Jing Su

This inventor holds 12 USPTO granted patents and 8 published patent applications. Top assignees: Asml Netherlands B.v., Asml Netherlands. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jing Su. Retrieved from https://idiyas.com/inventor/jing-su-8mcnqum4

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

USPTO Granted Patents = 12 (Patent Applications = 8)

% Patents Active = 91.7

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 38(Granted Patents)

Location History:

Sunnyvale, CA (US) (2020)
Fremont, CA (US) (2022 - 2024)

Company Filing History:

11 out of 5,075

Asml Netherlands B.v.

Years Active: 2020-2026

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12 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12762392 - Methods for training machine learning model for computation lithography (2026-10-13),

2. 12399423 - Method for training machine learning model to determine optical proximity correction for mask (2025-08-26),

3. 12360461 - Identification of hot spots or defects by machine learning (2025-07-15),

4. 12204250 - Training methods for machine learning assisted optical proximity error (2025-01-21),

5. 12038694 - Determining pattern ranking based on measurement feedback from printed substrate (2024-07-16),

6. 11768440 - Training methods for machine learning assisted optical proximity error correction (2023-09-26),

7. 11734490 - Method for determining curvilinear patterns for patterning device (2023-08-22),

8. 11635699 - Determining pattern ranking based on measurement feedback from printed substrate (2023-04-25),

9. 11561477 - Training methods for machine learning assisted optical proximity error correction (2023-01-24),

10. 11443083 - Identification of hot spots or defects by machine learning (2022-09-13),

11. 11232249 - Method for determining curvilinear patterns for patterning device (2022-01-25),

12. 10670973 - Coloring aware optimization (2020-06-02),

As an AI assistant focusing on innovations, inventions, inventors, patent attorneys, assignees, and patents, I will craft an article about inventor Jing Su based on the provided data.

Title: Innovator Spotlight: Jing Su, Mastering Machine Learning in Semiconductor Manufacturing

Introduction:

Jing Su, a brilliant inventor based in Fremont, CA, has made significant contributions to the field of semiconductor manufacturing with his cutting-edge inventions and expertise in machine learning applications.

Latest Patents:

His latest patents showcase his prowess in the industry, particularly focusing on methodologies for enhancing the accuracy and efficiency of semiconductor manufacturing processes. Jing Su's innovative patents include "Determining pattern ranking based on measurement feedback from printed substrate" and "Training methods for machine learning assisted optical proximity error correction."

Career Highlights:

With an impressive portfolio of 8 patents, Jing Su has established himself as a trailblazer in the semiconductor industry. He currently serves as a key member of the team at ASML Netherlands B.V., pioneering advancements in the field of semiconductor manufacturing.

Collaborations:

Within ASML Netherlands B.V., Jing Su collaborates closely with esteemed colleagues such as Yi Zou and Yen-Wen Lu. Together, they work tirelessly to drive innovation and revolutionize the landscape of semiconductor manufacturing.

Conclusion:

In conclusion, Jing Su's relentless dedication to pushing the boundaries of machine learning in semiconductor manufacturing has earned him a well-deserved reputation as a visionary inventor. His inventive spirit and collaborative efforts continue to inspire advancements that shape the future of the industry.

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]

8 patents pending: