Kyung Chul Lee

image1.png

<Google Scholar> <Download CV>

I’m currently a Ph.D. student in Electrical Engineering at Yonsei University advised by Prof. Seung Ah Lee with my research centered on computational optics and imaging. During my Ph.D. studies, I had the opportunity to be mentored by Prof. Roarke Horstmeyer in the Biomedical Engineering department at Duke University. I’ve been honored to receive the Silver Prize at the 28th Samsung Humantech Paper Awards and Graduate Research Fellowships from the NRF and MOHW.

My research interests are broadly in computational optics and imaging, with a particular focus on the co-design of optical hardware and image processing algorithms aiming to create advanced imaging systems for real-world applications. I have extensive experience in mask-based lensless imaging, Fourier ptychography, and in-vivo imaging using speckle dynamics. I enjoy chats and collaborative works with individuals who share a passion for their work :)

News

Sep 2023 I won the NRF fellowship for next-generation researchers.
Jul 2023 I won the excellence academic paper award from Yonsei university.
Mar 2023 I won the best presentation award at the 3rd Quantitative Phase Imaging Symphosium.
Jan 2023 I gave a talk for my virtual staining work at the SPIE Photonics West 2023
Jan 2023 My paper is featured as a cover article for the January issue of Optica :smile:
Jan 2023 I was at the CES 2023 to showcase my smartphone FPM.
Dec 2022 I won an excellence prize at the 14th Electronics Times Paper Awards!
Jun 2022 I gave a talk for my project regarding phase mask design at the GRC 2022.
Jun 2022 I received the Graduate Biomedical Research Fellowship and will visit Duke University for a year.
Feb 2022 I won a silver prize at the Samsung Humantech Paper Awards.

Publications

  1. Tensorial tomographic Fourier ptychography with applications to muscle tissue imaging
    Shiqi Xu, Xi Yang, Paul Ritter, Xiang Dai, Kyung Chul Lee, Lucas Kreiss, Kevin C Zhou, Kanghyun Kim, Amey Chaware, Jadee Neff, and  others
    Advanced Photonics 2024
  2. Computational 3D topographic microscopy from terabytes of data per sample
    Kevin C Zhou, Mark Harfouche, Maxwell Zheng, Joakim Jönsson, Kyung Chul Lee, Kanghyun Kim, Ron Appel, Paul Reamey, Thomas Doman, Veton Saliu, and  others
    Journal of Big Data 2024
  3. Anisotropic regularization for sparsely sampled and noise-robust Fourier ptychography
    Kyung Chul Lee, Hyesuk Chae, Shiqi Xu, Kyungwon Lee, Roarke Horstmeyer, Seung Ah Lee, and Byung-Woo Hong
    Optics Express 2024
  4. Design and single-shot fabrication of lensless cameras with arbitrary point spread functions
    Kyung Chul Lee, Junghyun Bae, Nakkyu Baek, Jaewoo Jung, Wook Park, and Seung Ah Lee
    Optica 2023
  5. Digital staining in optical microscopy using deep learning-a review
    Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C Zhou, Kyung Chul Lee, Alexander Mühlberg, Kanghyun Kim, Amey Chaware, Michael Ando, and  others
    PhotoniX 2023
  6. Aperture-encoded snapshot hyperspectral imaging with a lensless camera
    Taeyoung Kim, Kyung Chul Lee, Nakkyu Baek, Hyesuk Chae, and Seung Ah Lee
    APL Photonics 2023
  7. Single-shot temporal speckle correlation imaging using rolling shutter image sensors
    Changyoon Yi, Jaewoo Jung, Jeongmyo Im, Kyung Chul Lee, Euiheon Chung, and Seung Ah Lee
    Optica 2022
  8. A smartphone-based Fourier ptychographic microscope using the display screen for illumination
    Kyung Chul Lee, Kyungwon Lee, Jaewoo Jung, Se Hee Lee, Donghyun Kim, and Seung Ah Lee
    ACS Photonics 2021