Curriculum Vitae (Gihyeon Jeon, 전기현)

Research Interests

• Tomography
  • Computerized Tomography, Conical Radon Transform, Photoacoustic Tomography
• Machine Learning
  • (Blind) Inverse Problems, PDE solvers (Physics-Informed Neural Network, DeepONet), Generative Models (for Materials Design)

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Education & Employment

• 2025.03. - Present | Postdoctoral Researcher, Computational Science Research Center, Korea Institute of Science and Technology (KIST)
• 2021.03. - 2025.02. | Ph.D. in Mathematics, Kyungpook National University
  • Adviser: Prof. Sunghwan Moon
• 2019.03. - 2021.02. | M.S. in Mathematics, Kyungpook National University
  • Adviser: Prof. Sunghwan Moon
• 2012.03. - 2019.02. | B.S. in Physics with a Minor in Mathematics, Kyungpook National University
  • (Military Service, 2013.04 - 2015.01)

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Publications

Journal articles

1. Gyeongha Hwang, Sunghwan Moon, Dabin Park^$\dagger$, and Gihyeon Jeon^$\dagger$
   Implicit learning to determine variable sound speed and the reconstruction operator in photoacoustic tomography
   Submitted
2. Gihyeon Jeon¹, Nyan Htet Naing, and Gyeongha Hwang
   SelfPMRI: Self-supervised joint sensitivity maps estimation and image reconstruction in parallel MRI
   Submitted
3. Sanghyun Kim¹, Gihyeon Jeon¹, Seungwoo Hwang, Jiho Lee, Jisu Jung, Seungwu Han, Sungwoo Kang
   Are diffusion models ready for materials discovery in unexplored chemical space?
   Submitted
4. Gihyeon Jeon^1$\dagger$
   Range description for an attenuated conical Radon transform with fixed central axis and opening angle
   Applicable Analysis (2025), pp. 1-13.
5. Souvik Roy, Gihyeon Jeon, and Sunghwan Moon
   Radon transform with Gaussian beam: Theoretical and numerical reconstruction scheme
   Applied Mathematics and Computation 452 (2023), p. 128024.
6. Gihyeon Jeon¹ and Sunghwan Moon
   Singular value decomposition of the attenuated conical Radon transform with a fixed central axis and opening angle
   Integral Transforms and Special Functions 32.10 (2021), pp. 812–822.

Books

1. Gihyeon Jeon¹ and Daesick Ryu¹
   Julia Programming: Computational Science, Statistical Analysis, Deep Learning, and Data Visualization (written in Korean, Korean title: 줄리아 프로그래밍: 수리 계산, 통계 분석, 딥러닝, 데이터 시각화를 위한)
   bjpublic, 2024. isbn: 9791165922757.

Preprints

1. Gyeongha Hwang, Gihyeon Jeon, and Sunghwan Moon
   Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in photoacoustic tomography
   arXiv preprint arXiv:2301.08693 (2023)

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Teaching Experience

Teaching

• 2024 Fall     | Calculus II (CLTR0212-021), Kyungpook National University
• 2024 Spring | Calculus I (CLTR0211-040, CLTR0211-021), Kyungpook National University

Teaching Assistant

• 2025 Jan.    | Chief Assistant, 2025 Young Mathematician Camp, Korean Mathematical Society and Hyundai Motor Chung Mong-Koo Foundation
• 2022 Fall     | Seminar in Linear Algebra 2 (MATH0242-001), Kyungpook National University
• 2022 Spring | Seminar in Linear Algebra 1 (MATH0241-001), Kyungpook National University
• 2019 Spring | Mentorship for Undergraduate Students in Mathematics, Kyungpook National University

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Skills

• Computer Languages: Julia-Flux, Python-Pytorch
• Software and Tools: BART (Berkeley Advanced Reconstruction Toolbox), MATLAB, LATEX
• Package Implementation: TopologicalDataAnalysis.jl, Tomography.jl

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Awards and Fellowships

• 2024.12. 『Julia Programming』. Selected for the 2024 Sejong Book List Academic Category
• 2024.08. Top Award for Workshop for Young Mathematicians in Korea (WYMK)
• 2022.05. Top Award for Spring Graduate Student Academic Presentation, the Korean Data Information Science Society (KDISS)
• 2021.03. Kyungpook National University Ph.D. Fellowship (Graduate student with excellent research achievements, recommended by project division)
• 2016.09. Encouragement Award for College of Natural Sciences Student Academic Presentation, Kyungpook National University