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    • Advanced Interface Engineering for High-Performance Solar Cells and Green Hydrogen 13 hours ago
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    • UNIST 3D Printing Convergence Technology Center Hosts Successful Open House Event 4 days ago
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    • Decoding Fear’s Chemistry: Professor Haejin Yoon Wins HFSP Accelerator Grant 3 days ago
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Home Machine Learning

Novel AI-Driven Smart Jig, Capable of Detecting Micro-Level Defects in Just 2.79 Seconds—Enabling Real-Time, Full Inspection

Inspection time reduced from 12 min to 2.79 s, improving production efficiency and enabling total inspection.

Novel AI-Driven Smart Jig, Capable of Detecting Micro-Level Defects in Just 2.79 Seconds—Enabling Real-Time, Full Inspection

Abstract In the mass production of metal-based products such as automobiles, continuous welding and assembly processes are essential. The final product is created through multiple stages of welding, and the cumulative misalignment at each s... Read More

Sep 12, 2025 By JooHyeon Heo Research
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Simulating Wolf Pack Attacks to Strengthen AI Collaboration and Resilience

Their findings have been accepted for presentation at 2025 ICML, held from July 13 to 19 in Vancouver, Canada.

Simulating Wolf Pack Attacks to Strengthen AI Collaboration and Resilience

Abstract Traditional robust methods in multi-agent reinforcement learning (MARL) often struggle against coordinated adversarial attacks in cooperative scenarios. To address this limitation, we propose the Wolfpack Adversarial Attack framewo... Read More

Jul 30, 2025 By JooHyeon Heo Research
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UNIST Industrial Engineering Department Claims Victory in International AI Case Study Competition!

Gyeongho Kim, a Ph.D. student from the laboratory of Professor Sunghoon Lim won 1st place at the 2024 INFORMS QSR Manufacturing AI Case Study Competition.

UNIST Industrial Engineering Department Claims Victory in International AI Case Study Competition!

The ability to predict the feasibility of manufacturing parts significantly enhances production efficiency and reduces costs in the manufacturing industry. Leveraging this technology, the laboratory of the Department of Industrial Engineeri... Read More

Oct 31, 2024 By JooHyeon Heo People
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New Study Unveils Direct Energy Deposition for Smart Micro Reactor

Their findings have been published in Virtual and Physical Prototyping on October 10, 2024.

New Study Unveils Direct Energy Deposition for Smart Micro Reactor

Abstract Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensurin... Read More

Oct 31, 2024 By JooHyeon Heo Research
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Professor Saerom Park’s Team Wins 1st Place in IEEE SaTML 2024 Competition!

Professor Saerom Park's team secured 1st place in the 'CNN Interpretability' category at the 2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Professor Saerom Park’s Team Wins 1st Place in IEEE SaTML 2024 Competition!

Professor Saerom Park and her team in the Safe and Trustworthy AI (Safe AI) Lab within the Department of Industrial Engineering at UNIST have achieved a remarkable feat by securing the first-place position in the ‘CNN Interpretability... Read More

Apr 26, 2024 By JooHyeon Heo People
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New Study Unveils Cutting-Edge Time Series Deep Learning Technique for Optimal Performance in AI Models

This groundbreaking research has been recognized as a top 5% spotlight paper at the prestigious International Conference on Learning Representations (ICLR).

New Study Unveils Cutting-Edge Time Series Deep Learning Technique for  Optimal Performance in AI Models

Abstract Irregular sampling intervals and missing values in real-world time series data present challenges for conventional methods that assume consistent intervals and complete data. Neural Ordinary Differential Equations (Neural ODEs) off... Read More

Apr 05, 2024 By JooHyeon Heo Research
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World’s First Real-Time Wearable Human Emotion Recognition Technology Developed!

The findings of this study have been published online in Nature Communications on January 15, 2024.

World’s First Real-Time Wearable Human Emotion Recognition Technology Developed!

Abstract Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature ma... Read More

Jan 31, 2024 By JooHyeon Heo Research
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Professor Sungryul Baek’s Team Honored at ICCV 2023!

The research team secured 3rd prize at the 'ICCV 2023 Workshop on Observing and Understanding Hands in Action'.

Professor Sungryul Baek’s Team Honored at ICCV 2023!

A research team, led by Professor Sungryul Baek from the Graduate School of Artificial Intelligence at UNIST has achieved remarkable success at the ‘ICCV 2023 Workshop on Observing and Understanding Hands in Action (HANDS),’ whi... Read More

Dec 12, 2023 By JooHyeon Heo People
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UNIST to Sign Cooperation MoU with NIER and Korea Water Forum

The signing ceremony of MoU among UNIST, NIER, and Korea Water Forum took place on February 15, 2022.

UNIST to Sign Cooperation MoU with NIER and Korea Water Forum

UNIST has joined hands with the Korea Water Forum (KWF) and the National Institute of Environmental Research (NIER), affiliated with the Ministry of Environment to solve global environmental challenges with the use of data science and AI. A... Read More

Feb 15, 2022 By JooHyeon Heo News
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UNIST Graduate Appointed as Faculty Member of Seoul Tech Makers College

Dr. Seonyoung Park, 2018 Ph.D. graduate from UNIST, has been appointed as an assistant professor at Seoul National University of Science and Technology Makers College.

UNIST Graduate Appointed as Faculty Member of Seoul Tech Makers College

Seonyoung Park, who completed her Ph.D. in the School of Urban and Environmental Engineering at UNIST, has recently been appointed as an Assistant Professor in the Department of Artificial Intelligence Applications at Makers College, Seoul... Read More

Sep 23, 2020 By JooHyeon Heo People
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