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    • UNIST Secures KRW 11 Billion in Research Funding for ‘AI Star Fellowship’ Project 7 days ago
    • UNIST Secures Top Position at Korea’s Premier Autonomous Driving Competition 1 week ago
    • Fall Festival at UNIST Sparks Joy and Togetherness for Children with Unique Needs 1 week ago
    View all
    • UNIST Secures KRW 11 Billion in Research Funding for ‘AI Star Fellowship’ Project 7 days ago
    • UNIST Secures Top Position at Korea’s Premier Autonomous Driving Competition 1 week ago
    • Fall Festival at UNIST Sparks Joy and Togetherness for Children with Unique Needs 1 week ago
    View all
    • [UNIST 18th Anniversary Address] “Building a Future as a Nexus of Innovation and Excellence!” 2 weeks ago
    • Professor Jae-Young Kim Achieves First Detection of Magnetic Field Change in M87 Black Hole 3 weeks ago
    • Vidal Sonics Wins Grand Prize at the 2025 R&D Special Zone Tech Startup Investment Competition for S&T Specialized Universities 4 weeks ago
    View all
    • UNIST and PKNU Sign MOU to Promote Educational Donations and Develop Joint STEM Programs in Gyeongsang Region 1 month ago
    • UNIST Connects with Community Through Spring Concert for Children with Disabilities 6 months ago
    • Flower Beds at UNIST Given A New Lease of Life! 4 years ago
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    • Finer-Scale Monitoring of Ammonia Emissions That Contribute to Fine Particulate Matter 2 weeks ago
    • New Study Unveils Artificial Mini Kidneys that Closely Mimic Human Kidney Architecture and Function 2 weeks ago
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Home Im Doo Jung

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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AI-Powered Manufacturing Cuts Battery Defects and Costs, Saving Billions

The findings were published in the prestigious international journal InfoMat (Impact Factor: 22.7, Top 3% in JCR) on May 8, 2025.

AI-Powered Manufacturing Cuts Battery Defects and Costs, Saving Billions

Abstract Nickel-rich layered oxides (LiNixCoyMnzO2, NCM) are among the most promising cathode materials for high-energy lithium-ion batteries, offering high specific capacity and output voltage at a relatively low cost. However, industrial-... Read More

May 28, 2025 By JooHyeon Heo Research
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New Study Unveils 3D Printing PQD-Polymer Architectures at Room Temperature

The findings of this research have been published in the online March 2024 edition of Advanced Functional Materials.

New Study Unveils 3D Printing PQD-Polymer Architectures at Room Temperature

Abstract Organic–inorganic perovskite quantum dot (PQD)–polymer composites are emerging optoelectronic materials with exceptional properties that are promising widespread application in next-generation electronics. Advances in the utilizati... Read More

May 02, 2024 By JooHyeon Heo Research
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Researchers Unveil Smart Contact Lens, Capable of Implementing AR-based Navigation

Published in the January 2023 issue of Advanced Science, their findings have also been featured as a front cover.

Researchers Unveil Smart Contact Lens, Capable of Implementing AR-based Navigation

Abstract Using energy-saving electrochromic (EC) displays in smart devices for augmented reality makes cost-effective, easily producible, and efficiently operable devices for specific applications possible. Prussian blue (PB) is a metal-org... Read More

Feb 24, 2023 By JooHyeon Heo Research
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New Study Presents Laser Powder Bed Fusion for AI-Assisted Digital Metal Components

Their findings have been published in the May 2022 issue of Virtual Phys. Prototyp.

New Study Presents Laser Powder Bed Fusion for AI-Assisted Digital Metal Components

Abstract This paper proposes a novel method to impart intelligence to metal parts using additive manufacturing. A sensor-embedded metal bracket is prototyped via a metal powder bed fusion process to recognise partial screw loosening or tota... Read More

Jun 15, 2022 By JooHyeon Heo Research
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Global News

  • New Smartphone App Offers Convenient Way to Diagnose Sleep Apnea
  • [Korea Bizwire] June, 4, 2024

  • New study finds clue to predict pancreatic cancer's progression and metastasis
  • [Korea Biomedical Rev.] June, 4, 2024

  • Study reveals promising technology for sepsis treatment using functional magnetic nanoclusters
  • [Phys.org] May,27, 2024

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