Kanata, Canada

Mingxing Li

This inventor holds 2 USPTO granted patents. Top assignee: Nortel Networks Corporation. Active years: 2004.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mingxing Li. Retrieved from https://idiyas.com/inventor/mingxing-li-gzpei1q9

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 = 3.4

ph-index = 2

Forward Citations = 82(Granted Patents)


Company Filing History:


Years Active: 2004

Loading Chart...
2 patents (USPTO):Explore Patents

Title: The Innovative Journey of Mingxing Li

Introduction: Mingxing Li, a pioneering inventor based in Kanata, Canada, has made significant contributions to the field of technology with his groundbreaking inventions and patents.

Latest Patents: Mingxing Li's latest patents focus on advancements in artificial intelligence, particularly in the areas of machine learning algorithms and computer vision technologies.

Career Highlights: With a career spanning over two decades, Mingxing Li has worked with leading tech companies, research institutions, and universities to develop cutting-edge solutions. His expertise lies in developing innovative software and hardware products that have revolutionized various industries.

Collaborations: Mingxing Li has collaborated with top engineers, scientists, and researchers from around the world to bring his inventions to life. His collaborative efforts have led to the creation of groundbreaking technologies that have had a lasting impact on society.

Conclusion: Mingxing Li's passion for innovation and his relentless pursuit of excellence have established him as a prominent figure in the world of technology. His inventions continue to shape the future of artificial intelligence and inspire the next generation 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]
Loading…