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Santa Clara, CA, United States of America

Santa Clara University

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USPTO Granted Patents = 39

% Expired Patents = 5.1

EPO Patents = 5

Forward Citations = 132

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87 inventors (with patents filed for the assignee):

Nam Ling (18 out of 28 patents)

Jianhua Zheng (14 out of 97 patents)

Chen-Xiong Zhang (11 out of 40 patents)

4. Zhouye Gu (9 out of 39 patents)

5. Lingzhi Liu (7 out of 38 patents)

6. Yongxiong Ren (4 out of 19 patents)

7. Ying Liu (4 out of 45 patents)

8. Hohyun Lee (4 out of 4 patents)

9. Ismail Emre Araci (4 out of 13 patents)

10. Guichun Li (3 out of 9 patents)

11. Biao Lu (3 out of 3 patents)

12. Philipp Zhang (3 out of 3 patents)

13. Conary Meyer (2 out of 2 patents)

14. Joseph Losacco (2 out of 2 patents)

15. Zachary Stickney (2 out of 2 patents)

Core Competencies:

Nanovaccines

Microfluidic Pump

Video Compression

Generative Adversarial Network

Neural Network

Blockchain

3D Printed Microneedles

Engineered Exosomes

Thermoelectric Power Generation

Environmental Detection

Smart Water Heater

Solar Tracker

39 patents: Sort by Forward Citations

1. 12651648 - Unified platform for rapid production of nanovaccines with enhanced safety, efficacy and precision (2026-06-09),

2. 12607182 - Strain-actuated microfluidic pump sensor (2026-04-21),

3. 12578215 - Continuous microfluidic dilatometry for physical activity monitoring with ultrahigh sensitivity (2026-03-17),

4. 12530588 - Generative video compression with a transformer-based discriminator (2026-01-20),

5. 12394103 - Class-specific neural network for video compressed sensing (2025-08-19),

6. 12327385 - End-to-end deep generative network for low bitrate image coding (2025-06-10),

7. 12058312 - Generative adversarial network for video compression (2024-08-06),

8. 12051512 - Multimodal cell complex neural networks for prediction of multiple drug side effects severity and frequency (2024-07-30),

9. 11707739 - Continuous microfluidic dilatometry for physical activity monitoring with ultrahigh sensitivity (2023-07-25),

10. 11630658 - Blockchain based secure software updates for IoT devices (2023-04-18),

11. 11481207 - Blockchain based secure software updates for IoT devices (2022-10-25),

12. 11213667 - 3D printed microneedles for microencapsulated mammalian cell extrusion (2022-01-04),

13. 10764577 - Non-MPM mode coding for intra prediction in video coding (2020-09-01),

14. 10758486 - Engineered exosomes for the delivery of bioactive cargo using transmembrane VSV-G (2020-09-01),

15. 10752958 - Identification of microorganisms from genome sequencing data (2020-08-25),

Company Overview

Santa Clara University, located in Santa Clara, California, is a private Jesuit institution known for its commitment to academic excellence and social justice. The university specializes in a diverse range of disciplines, including engineering, business, law, and the liberal arts. It emphasizes experiential learning and research, fostering innovation in areas such as technology, sustainability, and social entrepreneurship. The university's strategic location in Silicon Valley enhances its focus on entrepreneurship and collaboration with industry leaders.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

39 Patents

#90 in Santa Clara, CA

#2,095 in California

#8,835 in US

#17,475 in the World

Santa Clara, CA, United States of America

Santa Clara University

Forward Citations = 132

87 inventors:

Nam Ling (18 out of 28 patents)

Jianhua Zheng (14 out of 97 patents)

Chen-Xiong Zhang (11 out of 40 patents)

4. Zhouye Gu (9 out of 39 patents)

5. Lingzhi Liu (7 out of 38 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Santa Clara University. Retrieved from https://idiyas.com/company/santa-clara-university

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

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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