Research
We think critically and creatively.
The group's research interests in AI & machine learning include
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iterative AI: diffusion models & iterative neural networks,
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contrastive representation learning,
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self/un-supervised learning, and
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multi-modal analysis (e.g., vision-language models),
with current projects in multi-dimensional computational imaging & vision:
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4D light-field reconstruction,
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3D view synthesis & 3D reconstruction,
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video prediction, understanding, & analysis,
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multi-modal autonomous driving & parking, and
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medical image reconstruction & analysis (e.g., X-ray CT, MRI, PET, lung cancer diagnosis/prognosis prediction, nodule segmentation).
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 (ECE) from Purdue University in 2015.
He is an Associate Professor of ECE (previously Electronic and Electrical Engineering) at Sungkyunkwan University (SKKU) from 2024. He joined the School of ECE at SKKU in 2021, as an Assistant Professor. Prior to joining SKKU, he was an Assistant Professor of ECE 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, Advanced Display Engineering, Semiconductor Convergence Engineering, and Display Convergence Engineering, SKKU, and the Center for Neuroscience Imaging Research, Institute for Basic Science.
He is currently serving as the Director of the International Collaboration Center, College of Information and Communication Engineering, SKKU (2023-).
