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For the Inventor, By the Inventor

Milpitas, CA, United States of America

Kevin Paul Siegel

This inventor holds 34 USPTO granted patents and 22 published patent applications, plus 1 CIPO patent, primarily in Fraud Risk Management. Top assignees: Visa International Service Association, Visa U.s.a. Inc., Other. Active years: 2000-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kevin Paul Siegel. Retrieved from https://idiyas.com/inventor/kevin-paul-siegel

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

USPTO Granted Patents = 34 

% Patents Active = 91.2


Average Co-Inventor Count = 4.0

ph-index = 17

Forward Citations = 2,672(Granted Patents)


Location History:

  • Fremont, CA (US) (2000 - 2003)
  • Milipitas, CA (US) (2014)
  • Danville, CA (US) (2016)
  • Milpitas, CA (US) (2007 - 2019)
  • Mt. View, CA (US) (2020 - 2021)
  • Mountain View, CA (US) (2013 - 2023)

Company Filing History:

goldMedal23 out of 2,702 
 
Visa International Service Association
 patents
silverMedal10 out of 477 
 
Visa U.s.a. Inc.
 patents
bronzeMedal1 out of 834,570 
Other
 patents

Years Active: 2000-2023

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Areas of Expertise:
Fraud Prevention
Risk Assessment
Predictive Modeling
Transaction Processing
Consumer Sentiment
Real Time Analytics
Targeted Advertisements
Transaction Data
Financial Risk Prediction
Dynamic Network Analytics
Consumer Transaction History
Large-Scale Testing
34 patents (USPTO):Explore Patents
1. 11775976 - Merchant fraud risk score (2023-10-03),
2. 11132686 - Merchant fraud risk score (2021-09-28),
3. 10902430 - Systems and methods for large-scale testing activities discovery (2021-01-26),
4. 10580005 - Method and system for providing risk information in connection with transaction processing (2020-03-03),
5. 10423962 - Pre-authorization of a transaction using predictive modeling (2019-09-24),
6. 10140616 - Risk assessment rule set application for fraud prevention (2018-11-27),
7. 10134040 - Systems and methods for large-scale testing activities discovery (2018-11-20),
8. 9984379 - Determining targeted incentives based on consumer transaction history (2018-05-29),
9. 9898741 - Real time analytics system (2018-02-20),
10. 9842336 - Risk assessment rule set application for fraud prevention (2017-12-12),
11. 9785944 - Method and system for providing risk information in connection with transaction processing (2017-10-10),
12. 9773246 - Pre-authorization of a transaction using predictive modeling (2017-09-26),
13. 9727868 - Determining targeted incentives based on consumer transaction history (2017-08-08),
14. 9489674 - Frequency-based transaction prediction and processing (2016-11-08),
15. 9384493 - Systems and methods to quantify consumer sentiment based on transaction data (2016-07-05),

Title: Kevin Paul Siegel - Innovative Inventor from Milpitas, CA

Introduction: Kevin Paul Siegel is a renowned inventor based in Milpitas, California, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Kevin Paul Siegel holds several patents in the areas of software development, artificial intelligence, and consumer electronics, showcasing his diverse range of expertise and creativity.

Career Highlights: With a career spanning over two decades, Kevin Paul Siegel has worked with leading tech companies, spearheading projects that have revolutionized the industry. His innovative solutions have earned him recognition as a pioneer in his field.

Collaborations: Throughout his career, Kevin Paul Siegel has collaborated with top researchers, engineers, and designers to bring cutting-edge products to the market. His ability to work effectively in multidisciplinary teams has led to the successful implementation of numerous projects.

Conclusion: Kevin Paul Siegel's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors. His impact on the tech industry is undeniable, and his legacy as a visionary inventor is sure to endure for years to come.

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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