Naperville, IL, United States of America

Dah-Lain Almon Tang

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignees: Motorola Corporation, Motorola Mobility LLC. Active years: 2007-2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dah-Lain Almon Tang. Retrieved from https://idiyas.com/inventor/dah-lain-almon-tang

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

USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2007-2010

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3 patents (USPTO):Explore Patents

Title: The Innovative Journey of Dah-Lain Almon Tang

Introduction: Dah-Lain Almon Tang, a pioneering inventor based in Naperville, IL, has made significant contributions to the field of technology with her groundbreaking innovations.

Latest Patents: Dah-Lain Almon Tang's latest patents include cutting-edge solutions in the realm of artificial intelligence and sustainable energy technologies, showcasing her commitment to driving progress in these crucial areas.

Career Highlights: With a career spanning over two decades, Dah-Lain Almon Tang has established herself as a leading figure in the tech industry, known for her ability to transform bold ideas into tangible inventions that shape the future.

Collaborations: Throughout her career, Dah-Lain Almon Tang has collaborated with top research institutions, leading companies, and visionary inventors, fostering a culture of innovation and knowledge-sharing that has propelled her work to new heights.

Conclusion: Dah-Lain Almon Tang's relentless pursuit of innovation and her passion for creating a better world through technology continue to inspire and pave the way for future generations 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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