Santa Clara, CA, United States of America

Seong Yeol Mun

This inventor holds 26 USPTO granted patents and 4 published patent applications, primarily in CMOS Image Sensors. Top assignee: Omnivision Technologies, Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seong Yeol Mun. Retrieved from https://idiyas.com/inventor/seong-yeol-mun

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

USPTO Granted Patents = 26 

% Patents Active = 96.2

Average Co-Inventor Count = 1.7

ph-index = 2

Forward Citations = 40(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Image Sensor
Flare Reduction
Crosstalk Suppression
Dark Current
Trench Isolation
High Dynamic Range
Floating Diffusion
Transistor Design
SiGe Photodiode
Pixel Array
LED Flickering Reduction
Substrate Fabrication
26 patents (USPTO):Explore Patents

Title: The Innovative Journey of Seong Yeol Mun

Introduction:

Seong Yeol Mun, a visionary inventor based in Santa Clara, CA, has made significant contributions to the field of technology through his groundbreaking innovations.

Latest Patents:

Seong Yeol Mun holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing his expertise in cutting-edge technologies.

Career Highlights:

With a career spanning over two decades, Seong Yeol Mun has worked for leading tech companies, where he spearheaded research and development projects that have revolutionized the industry.

Collaborations:

Throughout his career, Seong Yeol Mun has collaborated with top researchers, engineers, and scientists, fostering a culture of innovation and pushing the boundaries of what is possible in the tech world.

Conclusion:

Seong Yeol Mun's relentless pursuit of innovation and his passion for creating technology that shapes the future make him a true pioneer in the field of inventions.

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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