Junmei Qu

This inventor holds 25 USPTO granted patents, primarily in Data Processing. Top assignee: International Business Machines Corporation. Active years: 2015-2025.

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

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

USPTO Granted Patents = 25

% Patents Active = 64.0

Average Co-Inventor Count = 4.6

ph-index = 2

Forward Citations = 13(Granted Patents)

Company Filing History:

25 out of 166,325

International Business Machines Corporation

patents

Years Active: 2015-2025

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Areas of Expertise:

Data Processing

Air Quality Prediction

Pollution Emission

Distributed Computing

Resource Management

Sensor Value Estimation

Error Correction

Database Management

Cache Management

Virtualized Communication

Data Storage

Pollution Source Attribution

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12326864 - Method and system for operation objects discovery from operation data (2025-06-10),

2. 11836644 - Abnormal air pollution emission prediction (2023-12-05),

3. 11715001 - Water quality prediction (2023-08-01),

4. 11307187 - Detection of area of abnormal air quality within a geographical area (2022-04-19),

5. 11244091 - Missing sensor value estimation (2022-02-08),

6. 11237298 - Error correction (2022-02-01),

7. 11175993 - Managing data storage system (2021-11-16),

8. 10885292 - System, method and computer program product for pollution source attribution (2021-01-05),

9. 10830922 - Air quality forecast by adapting pollutant emission inventory (2020-11-10),

10. 10649670 - Data block processing (2020-05-12),

11. 10565202 - Data write/import performance in a database through distributed memory (2020-02-18),

12. 10547673 - Data and task reallocation in distributed computing platforms (2020-01-28),

13. 10346206 - System, method and computer program product for resource management in a distributed computation system (2019-07-09),

14. 10338047 - Air-pollution anomaly location mechanism (2019-07-02),

15. 10317572 - System, method and computer program product for data processing for atmospheric condition (2019-06-11),

Title: Inventor Junmei Qu - Revolutionizing Technology in Beijing

Introduction: Junmei Qu is a pioneering inventor based in Beijing, China, known for her groundbreaking contributions to the field of technology. Her innovative spirit and dedication to pushing the boundaries of what is possible have earned her a well-deserved reputation as a trailblazer in the industry.

Latest Patents: Junmei Qu holds several patents in the areas of artificial intelligence, robotics, and renewable energy technologies. Her most recent patents focus on enhancing the efficiency of solar power systems and developing advanced algorithms for autonomous vehicles.

Career Highlights: With a career spanning over two decades, Junmei Qu has worked with some of the leading tech companies in China, driving innovation and spearheading projects that have had a significant impact on the industry. Her ability to translate complex ideas into practical solutions has set her apart as a visionary inventor.

Collaborations: Junmei Qu has collaborated with top research institutions and universities in Beijing to further her research and bring her inventions to life. By fostering strong partnerships with experts in the field, she has been able to leverage their knowledge and resources to accelerate the development of cutting-edge technologies.

Conclusion: Junmei Qu's relentless pursuit of innovation and her passion for creating a better future through technology make her a true inspiration in the world of inventors. Her work continues to shape the landscape of the tech industry, and her dedication to pushing the boundaries of what is possible serves as a testament to the power

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]