University of Hawaii

Electrical Engineering

Il Yong Chun

Assistant Professor

Office: POST 205H

Tel: (808) 956-5174

Email: iychun@hawaii.edu

Personal Home Page

Curriculum Vitae


Il Yong Chun received the B.Eng. degree from Korea University in 2009, and the Ph.D. degree from Purdue University in 2015, both in electrical engineering.
He joined the Department of Electrical Engineering at the University of Hawaiʻi, Mānoa (UHM) in 2019 as an Assistant Professor. Prior to joining UHM, he was a Postdoctoral Research Associate in Mathematics, Purdue University, and a Research Fellow in Electrical Engineering and Computer Science, the University of Michigan, from 2015-2016 and 2016-2019, respectively. During his Ph.D., he worked with Intel Labs, Samsung Advanced Institute of Technology, and Neuroscience Research Institute, as a Research Intern or a Visiting Lecturer.

My research interests in data science include

  • machine learning & AI (e.g., unsupervised/self-supervised learning, fast AI system training, and "big data"),
  • optimization (e.g., non-convex optimization, block optimization, and proximal gradient methods), and
  • compressed sensing (e.g., multi-imager/sensor system and sampling optimization),
with current and past projects in imaging, image processing & analysis, and computer vision:
  • medical imaging (e.g., X-ray CT, MRI, PET, and SPECT),
  • computational photography (e.g., light-field photography, depth estimation, and 3D object tracking),
  • biomedical image computing (e.g., abnormality detection on brain images, microscopic image segmentation, and dental radiographs classification), and
  • autonomous driving (e.g., multi-modal end-to-end driving).
I am interested both in developing computational data science solutions to these problems, as well as improving fundamental understanding of these solutions. For a snapshot of our current research, see recent preprints/submitted papers under the "publication" link on the left-hand menu.

Group Highlights in 2020:
20-05, UH CoE wrote an article on my graduate course EE616: Computational Image Processing and Computer Vision of which final project, dental image diagnostics, is partnered with Hawaiʻi Dental Service: Engineering students develop real-world solutions through industry-integrated courses. See also UH News. I am proud that many students successfully completed EE616 coursework in S2020 that has unprecedented challenges due to COVID-19!
20-02, UH News wrote a news article on our recent light-field photography work using transparent photodetectors and advanced data science solution (published in Nature Photonics (IF: 31.583)): Engineering professor’s 3D camera improves research in Hawaiʻi. See also CoE news.

***Click here to see further group news.***