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For the Inventor, By the Inventor

College Park, MD, United States of America

Abhilasha Sancheti

This inventor holds 10 USPTO granted patents and 3 published patent applications. Top assignee: Adobe, Inc.. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Abhilasha Sancheti. Retrieved from https://idiyas.com/inventor/abhilasha-sancheti

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

USPTO Granted Patents = 10 

% Patents Active = 80.0

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 61(Granted Patents)


Location History:

  • Assam, IN (2020)
  • Bengaluru, IN (2021 - 2023)
  • College Park, GA (US) (2023)
  • College Park, MD (US) (2022 - 2024)

Company Filing History:

goldMedal10 out of 7,289 
 
Adobe, Inc.
 patents

Years Active: 2020-2026

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10 patents (USPTO):Explore Patents
1. 12762326 - Generating and utilizing models for long-range event relation extraction (2026-10-13),
2. 12626069 - Image description generation with varying levels of detail (2026-05-12),
3. 11948095 - Method and system for recommending digital content (2024-04-02),
4. 11741190 - Multi-dimensional language style transfer (2023-08-29),
5. 11714972 - Systems and methods for transferring stylistic expression in machine translation of sequence data (2023-08-01),
6. 11487971 - Multi-dimensional language style transfer (2022-11-01),
7. 11322133 - Expressive text-to-speech utilizing contextual word-level style tokens (2022-05-03),
8. 11210477 - Systems and methods for transferring stylistic expression in machine translation of sequence data (2021-12-28),
9. 10915577 - Constructing enterprise-specific knowledge graphs (2021-02-09),
10. 10846617 - Context-aware recommendation system for analysts (2020-11-24),

Title: Abhilasha Sancheti: Innovator in Digital Content and Image Processing

Introduction

Abhilasha Sancheti is a prominent inventor based in College Park, MD (US). She has made significant contributions to the fields of digital content recommendation and image processing. With a total of 10 patents to her name, her work showcases her innovative spirit and technical expertise.

Latest Patents

One of her latest patents is focused on image description generation with varying levels of detail. This invention involves obtaining an image and a detail level, which indicates the level of detail for a description of the image. The method utilizes a machine learning model to identify regions within the image based on the detail level, ultimately generating a description that reflects the specified amount of detail.

Another notable patent is a method and system for recommending digital content. This invention determines user preferences and a time horizon for a given user. It identifies a group based on these preferences and assesses the number of users and their similarities. The selected model then determines the digital content to recommend, enhancing user experience through personalized suggestions.

Career Highlights

Abhilasha Sancheti is currently employed at Adobe, Inc., where she continues to push the boundaries of innovation in technology. Her work at Adobe has allowed her to collaborate with other talented individuals in the field, contributing to the development of cutting-edge solutions.

Collaborations

Some of her notable coworkers include Balaji Vasan Srinivasan and Anandha Velu Natarajan. Their collaborative efforts have further enriched the projects they work on, fostering an environment of creativity and innovation.

Conclusion

Abhilasha Sancheti is a remarkable inventor whose contributions to digital content and image processing are noteworthy. Her patents reflect her dedication to advancing technology and improving user experiences. Her work at Adobe, along with her collaborations, positions her as a key player in the innovation landscape.

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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