Patents by Inventor Christopher J. Cooley

Christopher J. Cooley 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).

  • Systems and methods for automated device activity analysis
    Patent number: 11895133
    Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: February 6, 2024
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Scott Anderson Sims, Jeffrey Brian Bashore, Michael Joseph Carroll, Christopher J. Cooley, Andrew DongHo Kim, Pavan Kumar Reddy Kotlo, Randy J. Nelson, Jennifer Quillen, Lizabeth Rosenberg, Dharmender Kumar Satija, James F. Stevens, Craig Douglas Widmann
  • SYSTEMS AND METHODS FOR AUTOMATED DEVICE ACTIVITY ANALYSIS
    Publication number: 20220321586
    Abstract: Embodiments of the present invention provide an innovative system, method, and computer program product for automated device activity analysis in both a forward and reverse fashion. A collaborative system for receiving data and continuously analyzing the data to determine emerging patterns associated with particular user devices is provided. The system is also designed to generate a historical query of user device touch points or interaction points with entity systems across multiple data vectors, and generate system alerts as patterns or potential issues are identified. Common characteristics of data may be used to detect patterns that are broadened in scope and used in a generative neural network approach.
    Type: Application
    Filed: April 5, 2021
    Publication date: October 6, 2022
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Scott Anderson Sims, Jeffrey Brian Bashore, Michael Joseph Carroll, Christopher J. Cooley, Andrew DongHo Kim, Pavan Kumar Reddy Kotlo, Randy J. Nelson, Jennifer Quillen, Lizabeth Rosenberg, Dharmender Kumar Satija, James F. Stevens, Craig Douglas Widmann