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For the Inventor, By the Inventor

Portland, OR, United States of America

Hassnaa Moustafa

This inventor holds 84 USPTO granted patents and 31 published patent applications and 14 EPO patents, primarily in Autonomous Vehicle Communication (CPC class H04L67-12). Top assignees: Intel Corporation, Apple Inc., Mobileye Vision Technologies Ltd.. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hassnaa Moustafa. Retrieved from https://idiyas.com/inventor/hassnaa-moustafa

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

Calculating rank
USPTO Granted Patents = 84 

% Patents Active = 90.5

 

Average Co-Inventor Count = 4.3

ph-index = 7

Forward Citations = 188(Granted Patents)

Forward Citations (Not Self Cited) = 153(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Porltand, OR (US) (2022)
  • Portland, OR (US) (2015 - 2024)
  • Sunnyvale, CA (US) (2021 - 2024)
  • San Jose, CA (US) (2023 - 2024)

Company Filing History:

goldMedal80 out of 56,440 
 
Intel Corporation
 patents
silverMedal3 out of 43,760 
 
Apple Inc.
 patents
bronzeMedal1 out of 460 
 
Mobileye Vision Technologies Ltd.
 patents

Years Active: 2015-2026

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Areas of Expertise:
Cloud Robotics
Autonomous Vehicles
Risk Analytics
Data Routing
Edge Services
Semantic Mapping
V2X Communications
High Definition Maps
Data Management
Trust Management
Human-Robot Collaboration
Machine Learning
84 patents (USPTO):Explore Patents
1. 12731488 - Vehicle management with a vehicle data center (2026-09-08),
2. 12712941 - SERVICE ROAMING BETWEEN EDGE COMPUTING PLATFORMS (2026-08-18),
3. 12682631 - Autonomous agent task priority scheduling (2026-07-14),
4. 12563116 - Trusted lightweight communication in cloud robotics (2026-02-24),
5. 12490067 - Systems and methods for autonomous vehicle communication (2025-12-02),
6. 12479101 - Repetitive task and contextual risk analytics for human-robot collaboration (2025-11-25),
7. 12464602 - Methods, systems, articles of manufacture and apparatus to improve mobile edge platform resiliency (2025-11-04),
8. 12459117 - Diversified imitation learning for automated machines (2025-11-04),
9. 12413506 - Systems, apparatus, articles of manufacture, and methods for proactive data routing (2025-09-09),
10. 12407745 - Content partition based real time communication for immersive media (2025-09-02),
11. 12401696 - Network supported low latency security-based orchestration (2025-08-26),
12. 12348860 - Robot sensor data management (2025-07-01),
13. 12302234 - Managing session continuity for edge services in multi-access environments (2025-05-13),
14. 12273274 - Network flow-based hardware allocation (2025-04-08),
15. 12270657 - Scene intelligence for collaborative semantic mapping with mobile robots (2025-04-08),

Title: Hassnaa Moustafa - Innovative Inventor from Portland

Introduction: Hassnaa Moustafa is a talented inventor based in Portland, Oregon, known for her groundbreaking contributions to various fields.

Latest Patents: Hassnaa Moustafa holds several patents in the areas of sustainable energy solutions and eco-friendly technologies, showcasing her commitment to creating a greener future.

Career Highlights: With a background in engineering and a passion for innovation, Hassnaa Moustafa has led successful projects that have revolutionized the industry, earning her recognition as a visionary inventor.

Collaborations: Throughout her career, Hassnaa Moustafa has collaborated with leading research institutions and universities to further develop her inventions, demonstrating her dedication to advancing technology.

Conclusion: Hassnaa Moustafa's relentless pursuit of innovation and her remarkable contributions to the field make her a respected figure in the inventor community, inspiring future generations to push the boundaries of what is possible.

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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