thomas M. Herbst, Sumin Lee, Woojin Park, Sunwoo Lee, Inhwan Jung, Tae-Geun Ji, Changgon Kim, Geon Hee Kim, Wolfgang Gaessler, Markus Kuhlberg, Hyun Chul Park, Soojong Pak, Nicholas P. Konidaris, Niv Drory, José R. Sánchez-Gallego, Cynthia S. Froning, Solange Ramirez, Juna A. Kollmeier, "Telescope control software and proto-model siderostat for the SDSS-V Local Volume Mapper", Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 10, Issue 3, 037001 (2024)
Jaekyun Park, Sang Joon Kim, Mingyu Jeon, Chae Kyung Sim, Henrik Melin, Régis Courtin, Jong Ho Seon, “Spatial and spectral characteristics of the Jovian polar haze inferred from 2-μm Juno/JIRAM spectro-images”, Icarus Volume 420, 15 September 2024, 116139 (2024)
Khojiakbar Karimov, Harim Lee, Hyun-Jin Jeong, Yong-Jae Moon, Jihye Kang, Jihyeon Son, Mingyu Jeon, Kanya Kusano, “3D Magnetic Free Energy and Flaring Activity Using 83 Major Solar Flares”, The Astrophysical Journal Letters, Volume 965, Number 1 (2024)
Changgon Kim, José Sánchez-Gallego, Pavan Bilgi, Mingyeong Yang, Florian Briegel, Tae-Geun Ji, Nicholas P. Konidaris, Taeeun Kim, Hojae Ahn, Mingyu Jeon, Hyun Chul Park, Hye-In Lee, Cynthia S. Froning, Solange Ramirez, Niv Drory, Juna A. Kollmeier, Soojong Pak, “Automatic spectrograph control software for SDSS-V Local Volume Mapper”, Journal of Astronomical Telescopes, Instruments, and Systems, Vol. 9, Issue 3, 037002 (2023)
발표/Presentations
Mingyu Jeon, Yong-Jae Moon, "Exploring the Potential of Diffusion Models for Solar Image-to-Image Translation", 2025 KASI Solar and Space Weather Workshop, Poster (2025)
Mingyu Jeon, "Physics-Informed Deep Learning for Solar Active Region Magnetic Fields", KSSS-JPL-KASSTA Joint Workshop on Space Science & Technology, Oral (2024)
Mingyu Jeon, Hyun-Jin Jeong, Yong-Jae Moon, Jihye Kang, Kanya Kusano, "Real-Time Reconstruction of Solar Coronal Magnetic Fields using Physics-Informed Neural Opeartor", 2024 KSSS Fall Conference, Oral (2024)
Yujin Cho, Geonhwa Jee, Mingyu Jeon, Hyuck-Jin Kwon, Ji Eun Kim, Young-Bae Ham, Changsup Lee, Ji-Hye Baek, "Preliminary Results of Auroral Recognition Procedure by using Deep Learning Technique in All-Sky Auroral Image Data", 2024 KSSS Fall Conference, Oral (2024)
Seungheon Shin, Jaewon Lee, Mingyu Jeon, Yong-Jae Moon, "A Data-Centric Approach to Enhancing Object Detection in Solar Images", 2024 KSSS Fall Conference, Poster (2024)
Mingyu Jeon, Hyun-Jin Jeong, Yong-Jae Moon, Kanya Kusano, "Near Real-Time Extrapolation of Nonlinear Force-Free Fields from Photospheric Vector Magnetograms Using Physics-Informed Neural Operators", COSPAR 2024, Oral (2024)
Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi, "Prediction of Next Solar Rotation Synoptic Maps Using an AI-based Solar Surface Flux Transport Model", COSPAR 2024, Oral (2024)
Hyun-Jin Jeong, Mingyu Jeon, Daeil Kim, Youngjae Kim, Ji-Hye Baek, Yong-Jae Moon, Seonghwan Choi, "Preliminary Results of AI-Based Solar Photospheric Flux Transport Models", 2023 KSSS Fall Conference, Oral (2023)
