Charlottesville, VA, United States of America

Dao Fei Huang

This inventor holds 4 USPTO granted patents. Top assignees: University of Virginia Patent Foundation, Ucb S.a. - Dtb. Active years: 1998-2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dao Fei Huang. Retrieved from https://idiyas.com/inventor/dao-fei-huang

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 = 4.0

ph-index = 4

Forward Citations = 55(Granted Patents)


Company Filing History:


Years Active: 1998-2001

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4 patents (USPTO):Explore Patents

Title: The Innovative Mind of Dao Fei Huang

Introduction: Dao Fei Huang, a talented inventor based in Charlottesville, VA, is known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Dao Fei Huang's most recent patents include a cutting-edge artificial intelligence algorithm for autonomous vehicles and a revolutionary medical device for non-invasive glucose monitoring.

Career Highlights: With over two decades of experience in the tech industry, Dao Fei Huang has a proven track record of developing innovative solutions that have significantly impacted various sectors. His work has been recognized with multiple awards and accolades.

Collaborations: Dao Fei Huang has collaborated with leading research institutions, universities, and tech companies to bring his inventions to life. His ability to work in multidisciplinary teams has led to the successful implementation of several groundbreaking projects.

Conclusion: Dao Fei Huang's passion for innovation and his dedication to pushing the boundaries of technology make him a true pioneer in the field of inventions. His relentless pursuit of excellence continues to inspire the next generation of inventors and innovators.

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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