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For the Inventor, By the Inventor

Reston, VA, United States of America

Ali Reza Manouchehri

This inventor holds 11 USPTO granted patents and 6 published patent applications. Top assignees: Metrostar Systems, Inc., Zoomph, Inc., Other. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ali Reza Manouchehri. Retrieved from https://idiyas.com/inventor/ali-reza-manouchehri

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

USPTO Granted Patents = 11 

% Patents Active = 100.0

Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 16(Granted Patents)


Location History:

  • Reston, VA (US) (2016 - 2023)
  • McLean, VA (US) (2024)

Company Filing History:

goldMedal6 out of 6 
 
Metrostar Systems, Inc.
 patents
silverMedal4 out of 5 
 
Zoomph, Inc.
 patents
bronzeMedal1 out of 834,570 
Other
 patents

Years Active: 2016-2025

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11 patents (USPTO):Explore Patents
1. 12292746 - Adaptive learning approach for a drone (2025-05-06),
2. 12283194 - Drone to drone communication and task assignment (2025-04-21),
3. 12148310 - Mitigation operations for a distressed drone (2024-11-19),
4. 12014640 - Drone to drone communication and task assignment (2024-06-18),
5. 11960283 - Drone authorization and management (2024-04-16),
6. 11636367 - Systems, apparatus, and methods for generating prediction sets based on a known set of features (2023-04-25),
7. 11257000 - Systems, apparatus, and methods for generating prediction sets based on a known set of features (2022-02-22),
8. 10963806 - Systems, apparatus, and methods for generating prediction sets based on a known set of features (2021-03-30),
9. 10157391 - Distributed telecommunication network architecture and database query for audience segmentation and analysis (2018-12-18),
10. 9996800 - Systems, apparatus, and methods for generating prediction sets based on a known set of features (2018-06-12),
11. 9524469 - Systems, apparatus, and methods for generating prediction sets based on a known set of features (2016-12-20),

Title: Exploring the Innovations of Ali Reza Manouchehri

Introduction

Ali Reza Manouchehri is a prominent inventor based in Reston, VA, with an impressive portfolio of 11 patents. His work primarily focuses on advancements in drone technologies, showcasing innovations that improve how drones operate and communicate.

Latest Patents

Among his latest patents, one notable invention is the "Adaptive Learning Approach for a Drone." This method involves identifying the likelihood of an object's presence within a predefined distance of locations that a drone has already explored. By selecting new monitoring actions based on this analysis, the drone can efficiently meet its mission requirements. Another significant patent is "Drone to Drone Communication and Task Assignment." This invention outlines a system where a server receives communications from a drone, determining its activity status and assigning tokens to indicate active drones, thereby enhancing operational efficiency in multi-drone environments.

Career Highlights

Throughout his career, Ali Reza has contributed his expertise to various companies, including Metrostar Systems, Inc. and Zoomph, Inc. His innovative spirit and technical knowledge have played a critical role in developing cutting-edge solutions in the field of drone technology.

Collaborations

Ali has had the pleasure of collaborating with talented individuals such as Thomas Mathew and John William Seaman. These partnerships have undoubtedly enriched his work and have helped propel his innovations further.

Conclusion

Ali Reza Manouchehri stands out as an influential figure in the realm of drone innovations. With a strong foundation of patents and collaborative experiences, his ongoing contributions reflect a commitment to advancing the future of drone technology. His inventions not only enhance operational capabilities but also pave the way for more intelligent and adaptive aerial systems.

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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