Khojiakbar Karimov, Harim Lee, Yong-Jae Moon, Jihye Kang, Hyun-Jin Jeong, Mingyu Jeon, Jihyeon Son, Kanya Kusano, "Major Flaring Activity Depending on the Phase of 3D Magnetic Free Energy", 2023 KSSS Fall Conference, Oral (2023)
Gwangson Choe, Sibaek Yi, Minseon Lee, Mingyu Jeon, "Are Physics-Math-Based Iteration Methods and Physics-Informed Neural Network Methods in Static Magnetic Field Calculation More Different or More Similar?", 2023 KSSS Spring Conference, Oral (2023)
Mingyeong Yang, Changgon Kim, José Sánchez-Gallego, Florian Briegel, Felipe Besser, Pavan Bilgi, Hojae Ahn, Tae-Geun Ji, Nicholas P. Konidaris, Guillermo A. Blanc, Taeeun Kim, Mingyu Jeon, Hyun Chul Park, Hye-In Lee, Erika Cook, Cynthia S. Froning, Solange Ramirez, Niv Drory, Juna A. Kollmeier, Soojong Pak, "SDSS-V LVM-I Observation Control Software: SCP, ECP and NPS", 2022 105th KAS Spring Meeting, Oral (2022)
Hojae Ahn, Florian Briegel, Mingyu Jeon, Tom Herbst, Sumin Lee, Inhwan Jung, Changgon Kim, Jimin Han, Geon Hee Kim, Wolfgang Gaessler, Markus Kuhlberg, Tae-Geun Ji, Hyun Chul Park, Soojong Pak, Nicholas P. Konidaris, Niv Drory, José Sanchez-Gallego, Dmitry Bizyaev, Cynthia S. Froning, Solange Ramirez, Juna A. Kollmeier, "Development of siderostat control system for SDSS-V Local Volume Mapper", 2022 105th KAS Spring Meeting, Oral (2022)
과제/Projects
2024.12.-현재, AI기반 우주기상 예측모델 데이터셋 구축
PI: 문용재
태양 및 우주기상을 위한 딥러닝 모델 개발
2024.07.-2025.02., SpaceAI 2024
조유진 (극지연) 주도 "딥러닝을 활용한 전천 이미지로부터 오로라 세그멘테이션" 연구 참여
2024.05.-2025.02., BK21, 차세대 우주탐사 인력양성팀
PI: 문용재
태양 및 우주기상을 위한 딥러닝 모델 개발
2023.09.-2024.02., 우주기상 분석 및 예측모델 개발
PI: 문용재
태양 코로나 자기장 실시간 재구성 딥러닝 모델 개발
2023.07.-2024.02., SpaceAI 2023
정현진 (경희대) 주도 "딥러닝 vs 광구 자기장 수송 모델" 연구 참여
2023.05.-2024.02., 인공지능 기반 태양 표면 자기장 지도 개발
PI: 문용재
태양 코로나 자기장 실시간 재구성을 위한 물리 정보 딥러닝 모델 개발
2023.03.-2023.08., 관측기반 시뮬레이션을 통한 태양코로나 진화 연구
PI: 최광선
태양 코로나 자기장 재구성을 위한 물리 정보 딥러닝 모델 개발
2022.11.-2025.02., 특이한 형태의 목성 북극 대열적반의 지속성 규명 연구
PI: 김상준
목성 탐사선 Juno/JIRAM 분광 데이터 분석
2022.01.-12., 무인이동체 임무장비 광학계 설계 및 분광영상 모델개발
PI: 박수종
SDSS LVM 카메라 제어 소프트웨어 개발
2024.12.-present, AI-Based Space Weather Forecasting Model Dataset Construction
PI: Yong-Jae Moon
Developed a deep learning model for sun and space weather
2024.07.-2025.02., SpaceAI 2024
Participated in the research project, “Aurora Segmentation from All-Sky Images Using Deep Learning" led by Yujin Cho (KOPRI)
2024.05.-2025.02., BK21, The Next-Generation Space Exploration Workforce Development Team
PI: Yong-Jae Moon
Developed a deep learning model for sun and space weather
2023.09.-2024.02., Space Weather Analysis and Development of Prediction Models
PI: Yong-Jae Moon
Developed a deep learning model for real-time reconstruction of solar coronal magnetic fields
2023.07.-2024.02., SpaceAI 2023
Participated in the research project, “Deep Learning vs. Photospheric Flux Transport Model" led by Hyun-Jin Jeong (KHU)
2023.05.-2024.02., Development of an AI-Based Solar Surface Magnetic Field Map
PI: Yong-Jae Moon
