Mountain View, CA, United States of America

Min Qu

This inventor holds 18 USPTO granted patents, primarily in Image Sensor Technology. Top assignee: Omnivision Technologies, Inc.. Active years: 2013-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Min Qu. Retrieved from https://idiyas.com/inventor/min-qu

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

Calculating rank

USPTO Granted Patents = 18

% Patents Active = 100.0

Average Co-Inventor Count = 4.8

ph-index = 6

Forward Citations = 62(Granted Patents)

Location History:

Sunnyvale, CA (US) (2013 - 2014)
Mountain View, CA (US) (2016 - 2024)

Company Filing History:

18 out of 1,420

Omnivision Technologies, Inc.

patents

Years Active: 2013-2024

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Areas of Expertise:

Image Sensor

Phase Detection Autofocus

High-Density Pixels

Artifact Reduction

Analog to Digital Converter

Dynamic Range

Readout Circuitry

Column Design

Noise Reduction

High-Speed CMOS

Calibration Techniques

Ramp Generator

18 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12088937 - Bitline settling and power supply rejection ratio in a nine cell pixel image sensor with phase detection autofocus (2024-09-10),

2. 11871135 - Circuit and method for image artifact reduction in high-density, high-pixel-count, image sensor with phase detection autofocus (2024-01-09),

3. 11683604 - Circuit and method for image artifact reduction in high-density, highpixel-count, image sensor with phase detection autofocus (2023-06-20),

4. 11683602 - Nine cell pixel image sensor with phase detection autofocus (2023-06-20),

5. 11632512 - Arithmetic logic unit design in column analog to digital converter with shared gray code generator for correlated multiple samplings (2023-04-18),

6. 11595030 - Ramp generator providing high resolution fine gain including fractional divider with delta-sigma modulator (2023-02-28),

7. 11431939 - Analog to digital converter clock control to extend analog gain and reduce noise (2022-08-30),

8. 11431936 - Image sensor with shared gray code generator and parallel column arithmetic logic units (2022-08-30),

9. 11206392 - Image sensor with frame level black level calibration (2021-12-21),

10. 11128307 - Circuit and method for control of counter start time (2021-09-21),

11. 11095836 - Image sensor far end driver circuitry providing fast settling row control signals (2021-08-17),

12. 10290673 - Bitline settling improvement and FPN reduction by floating bitline during charge transfer (2019-05-14),

13. 9848140 - Horizontal banding reduction with ramp generator isolation in an image sensor (2017-12-19),

14. 9521348 - Readout circuitry for image sensor (2016-12-13),

15. 8809759 - Multiple-row concurrent readout scheme for high-speed CMOS image sensor with backside illumination (2014-08-19),

Title: The Innovative Journey of Min Qu

Introduction: Min Qu, a pioneering inventor based in Mountain View, CA, has made significant contributions to the field of technology with her groundbreaking innovations.

Latest Patents: Min Qu holds several patents in the areas of artificial intelligence, machine learning, and robotics, showcasing her commitment to pushing the boundaries of technological advancement.

Career Highlights: With a background in computer science and engineering, Min Qu has a distinguished career working with top tech companies in Silicon Valley, where she has led teams in developing cutting-edge solutions for complex challenges.

Collaborations: Throughout her career, Min Qu has collaborated with leading researchers and experts in the tech industry, fostering a culture of innovation and knowledge sharing to drive forward progress in the field.

Conclusion: Min Qu's relentless pursuit of innovation and her passion for creating transformative technologies continue to inspire the next generation of inventors and shape the future of technology.

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]