Sunnyvale, CA, United States of America

Kah Kuen Fu

This inventor holds 18 USPTO granted patents and 3 published patent applications and 1 EPO patent. Top assignee: Amazon Technologies, Inc.. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kah Kuen Fu. Retrieved from https://idiyas.com/inventor/kah-kuen-fu

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

USPTO Granted Patents = 18 

% Patents Active = 66.7

 

Average Co-Inventor Count = 4.8

ph-index = 7

Forward Citations = 243(Granted Patents)


Location History:

  • Sunnyvale, CA (US) (2014 - 2018)
  • Cupertino, CA (US) (2017 - 2024)

Company Filing History:


Years Active: 2014-2026

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18 patents (USPTO):Explore Patents

Title: Inventor Kah Kuen Fu

Introduction: Kah Kuen Fu is a talented inventor based in Sunnyvale, CA (US) known for his groundbreaking innovations in various fields.

Latest Patents: Kah Kuen Fu holds several patents in the areas of technology, healthcare, and consumer electronics, showcasing his diverse range of expertise.

Career Highlights: Throughout his career, Kah Kuen Fu has been recognized for his exceptional problem-solving skills and ability to translate ideas into practical solutions. He has worked with leading companies to develop cutting-edge products that have made a significant impact on the industry.

Collaborations: Kah Kuen Fu has collaborated with top researchers, engineers, and designers to bring his inventions to life. His collaborative approach has led to the creation of successful products that have improved the lives of many.

Conclusion: In conclusion, Kah Kuen Fu is a visionary inventor who continues to push the boundaries of innovation. His passion for creating meaningful solutions to complex problems sets him apart in the world of inventors.

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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