Daejeon, South Korea

Young Ae Chun

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Electronics and Telecommunications Research Institute. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Young Ae Chun. Retrieved from https://idiyas.com/inventor/young-ae-chun-ikr13pzc

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Young Ae Chun: Innovator in Machine Learning Integration

Introduction

Young Ae Chun is a prominent inventor based in Daejeon, South Korea. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the interaction between equipment behavior catalogues and machine learning frameworks.

Latest Patents

Young Ae Chun holds a patent titled "Apparatus and method for interfacing EBC framework with ML framework." This invention relates to an apparatus and method designed to interface an equipment behavior catalogue (EBC) framework with a machine learning (ML) framework. The apparatus includes an EBC framework that consists of an EBC storage and a set of equipment instance models. Additionally, it features an ML framework that is interfaced with the EBC framework and includes a collection of tools and libraries that support the development and learning of ML models. He has 1 patent to his name.

Career Highlights

Young Ae Chun is affiliated with the Electronics and Telecommunications Research Institute, where he continues to push the boundaries of technology and innovation. His work is instrumental in bridging the gap between traditional equipment behavior analysis and modern machine learning techniques.

Collaborations

Some of his notable coworkers include Ho Jin Park and Hark Jin Lee, who contribute to the collaborative environment that fosters innovation at the Electronics and Telecommunications Research Institute.

Conclusion

Young Ae Chun's contributions to the integration of machine learning with equipment behavior catalogues highlight his role as a key innovator in the field. His patent reflects a significant advancement in technology that can influence various applications in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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