San Jose, CA, United States of America

John Li

This inventor holds 1 USPTO granted patent. Top assignee: Omnivision Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: John Li. Retrieved from https://idiyas.com/inventor/john-li-lkcs2hzg

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: John Li - Innovator in Photodiode Technology

Introduction

John Li is a prominent inventor based in San Jose, California. He has made significant contributions to the field of photodiode technology, particularly through his innovative patent related to microlens arrangements.

Latest Patents

John Li holds a patent for "Quad photodiode microlens arrangements, and associated systems and methods." This invention involves a pixel array composed of green (G), red (R), blue (B), and clear (C) pixels, each containing multiple photodiodes. The design includes small microlenses over clear pixels and larger microlenses over green pixels, optimizing light reception through the semiconductor material.

Career Highlights

Li is currently employed at Omnivision Technologies, Inc., where he continues to advance his research and development efforts in photodiode technology. His work has been instrumental in enhancing the performance of imaging systems.

Collaborations

Some of his notable coworkers include Xiaodong Yang and Sylvia Shuoyu Zhang, who contribute to the innovative environment at Omnivision Technologies.

Conclusion

John Li's contributions to photodiode technology exemplify the impact of innovation in the field of imaging systems. His patent and ongoing work at Omnivision Technologies highlight his role as a key inventor in this area.

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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