Research
We think critically and creatively.
The group's research interests in data science include
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AI & machine learning (e.g., diffusion models, iterative neural networks, self-supervised learning, representation learning, & contrastive learning),
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optimization (e.g., non-convex optimization, block optimization, & proximal gradient methods), and
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sampling (e.g., compressed sensing & sampling optimization),
with past and current projects in computer vision and computational imaging:
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computational cameras (e.g., light-field imaging, video prediction, & 3D reconstruction),
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medical imaging (e.g., X-ray CT, MRI, PET, & SPECT),
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vision-based autonomous systems (e.g., self-driving/parking, imitation learning, & visual SLAM),
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biomedical image computing (e.g., lung cancer diagnosis/prognosis prediction & nodule segmentation), and
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digital healthcare (e.g., depression/ADHD diagnosis).
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.
Principal Investigator:
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 is an Associate Professor of Electronic and Electrical Engineering (EEE) at Sungkyunkwan University (SKKU) from 2024. He joined the School of EEE at 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, Advanced Display 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 the Head of the AI Convergence Systems Track at EEE, SKKU (2023-).
