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For the Inventor, By the Inventor

Calabasas, CA, United States of America

Soheil Kolouri

This inventor holds 34 USPTO granted patents and 4 published patent applications and 2 EPO patents, primarily in Machine Learning. Top assignees: Hrl Laboratories, LLC, The Boeing Company. Active years: 2020-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Soheil Kolouri. Retrieved from https://idiyas.com/inventor/soheil-kolouri

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 = 97.1

 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 32(Granted Patents)


Location History:

  • Calabasas, CA (US) (2020 - 2023)
  • Agoura Hills, CA (US) (2020 - 2024)

Company Filing History:

goldMedal28 out of 2,107 
 
Hrl Laboratories, LLC
 patents
silverMedal6 out of 23,055 
 
The Boeing Company
 patents

Years Active: 2020-2025

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Areas of Expertise:
Few-Shot Learning
Neural Networks
Synthetic Aperture Radar
Adversarial Attacks
Unsupervised Learning
Object Detection
Domain Adaptation
Image Classification
Experience Replay
Audio Classification
Context Change Detection
Multi-Agent Prediction
34 patents (USPTO):Explore Patents
1. 12468949 - Systems and methods for few-shot transfer learning (2025-11-11),
2. 12373706 - Systems and methods for unsupervised continual learning (2025-07-29),
3. 12259466 - System for extraction of a region of interest (ROI) from a composite synthetic aperture radar (SAR) system phase history (2025-03-25),
4. 12216198 - Complex recurrent neural network for Synthetic Aperture Radar (SAR) target recognition (2025-02-04),
5. 12092732 - Synthetic aperture radar classifier neural network (2024-09-17),
6. 12008079 - Process to make machine object detection robust to adversarial attacks (2024-06-11),
7. 11791018 - System and method for discovering chemically active compounds of a molecule (2023-10-17),
8. 11645544 - System and method for continual learning using experience replay (2023-05-09),
9. 11625557 - Process to learn new image classes without labels (2023-04-11),
10. 11620527 - Domain adaption learning system (2023-04-04),
11. 11574679 - Neuromorphic memory circuit and method of neurogenesis for an artificial neural network (2023-02-07),
12. 11550914 - System and method for detecting backdoor attacks in convolutional neural networks (2023-01-10),
13. 11494486 - Continuously habituating elicitation strategies for social-engineering-attacks (CHESS) (2022-11-08),
14. 11448753 - System and method for transferring electro-optical (EO) knowledge for synthetic-aperture-radar (SAR)-based object detection (2022-09-20),
15. 11333753 - Stripmap synthetic aperture radar (SAR) system utilizing direct matching and registration in range profile space (2022-05-17),

Title: Inventor Soheil Kolouri: Pioneering Innovations in Calabasas

Introduction: Soheil Kolouri is a distinguished inventor based in Calabasas, California, known for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Soheil Kolouri holds several patents in the areas of artificial intelligence, machine learning, and computer vision, showcasing his expertise in cutting-edge technologies.

Career Highlights: With a background in computer science and engineering, Soheil Kolouri has had a successful career marked by a series of innovative projects and research endeavors that have pushed the boundaries of technological advancements.

Collaborations: Throughout his career, Soheil Kolouri has collaborated with leading tech companies, research institutions, and universities to further develop and implement his innovative ideas, fostering a culture of creativity and progress in the industry.

Conclusion: Soheil Kolouri's passion for innovation and his relentless pursuit of technological excellence continue to inspire the next generation of inventors and researchers, solidifying his legacy as a visionary in the field of technology.

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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