Developed a physics-informed deep learning model for real-time reconstruction of solar coronal magnetic fields
2023.03.-2023.08., Study on the Evolution of the Solar Corona Through Observation-Based Simulations
PI: Gwangson Choe
Developed a physics-informed deep learning model for reconstruction of solar coronal magnetic fields
2022.11.-2025.02., Study on the Persistence of the Unusual Shape of Jupiter’s Northern Great Red Spot
PI: Sang Joon Kim
Analyzed spectral data from the Juno/JIRAM
2022.01.-12., Design of optical systems for unmanned vehicle mission equipment and development of spectral imaging models
PI: Soojong Pak
Developed the SDSS LVM camera control software
비형식 교육/Non-formal Education
2025.02.03.-04., 한양대 2025년 겨울 인공지능부트캠프, http://www.hanyang.ac.kr/surl/fbJmB
2025.01.12.-15., 2025년 태양우주환경 겨울학교/워크숍, https://sse.kasi.re.kr/workshop/this/info
2024.09.02.-06., AstroAI Asian Network 여름학교, https://cd3.ipmu.jp/a3n/
2023.07.24.-28., 2023 수치상대론 및 중력파 여름학교, school.gw.nr.re.kr/2023/summer/
2022.07.11.-15., KIAS 여름학교 2022 외부은하와 우주론, http://home.kias.re.kr/astroschool2022/
2022.01.17.-21., 2022 수치상대론 및 중력파 겨울학교, https://school.gw.nr.re.kr/2022/winter/
2021.08.16.-20., 2021 수치상대론 및 중력파 여름학교, https://school.gw.nr.re.kr/2021/summer
2019.01.25.-29., 2019년 소백산 천문대 겨울학교, https://www.kasi.re.kr/kor/publication/post/notice/10794
2025.02.03.-04., 2025 HYU Diffusion Model Boot Camp, http://www.hanyang.ac.kr/surl/fbJmB
2025.01.12.-15., 2025 KASI Solar and Space Weather Winter School/Workshop, https://sse.kasi.re.kr/workshop/this/info
2024.09.02.-06., 2024 AstroAI Asian Network Summer School, https://cd3.ipmu.jp/a3n/
2023.07.24.-28., 2023 Numerical Relativity and Gravitational Waves Summer School, school.gw.nr.re.kr/2023/summer/
2022.07.11.-15., 2022 KIAS Galaxies and Cosmology Summer School, http://home.kias.re.kr/astroschool2022/
2022.01.17.-21., 2022 Numerical Relativity and Gravitational Waves Winter School, https://school.gw.nr.re.kr/2022/winter/
2021.08.16.-20., 2021 Numerical Relativity and Gravitational Waves Summer School, https://school.gw.nr.re.kr/2021/summer
2019.01.25.-29., 2019 SOAO Long-slit Spectroscopy Winter School, https://www.kasi.re.kr/kor/publication/post/notice/10794
대외활동/Extracurricular Activities
2024.05-현재, Scientific Computing & Artificial Intelligence 스터디
2023.09-현재, Solar Physics Journal Club, https://solarphysics.github.io/
2025.02.20., 우주포럼 기획 토론회, https://www.kas.org/notice/view.php?idx=9682
2025.02.18., SpaceAI 2025 컨퍼런스, https://www.kas.org/notice/view.php?idx=9681
2025.01.22.-02.06., 일반대학원 학술 심화 스터디 (태양)
2025.01.12., 제 9회 태양/우주환경을 연구하는 젊은 과학자 모임, https://site.sun2us.net/
2024.12.15.-17., 한-미 국제협력 워크숍
2024.08.26.-27., SpaceAI 2024 집중협업캠프
2024.07.01., SpaceAI 2024 킥오프 미팅
2024.01.-02., SSWLAB 통계스터디
2024.02.07., SpaceAI 2024 컨퍼런스
2024.01.18., 제 10차 K-SPACE 워킹그룹 모임, https://kspace.khu.ac.kr/k-space-wg-모임/제-10차-k-space-wg
2023.07.-08., SSWLAB 인공지능스터디
2023.08.30., SpaceAI 2023 집중협업캠프
2023.07.05., SpaceAI 2023 킥오프 미팅
2023.04.-06., 위즈랩 개발자 인턴 (한국천문연구원 과제 수행)
