For the Inventor, By the Inventor

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McLean, VA, United States of America

Booz Allen Hamilton Inc.

USPTO Granted Patents = 131

CIPO Patents = 1

EPO Patents = 8

Trademarks = 21

Forward Citations = 643

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209 inventors (with patents filed for the assignee):

Joshua Peters (35 out of 35 patents)

Igor Vaisman (35 out of 54 patents)

James J Ter Beest (10 out of 10 patents)

4. Andre Tai Nguyen (8 out of 8 patents)

5. Gary Jason Myers (7 out of 7 patents)

6. Matthias Welsh (7 out of 7 patents)

7. James A Davis (6 out of 7 patents)

8. Keith A Blanks (6 out of 6 patents)

9. Evan Montgomery-Recht (5 out of 5 patents)

10. Timothy A Schaefer (5 out of 23 patents)

11. Robert Wayne Knight (5 out of 6 patents)

12. Arash Rahnama-Moghaddam (4 out of 4 patents)

13. Jacob Swain (4 out of 4 patents)

14. Edward Simon Paster Raff (4 out of 4 patents)

15. Edward Raff (3 out of 3 patents)

Core Competencies:

Network Penetration Testing

Anomaly Detection

Machine Learning

Cyber-Threat Defense

Thermal Management

Digital Steganography

Neural Networks

Sensor Localization

Data Drift Detection

Automated Exploitation

Trust Metrics

Acoustic Lens Communication

131 patents: Sort by Forward Citations

1. 12762713 - Object and swarm detection, tracking, and characterization system (2026-10-13),

2. 12626490 - Cross-modal manifold alignment across different data domains (2026-05-12),

3. 12626345 - F-stat statistical detection of digital image tampering (2026-05-12),

4. 12580942 - System and method for network penetration testing (2026-03-17),

5. 12574360 - System and method using genetic algorithms for anomaly detection in a mobile network (2026-03-10),

6. 12490149 - Multi-mode scanning system using robust communications path (2025-12-02),

7. 12468806 - System and method for converting antivirus scan to a feature vector (2025-11-11),

8. 12468006 - Method for detection and geolocation of target device in 3D space (2025-11-11),

9. 12437082 - System and method for automated exploitation generation (2025-10-07),

10. 12406037 - System and method for digital steganography purification (2025-09-02),

11. 12283787 - Modular compact high energy laser system (2025-04-21),

12. 12265932 - System and method for assessing an operating condition of an asset (2025-04-01),

13. 12256172 - Advanced manufacturing technologies and machine learning in unmanned aviation systems (2025-03-18),

14. 12061678 - System and method for watermarking a machine learning model (2024-08-13),

15. 12058146 - Systems and methods for generating trust metrics for sensor data (2024-08-06),

Company Overview

Booz Allen Hamilton Inc., headquartered in McLean, VA, specializes in network security, focusing on advanced technologies to safeguard digital environments. The company excels in areas such as network penetration testing, anomaly detection, and cyber-threat defense, leveraging machine learning and neural networks to enhance security measures. Additionally, Booz Allen explores innovative solutions in thermal management and digital steganography, positioning itself as a leader in the evolving landscape of cybersecurity and technology-driven defense strategies.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

131 Patents

#7 in McLean, VA

#47 in Virginia

#2,960 in US

#6,138 in the World

McLean, VA, United States of America

Booz Allen Hamilton Inc.

Forward Citations = 643

209 inventors:

Joshua Peters (35 out of 35 patents)

Igor Vaisman (35 out of 54 patents)

James J Ter Beest (10 out of 10 patents)

4. Andre Tai Nguyen (8 out of 8 patents)

5. Gary Jason Myers (7 out of 7 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Booz Allen Hamilton Inc.. Retrieved from https://idiyas.com/company/booz-allen-hamilton

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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