Seoul, South Korea

Jaeyeol Song

This inventor holds 13 USPTO granted patents and 3 published patent applications. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2016-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jaeyeol Song. Retrieved from https://idiyas.com/inventor/jaeyeol-song

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

USPTO Granted Patents = 13 

% Patents Active = 100.0

Average Co-Inventor Count = 5.5

ph-index = 3

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2016-2024

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13 patents (USPTO):Explore Patents

Title: The Innovative Journey of Jaeyeol Song

Introduction: Jaeyeol Song is a visionary inventor hailing from Seoul, South Korea, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Jaeyeol Song holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies, showcasing his commitment to pushing the boundaries of what is possible in the modern world.

Career Highlights: With a career spanning over two decades, Jaeyeol Song has worked with some of the leading tech companies in South Korea, spearheading research and development projects that have led to significant advancements in various industries.

Collaborations: Throughout his career, Jaeyeol Song has collaborated with top researchers, engineers, and scientists both locally and internationally, fostering a culture of innovation and knowledge sharing that has been instrumental in his success.

Conclusion: Jaeyeol Song's relentless pursuit of innovation and his passion for creating a better future through technology make him a true pioneer in the world of inventions. His work continues to inspire the next generation of inventors and innovators worldwide.

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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