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For the Inventor, By the Inventor

San Jose, CA, United States of America

Michael Rinehart

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This inventor holds 14 USPTO granted patents and 5 published patent applications, primarily in Data Security Analysis. Top assignees: Securiti, Inc., Myolex Inc., Ford Global Technolgoies, LLC. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael Rinehart. Retrieved from https://idiyas.com/inventor/michael-rinehart

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

Calculating rank
USPTO Granted Patents = 14 

% Patents Active = 100.0

Average Co-Inventor Count = 3.5

ph-index = 4

Forward Citations = 80(Granted Patents)


Location History:

  • Quincy, MA (US) (2013 - 2015)
  • San Jose, CA (US) (2015 - 2022)
  • Pleasanton, CA (US) (2023)

Company Filing History:

goldMedal4 out of 4 
 
Securiti, Inc.
 patents
silverMedal3 out of 4 
 
Myolex Inc.
 patents
bronzeMedal2 out of 26,733 
 
Ford Global Technolgoies, LLC
 patents
4. 2 out of 8,600 
 
Massachusetts Institute of Technology
 patents
5. 2 out of 2 
 
Skulpt, Inc.
 patents
6. 1 out of 191 
 
Nortonlifelock Inc.
 patents
7. 1 out of 6,867 
 
Verizon Patent and Licensing Inc.
 patents
8. 1 out of 834,601 
Other
 patents
where one patent can have more than one assignee

Years Active: 2013-2026

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Areas of Expertise:
Data Breach Analysis
Sensitive Data Classification
Exemplar Learning
Entity Resolution
Honeypot Files
Electrical Impedance Myography
High Performance Sensors
Quality of Service Optimization
Tissue Measurement
Hybrid Electric Vehicles
Battery Control
14 patents (USPTO):Explore Patents
1. 12762285 - System and method to analyse impact of data breaches on sensitive data (2026-10-13),
2. 12602538 - Method and system for exemplar learning for templatizing documents across data sources (2026-04-14),
3. 12216618 - System and a method for the classification of sensitive data elements in a file (2025-02-04),
4. 12105845 - System and method for entity resolution of a data element (2024-10-01),
5. 11775592 - System and method for association of data elements within a document (2023-10-03),
6. 11246503 - Advanced electronic instrumentation for electrical impedance myography (2022-02-15),
7. 11032319 - Systems and methods for preparing honeypot computer files (2021-06-08),
8. 11006849 - High performance sensors for electrical impedance myography (2021-05-18),
9. 9861293 - Sensors, including disposable sensors, for measuring tissue (2018-01-09),
10. 9545915 - Electric vehicle and method of battery set-point control (2017-01-17),
11. 9219658 - Quality of service optimization management tool (2015-12-22),
12. 9113808 - Systems, methods, and sensors for measuring tissue (2015-08-25),
13. 8892198 - Devices and methods for evaluating tissue (2014-11-18),
14. 8612077 - Hybrid electric vehicle and method of path dependent receding horizon control (2013-12-17),

Title: The Inventor Michael Rinehart: Revolutionizing Technology in San Jose

Introduction: Michael Rinehart is a visionary inventor based in San Jose, California, known for his groundbreaking contributions to the field of technology.

Latest Patents: Michael Rinehart holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies.

Career Highlights: With a career spanning over two decades, Michael Rinehart has worked with leading tech companies, research institutions, and universities to develop cutting-edge solutions that have reshaped the industry.

Collaborations: Throughout his career, Michael Rinehart has collaborated with top engineers, scientists, and researchers to bring his innovative ideas to life, resulting in successful products and technologies that have had a significant impact on the market.

Conclusion: Michael Rinehart's passion for innovation and his relentless pursuit of excellence continue to drive him towards creating a future where technology plays a transformative role in society.

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]
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