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For the Inventor, By the Inventor

Redmond, WA, United States of America

Elnaz Nouri

This inventor holds 16 USPTO granted patents and 13 published patent applications and 2 EPO patents, primarily in Machine Learning Applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elnaz Nouri. Retrieved from https://idiyas.com/inventor/elnaz-nouri

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

Calculating rank
USPTO Granted Patents = 16 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.5

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Seattle, WA (US) (2022 - 2024)
  • Redmond, WA (US) (2022 - 2024)

Company Filing History:

goldMedal16 out of 56,318 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2022-2026

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Areas of Expertise:
User Interaction
Task Management
Heterogeneous Tree Graph
Label Prediction
Cross-Modal Data
Data Compression
Task Templates
Digital Environment
Acoustic Features
Virtual Meeting
Semi-Autonomous
Guided Collaboration
16 patents (USPTO):Explore Patents
1. 12598240 - User interaction and task management using multiple devices (2026-04-07),
2. 12585946 - Heterogeneous tree graph neural network for label prediction (2026-03-24),
3. 12524505 - Cross-modal data completion and compression (2026-01-13),
4. 12475331 - Model capability extraction (2025-11-18),
5. 12380881 - Prompt generation for guided custom machine learning collaboration (2025-08-05),
6. 12216991 - Task templates and social task discovery (2025-02-04),
7. 12153956 - Semi-autonomous intelligent task hub (2024-11-26),
8. 12143235 - Automatically controlling participant indication request for a virtual meeting (2024-11-12),
9. 12093703 - Computer-generated macros and voice invocation techniques (2024-09-17),
10. 12087030 - Saliency-based digital environment adaptation (2024-09-10),
11. 12080286 - Determination of task urgency based on acoustic features of audio data (2024-09-03),
12. 11895214 - User interaction and task management using multiple devices (2024-02-06),
13. 11558212 - Automatically controlling participant indication request for a virtual meeting (2023-01-17),
14. 11438435 - User interaction and task management using multiple devices (2022-09-06),
15. 11416290 - Semi-autonomous intelligent task hub (2022-08-16),

Title: Elnaz Nouri: Innovator in Machine Learning and Task Management

Introduction

Elnaz Nouri is a prominent inventor based in Redmond, WA (US). She has made significant contributions to the field of machine learning and task management, holding a total of 16 patents. Her innovative work focuses on enhancing user interaction with machine learning models, making complex tasks more accessible to non-expert users.

Latest Patents

Among her latest patents, Nouri has developed systems and methods for prompt generation for guided custom machine learning collaboration. This invention involves executing tasks using a machine learning model that generates a set of questions based on user requests. The user interactively answers these questions, allowing the machine learning model to produce task-specific outputs with high accuracy. This approach simplifies the interaction process, enabling users to provide sufficient information without feeling overwhelmed.

Another notable patent is related to task templates and social task discovery. This invention includes a task template catalog that comprises both automatically generated and user-submitted task templates. Users can browse or search the catalog, select a task template, and generate tasks tailored to their needs. This feature enhances task management applications by providing a customizable starting point for users.

Career Highlights

Elnaz Nouri is currently employed at Microsoft Technology Licensing, LLC, where she continues to innovate in the field of technology. Her work has garnered attention for its practical applications and user-centric design.

Collaborations

Nouri collaborates with talented individuals such as Ryen William White and Robert Alexander Sim, contributing to a dynamic work environment that fosters innovation.

Conclusion

Elnaz Nouri's contributions to machine learning and task management exemplify her commitment to making technology more accessible and effective for users. Her innovative patents reflect her expertise and dedication to enhancing user experience in complex 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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