We think critically and creatively.
The group's research interests in data science include
AI & machine learning (e.g., self-supervised learning, iterative neural networks, diffusion models, representation learning, & contrastive learning),
optimization (e.g., non-convex optimization, block optimization, & proximal gradient methods), and
sampling (e.g., compressed sensing & sampling optimization),
with past and current projects in computational imaging, computer vision, and image processing:
computational photography (e.g., light-field photography, depth estimation, & 3D reconstruction),
medical imaging (e.g., X-ray CT, MRI, PET, & SPECT),
vision-based autonomous systems (e.g., imitation learning, visual SLAM, & inter-vehicle distance estimation),
biomedical image computing (e.g., lung cancer diagnosis/prognosis prediction & microscopic image segmentation), and
digital healthcare (e.g., depression/ADHD diagnosis & motion estimation from foot pressure).
We are interested both in developing state-of-the-art AI & data science solutions for these problems, as well as improving fundamental understanding of these solutions.
Il Yong Chun, Ph.D.
Il Yong Chun received the B.Eng. degree in Electrical Engineering from Korea University in 2009, and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2015.
He joined the School of Electronic and Electrical Engineering (EEE) at Sungkyunkwan University (SKKU) in 2021, as an Assistant Professor. Prior to joining SKKU, he was an Assistant Professor of Electrical and Computer Engineering at the University of Hawaiʻi, Mānoa, a Research Fellow in Electrical Engineering and Computer Science at The University of Michigan, and a Postdoctoral Research Associate in Mathematics at Purdue University, from 2019-2021, 2016-2019, and 2015-2016, respectively.
He is also affiliated with the departments of Artificial Intelligence, Electrical & Computer Engineering, Semiconductor Convergence Engineering, and Display Convergence Engineering, and the Center for Neuroscience Imaging Research.
He is currently serving as the Director of the International Collaboration Center, College of Information and Communication Engineering, SKKU (2023-), and leading to develop the AI Convergence Systems Track at EEE, SKKU (2023-).