People · Faculty

Sangryul Jeon

Assistant Professor, Department of Computer Science and Engineering and College of BioMedical Convergence Engineering, Pusan National University.

Professor Sangryul Jeon
Biography

I am an Assistant Professor in the Department of Computer Science and Engineering and the College of BioMedical Convergence Engineering at Pusan National University. Before joining PNU, I was a Postdoctoral Scholar at UC Berkeley in the EECS Department. I obtained my Ph.D. in Electrical and Electronic Engineering from Yonsei University in 2022 under the guidance of Prof. Kwanghoon Sohn. I received my B.S. in the same department from Yonsei University in 2016. Additionally, I have worked as a research intern at Adobe and have been actively involved in various research collaborations.

Curriculum Vitae

Education

  • Ph.D. in Electrical and Electronic Engineering, Yonsei University, 2022
  • B.S. in Electrical and Electronic Engineering, Yonsei University, 2016

Professional Experience

  • Assistant Professor, Pusan National University, South Korea, 2021 – Present
    • Department of Computer Science and Engineering
    • College of BioMedical Convergence Engineering
  • Postdoctoral Scholar, UC Berkeley, 2022 – 2023
    • EECS Department
  • Research Intern, Adobe Research, 2021
    • Creative Intelligence Lab
  • Research Assistant, Yonsei University, 2016 – 2022
    • Department of Electrical and Electronic Engineering

Professional Activity

  • Reviewer: CVPR 2020–2022, ICCV 2021, ECCV 2022, NeurIPS 2020–2022, ICLR 2021–2023, ICML 2021–2022, ACCV 2020–2022, WACV 2021–2022, Pattern Recognition, Neurocomputing

Service

  • Local Arrangements Chair, KCCV 2024
  • Reviewer for CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, and others.

Teaching

  • 2025 Spring: Introduction to Computer Vision, Advanced Computer Vision
  • 2024 Fall: Introduction to Electric and Electronic Engineering, Programming for Deep Learning
  • 2024 Spring: Discrete Mathematics, Introduction to Data Science, Advanced Computer Vision
  • 2023 Fall: Introduction to Electric and Electronic Engineering, Probabilities and Statistics