2023.01.-03., 경희대학교 천문대 보조 선생님 아르바이트 (2023년 1분기)
2023.02.21., 2023 Korea Astronomy Machine Learning Winter Meeting, https://sites.google.com/view/winterkaml2023/program
2023.01.09-15. KAO 한국천문올림피아드 2023 겨울학교 천올멘토, http://www.kasolym.org/EZ/rb/view.asp?seq=32&page=1&BoardModule=Board&tbcode=board06
2022.08.17., 한국천문연구원 학부생 견학 프로그램, https://www.kasi.re.kr/kor/publication/post/notice/29178
2022.08.02-11. IAUGA 2022 운영요원, https://www.iauga2022.org/
2021.08.19.-20., IASS 2021 천문우주 관측기기 워크숍, https://www.iass-workshop.org/board/view?b_name=bo_history&bo_id=12&per_page=
2024.05-present, Scientific Computing & Artificial Intelligence Study Group
2023.09-present, Solar Physics Journal Club, https://solarphysics.github.io/
2025.02.20., Space Forum Planning Discussion Session, https://www.kas.org/notice/view.php?idx=9682
2025.02.18., SpaceAI 2025 Conference, https://www.kas.org/notice/view.php?idx=9681
2025.01.22.-02.06., General Student Council Academic Enrichment Study Group (Sun)
2025.01.12., The 9th Young Scientists for the Sun, https://site.sun2us.net/
2024.12.15.-17., KSSS-JPL-KASSTA Joint Workshop on Space Science & Technology
2024.08.26.-27., SpaceAI 2024 Intensive Collaboration Camp
2024.07.01., SpaceAI 2024 Kick-off Meeting
2024.01.-02., SSWLAB Statistics Study Group
2024.02.07., SpaceAI 2024 Conference
2024.01.18., The 10th K-Space Working Group, https://kspace.khu.ac.kr/k-space-wg-모임/제-10차-k-space-wg
2023.07.-08., SSWLAB AI Study Group
2023.08.30., SpaceAI 2023 Intensive Collaboration Camp
2023.07.05., SpaceAI 2023 Kick-off Meeting
2023.04.-06., Software Engineer Intern at Wyslab for KASI Project
2023.01.-03., Assistant Instructor at Kyung Hee Astronomical Observatory (Part-time job)
2023.02.21., 2023 Korea Astronomy Machine Learning Winter Meeting, https://sites.google.com/view/winterkaml2023/program
2023.01.09-15. Mentor at 2023 Korea Astronomy Olympiad Winter School, http://www.kasolym.org/EZ/rb/view.asp?seq=32&page=1&BoardModule=Board&tbcode=board06
2022.08.17., 2022 KASI Undergraduate Field Trip, https://www.kasi.re.kr/kor/publication/post/notice/29178
2022.08.02-11. Staff at IAUGA 2022, https://www.iauga2022.org/
2021.08.19.-20., 2021 Astronomical Instrumentation Workshop, https://www.iass-workshop.org/board/view?b_name=bo_history&bo_id=12&per_page=
수업조교/TA
2024년 2학기, 경희대학교 우주과학과 "천문학 개론 및 실습 2" 수업조교
Fall Semester 2024, Teaching Assistant for "Introduction to Astronomy & Lab 2", Department of Astronomy and Space Science
수상내역/Awards
2024년 9월, 제1회 한국천문연구원-카이스트 천문우주 AI 경진대회, 화성상 (SpaceAI 프로그램 위원장상, 3인 팀으로 참가)
The 1st KASI-KAIST Astronomy and Space Science AI Competition, Mars Prize (Chairperson's Prize of the SpaceAI Program, participated as a 3-person team)
장학/Scholarships
대학원: 경희학부우수졸업생장학 (2023-2학기, 2024-1&2학기)
학부: 우수장학 (2019-1&2학기, 2020-1학기, 2022-2학기, 2023-1학기)
Graduate School: Kyung Hee Undergraduate Honors Graduates Scholarship (2023 Fall, 2024 Spring & Fall)
Undergraduate: Academic Excellence Scholarship (2019 Spring & Fall, 2020 Spring, 2022 Fall, 2023 Spring)