For the Inventor, By the Inventor

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Pittsburgh, PA, United States of America

Carnegie Mellon University

Calculating rank

USPTO Granted Patents = 1,194

% Expired Patents = 12.1

CIPO Patents = 18

EPO Patents = 113

Trademarks = 39

Forward Citations = 28,925

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1,737 inventors (with patents filed for the assignee):

Krzysztof A Matyjaszewski (61 out of 69 patents)

Marios Savvides (48 out of 54 patents)

Alan S Waggoner (37 out of 37 patents)

4. Herman Herman (28 out of 46 patents)

5. Takeo Kanade (28 out of 42 patents)

6. Carmel Majidi (27 out of 39 patents)

7. Lee E Weiss (25 out of 37 patents)

8. Gary Keith Fedder (23 out of 25 patents)

9. Christopher Harrison (22 out of 41 patents)

10. Brett Zubiate (21 out of 32 patents)

11. Ratnakar B Mujumdar (19 out of 19 patents)

12. Danith H Ly (18 out of 24 patents)

13. O Burak Ozdoganlar (17 out of 18 patents)

14. Metin Sitti (16 out of 28 patents)

15. Amir Degani (16 out of 18 patents)

Core Competencies:

Haptic Rendering

Semantic Navigation

Neural Interfaces

Biomaterials

3D Printing

Medical Imaging

Object Detection

Machine Learning

Traffic Management

Data Processing

Electrochemical Synthesis

Localization Systems

1,194 patents: Sort by Forward Citations

1. 12785655 - Overmoded bulk acoustic resonators and method of fabricating (2026-11-03),

2. 12783904 - Fine-tuning strategy for few shot learning (2026-11-03),

3. 12783635 - System and method for providing provable end-to-end guarantees on commodity heterogeneous interconnected computing platforms (2026-11-03),

4. 12783053 - System and method for an interaction surface with shape-changing tactile elements (2026-11-03),

5. 12776125 - System and method for multiview product detection and recognition (2026-10-27),

6. 12770356 - System and method for direct diagnostic and prognostic semantic segmentation of images (2026-10-20),

7. 12763267 - 3D-printed micro-supercapacitors and methods for fabricating the same (2026-10-13),

8. 12755450 - Systems and methods for generating creative sketches using models guided by sketches and text (2026-10-06),

9. 12755421 - Multi-person 3D pose estimation (2026-10-06),

10. 12754311 - Radar super resolution (2026-10-06),

11. 12752492 - Additive manufacturing based on fluid-fluid interface (2026-10-06),

12. 12751699 - Sampling swabs and methods of making the same (2026-10-06),

13. 12749579 - Methods of automatically generating formatted annotations of doctor-patient conversations (2026-09-29),

14. 12736397 - System, method, and computer program product for optical vibration sensing (2026-09-15),

15. 12731406 - System and method for the automatic detection of openly-carried firearms (2026-09-08),

Company Overview

Carnegie Mellon University, located in Pittsburgh, PA, is a leading institution renowned for its innovative research and development in various technological fields. The university specializes in haptic rendering, which enhances user interaction through tactile feedback, alongside advancements in semantic navigation and neural interfaces. Its research extends to biomaterials, 3D printing, medical imaging, object detection, and machine learning, positioning CMU at the forefront of interdisciplinary technology and engineering education.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 3 2026

1,194 Patents

#5 in Pittsburgh, PA

#24 in Pennsylvania

#433 in US

#862 in the World

Pittsburgh, PA, United States of America

Carnegie Mellon University

Forward Citations = 28,925

1,737 inventors:

Krzysztof A Matyjaszewski (61 out of 69 patents)

Marios Savvides (48 out of 54 patents)

Alan S Waggoner (37 out of 37 patents)

4. Herman Herman (28 out of 46 patents)

5. Takeo Kanade (28 out of 42 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Carnegie Mellon University. Retrieved from https://idiyas.com/company/carnegie-mellon-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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