Paju-si, South Korea

Sangyoon Keum

This inventor holds 1 USPTO granted patent. Top assignee: Gm Global Technolgoy Operations, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sangyoon Keum. Retrieved from https://idiyas.com/inventor/sangyoon-keum

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Sangyoon Keum: Innovator in Auto-Adjusting Digital Clusters

Introduction

Sangyoon Keum is a notable inventor based in Paju-si, South Korea. He has made significant contributions to the field of automotive technology, particularly in enhancing user experience through innovative display systems.

Latest Patents

Sangyoon Keum holds a patent for an "Auto-adjusting digital cluster utilizing machine learning database." This invention involves methods and systems that utilize vehicle sensors to gather data related to the steering wheel. The technology determines if the display view is obstructed by the steering wheel and adjusts the display images accordingly to ensure optimal visibility for the user.

Career Highlights

Sangyoon is currently employed at GM Global Technology Operations, Inc., where he continues to develop cutting-edge automotive technologies. His work focuses on integrating machine learning with vehicle systems to enhance functionality and user interaction.

Collaborations

Sangyoon collaborates with talented colleagues, including Hyejin Kim and Donggyun Kim, to drive innovation within the company. Their combined expertise contributes to the advancement of automotive technologies.

Conclusion

Sangyoon Keum's innovative work in auto-adjusting digital clusters showcases his commitment to improving vehicle user experiences through technology. His contributions are paving the way for smarter automotive solutions.

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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