Patents by Inventor Valeriy Liberman

Valeriy Liberman has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240020480
    Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.
    Type: Application
    Filed: September 27, 2023
    Publication date: January 18, 2024
    Inventors: Spencer Sharpe, Annie Ibrahim Rana, Valeriy Liberman, Michael Arnold, Kyle Michael Caulfield, James Cogley, Lisa Epstein, Tricia Sheehan, Rashid Mehdiyev, Saurav Acharya
  • Patent number: 11783132
    Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: October 10, 2023
    Assignee: UL LLC
    Inventors: Spencer Sharpe, Annie Ibrahim Rana, Valeriy Liberman, Michael Arnold, Kyle Michael Caulfield, James Cogley, Lisa Epstein, Tricia Sheehan, Rashid Mehdiyev, Saurav Acharya
  • Publication number: 20230206251
    Abstract: Systems and methods for using machine learning to dynamically assess performance of products and suppliers in the marketplace are disclosed. According to certain aspects, an electronic device may train a plurality of intermediate machine learning models and an aggregate machine learning model using various marketplace data associated with products and suppliers. The electronic device may analyze information associated with a given product or a given supplier using the trained machine learning models to predict a performance of the product or supplier, as well as determine various recommendations associated with the design, testing, inspection, and/or distribution of products.
    Type: Application
    Filed: December 20, 2022
    Publication date: June 29, 2023
    Inventors: Saurav Acharya, Yizi Huang, Shubhankar Mitra, Karan Sodhi, Rashid Mehdiyev, Valeriy Liberman, Nida Batt, Paul Ter Horst, Annie Ibrahim Rana
  • Patent number: 11475493
    Abstract: Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.
    Type: Grant
    Filed: December 11, 2019
    Date of Patent: October 18, 2022
    Assignee: UL LLC
    Inventors: Saurav Acharya, Lisa Epstein, Valeriy Liberman, Rashid Mehdiyev, Annie Ibrahim Rana, Spencer Sharpe, Michael Arnold
  • Publication number: 20210182926
    Abstract: Systems and methods for dynamically determining potentially applicability of product regulation updates to product profiles. According to certain aspects, an electronic device may access new or updated product regulation updates for various jurisdictions as well as product profiles associated with certain products. The electronic device may employ various data analysis technologies to determine which product regulation updates are potentially applicable to which product profiles. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, make selections, and interface and integrate with external systems to exchange information and insights.
    Type: Application
    Filed: December 11, 2019
    Publication date: June 17, 2021
    Inventors: Saurav Acharya, Lisa Epstein, Valeriy Liberman, Rashid Mehdiyev, Annie Ibrahim Rana, Spencer Sharpe
  • Publication number: 20210117621
    Abstract: Systems and methods for dynamically generating object models corresponding to regulations. According to certain aspects, a server computer may access a regulation and automatically generate a summary of the regulation based on a specific set of sentences. The server computer may additionally determine a set of topics and named-entity attributes for text within a regulation object model, as well as a probability that a topic or attribute is applicable to the regulation. Further, the server computer may generate and enrich object models according to the various analyses and avail the enriched object models for review by entities and users of regulatory compliance services.
    Type: Application
    Filed: October 16, 2020
    Publication date: April 22, 2021
    Inventors: Spencer Sharpe, Annie Ibrahim Rana, Valeriy Liberman, Michael Arnold, Kyle Michael Caulfield, James Cogley, Lisa Epstein, Tricia Sheehan, Rashid Mehdiyev, Saurav Acharya