Seongnam, South Korea

Jung Moon Kim

This inventor holds 1 USPTO granted patent. Top assignee: Doosan Enerbility Co., Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jung Moon Kim. Retrieved from https://idiyas.com/inventor/jung-moon-kim-dpe7fo17

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jung Moon Kim - Innovator in Deep Learning Technologies

Introduction

Jung Moon Kim is a prominent inventor based in Seongnam, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of deep learning. His innovative work focuses on generating training data essential for the development of AI algorithms.

Latest Patents

Jung Moon Kim holds a patent titled "Defect image generation method for deep learning and system therefor." This patent describes a method and system designed to generate defect images that are crucial for training AI algorithms. Specifically, the training data produced through this method helps in identifying defects in products, enhancing the efficiency and accuracy of AI systems.

Career Highlights

Currently, Jung Moon Kim is employed at Doosan Enerbility Co., Ltd., where he applies his expertise in deep learning technologies. His work at the company emphasizes the integration of innovative solutions in the energy sector, contributing to advancements in AI applications.

Collaborations

Jung Moon Kim collaborates with his coworker, Jung Min Lee, to further enhance their research and development efforts. Together, they work on projects that aim to push the boundaries of technology in their field.

Conclusion

Jung Moon Kim's contributions to deep learning and artificial intelligence are noteworthy. His innovative patent and work at Doosan Enerbility Co., Ltd. reflect his commitment to advancing technology in meaningful ways.

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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