Patents by Inventor Megan HAWKINS

Megan HAWKINS 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).

  • Method and apparatus for implementing a role-based access control clustering machine learning model execution module
    Patent number: 11501257
    Abstract: Various methods, systems, apparatuses, and media for implementing a machine learning model execution module are provided. A processor accesses human resource (HR) attributes and profile information data of users from a database. The processor applies hierarchical clustering algorithm to create a machine learning model by clustering users based on accesses to applications that the users have corresponding to the profile information data of the users. All users in one cluster have the most similar accesses to applications. The processor iterates the process of accessing the HR attributes and the profile information data of the users from the database until it is determined that an optimal number of clusters have been created for the machine learning model.
    Type: Grant
    Filed: December 9, 2019
    Date of Patent: November 15, 2022
    Assignee: JPMORGAN CHASE BANK, N.A.
    Inventors: Laura Schornack, Derek Ferguson, Megan Hawkins, Ryan Evan Porter, Sheev Modi, August Gress, Shreyas Byndoor, Rongzi Wang, Jiamin Zhu, Benjamin Vonderheide
  • METHOD AND APPARATUS FOR IMPLEMENTING A ROLE-BASED ACCESS CONTROL CLUSTERING MACHINE LEARNING MODEL EXECUTION MODULE
    Publication number: 20210174305
    Abstract: Various methods, systems, apparatuses, and media for implementing a machine learning model execution module are provided. A processor accesses human resource (HR) attributes and profile information data of users from a database. The processor applies hierarchical clustering algorithm to create a machine learning model by clustering users based on accesses to applications that the users have corresponding to the profile information data of the users. All users in one cluster have the most similar accesses to applications. The processor iterates the process of accessing the HR attributes and the profile information data of the users from the database until it is determined that an optimal number of clusters have been created for the machine learning model.
    Type: Application
    Filed: December 9, 2019
    Publication date: June 10, 2021
    Applicant: JPMorgan Chase Bank, N.A.
    Inventors: Laura SCHORNACK, Derek FERGUSON, Megan HAWKINS, Ryan Evan PORTER, Sheev MODI, August GRESS, Shreyas BYNDOOR, Rongzi WANG, Jiamin ZHU, Benjamin VONDERHEIDE