Seoul, South Korea

Heeyeon Nah

This inventor holds 2 USPTO granted patents. Top assignee: Lg Electronics Inc.. Active years: 2021-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Heeyeon Nah. Retrieved from https://idiyas.com/inventor/heeyeon-nah

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


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2022

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2 patents (USPTO):Explore Patents

Title: Heeyeon Nah: Innovator in Federated Learning Technologies

Introduction

Heeyeon Nah is a prominent inventor based in Seoul, South Korea. He is known for his contributions to the field of federated learning, particularly in the recognition of business cards and handwritten characters. With a total of two patents to his name, Nah is making significant strides in the realm of artificial intelligence and machine learning.

Latest Patents

Heeyeon Nah's latest patents include a "Method and apparatus for recognizing a business card using federated learning." This innovative method allows a terminal to recognize a business card by receiving an image, extracting feature values, and utilizing a common prediction model to determine text information. The process also includes error correction and model training through shared learning among terminals.

Another notable patent is the "Method and apparatus for recognizing handwritten characters using federated learning." This method enables terminals to recognize text from handwritten characters by applying a common prediction model, extracting feature values, and caching information for error correction. The feedback operation from users allows the model to learn and improve over time.

Career Highlights

Heeyeon Nah is currently employed at LG Electronics Inc., where he continues to develop and refine his innovative technologies. His work focuses on enhancing user experience through advanced recognition systems that leverage federated learning.

Collaborations

Heeyeon Nah collaborates with talented coworkers, including Daesung Kim and Jaewoong Yun. Together, they contribute to the advancement of technologies that improve the efficiency and accuracy of data recognition.

Conclusion

Heeyeon Nah is a visionary inventor whose work in federated learning is paving the way for future innovations in text recognition. His patents reflect a commitment to enhancing technology through collaboration and user feedback.

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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