Assistant Professor Of EEE & AI at Sungkyunkwan University
Gyeonggi, South Korea
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Summary
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Il Chun is an Assistant Professor of EEE & AI with 11 years of experience bridging machine learning, optimization, and computational imaging across academia and research labs. He develops theory-driven iterative neural networks and block-optimization methods for extreme and computational imaging, with applied work in MRI, CT, light-field photography, and multimodal registration. His career spans faculty roles at Sungkyunkwan University and University of Hawaii and research fellowships at Michigan and Purdue under prominent advisors, reflecting a strong blend of theoretical and applied expertise. He teaches image processing, computer vision, and optimization, and maintains a publication portfolio and personal website that detail his contributions to sampling, imaging, and algorithmic regularization. An often-overlooked strength is his cross-disciplinary fluency—combining signal processing, mathematical compressed-sensing theory, and practical deep-learning architectures to tackle ill-posed imaging problems.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Korea University
Ph.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at Purdue University
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Il Chun - Assistant Professor Of EEE & AI at Sungkyunkwan University