홈으로
Community / News
NEWS

NEWS

Professor Kyong Hwan Jin of Korea University Receives the 2026 Frontiers of Science Award

관리자 2026.09.21 Views 18

Honored for AI technology that autonomously restores degraded images with high precision


△ Professor Kyong Hwan Jin of the Korea University School of Electrical Engineering (center in the left photo) poses for a commemorative photo after receiving the award.

Professor Kyong Hwan Jin of the Korea University School of Electrical Engineering has received the 2026 Frontiers of Science Award, presented by the International Congress of Basic Science (ICBS), a world-renowned international gathering in the basic sciences.

Established by ICBS in 2023, the Frontiers of Science Award recognizes papers published within the past decade that have achieved outstanding scholarly accomplishments in three major fields of basic science: mathematics, physics, and information science. Recipients are selected through a rigorous process that includes global nominations and review by expert panels.

Professor Jin was honored in the computer-aided design, computer graphics, and multimedia category for the paper “Deep Convolutional Neural Network for Inverse Problems in Imaging,” co-authored with Professor Michael Unser of EPFL in Lausanne, Switzerland; Dr. Michael T. McCann of Los Alamos National Laboratory in the United States; and Emmanuel Froustey, a software engineer at Dassault Aviation in France.
DOI: 10.1109/TIP.2017.2713099
URL: https://ieeexplore.ieee.org/document/7949028

The paper introduced a new approach that uses convolutional neural networks (CNNs), a deep-learning-based AI model, to trace degraded or incomplete images back to their original, clear state, a process known as an inverse problem. While conventional methods relied on complex mathematical calculations to reconstruct images, resulting in limitations in processing time and accuracy, the proposed approach enables AI to learn by comparing large numbers of degraded images with their original counterparts and to precisely restore damaged or missing parts on its own. The method is now widely used as a foundational theory in related fields, including image restoration and medical image reconstruction, and the paper is regarded as one of the most highly cited works in the field.
* CNN (Convolutional Neural Network): An artificial intelligence model specialized in image recognition and processing that was developed based on the structure of the human visual system.

Professor Jin said, “It is a great honor for this research, which addressed the mathematical challenge of inverse problems through deep learning, to be selected for the Frontiers of Science Award. I hope to continue contributing through research that combines theoretical rigor with practical value, helping AI advance to the point where it can move beyond human intuition.”

The award ceremony was held on August 9 at the International Congress of Basic Science in Beijing, China, and Professor Jin delivered a related lecture there the following day, August 10.
File
KU Engineering Dean Donates KRW 100 Million for New Research Building
2026.09.19
2026.09.19
No next post.
List