Daejeon, South Korea

Dong-gyu Joo

This inventor holds 1 USPTO granted patent. Top assignees: Korea Advanced Institute of Science and Technology, Samsung Electronics Co., Ltd.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dong-gyu Joo. Retrieved from https://idiyas.com/inventor/dong-gyu-joo

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Inventor Spotlight: Dong-gyu Joo from Daejeon, South Korea

Introduction

Dong-gyu Joo is an innovative inventor based in Daejeon, South Korea. He has made significant contributions to the field of artificial intelligence, particularly with his work on neural network recognition. His inventions aim to enhance the capabilities of systems that recognize and classify objects in images.

Latest Patents

Dong-gyu Joo holds a patent for a "Neural network learning method and device for recognizing class." This groundbreaking patent outlines a neural network training device that leverages artificial intelligence for recognizing classes of objects within images. The method includes acquiring feature information from a query image of a different class than the one used for training, generating an image based on this information, and updating network weights to improve recognition accuracy.

Career Highlights

Throughout his career, Dong-gyu Joo has gained valuable experience working with renowned organizations, including Samsung Electronics Co., Ltd. and the Korea Advanced Institute of Science and Technology. His contributions to these institutions have helped advance research and development in machine learning and artificial intelligence.

Collaborations

Dong-gyu Joo has had the opportunity to work alongside talented individuals such as Jun-mo Kim and Byung-ju Kim. These collaborations have enabled him to exchange ideas and push the boundaries of innovation in the field of neural networks and AI applications.

Conclusion

Dong-gyu Joo's work exemplifies the drive for innovation in artificial intelligence and neural networks. With his patented technology, he is poised to make significant advancements in the ability of machines to recognize and learn from visual data. His career reflects a strong commitment to pushing the envelope of technological progress, paving the way for future innovations in this dynamic field.

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]
Loading…