Patents by Inventor Ayesha Farha AmeerHamza

Ayesha Farha AmeerHamza 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).

  • Patent number: 11546415
    Abstract: Systems, methods and apparatus are provided for an intelligent server platform using genetic algorithms to execute a server migration based on fitness. The platform may locate hardware and software artifacts and map functional relationships between artifacts. Artifacts may be clustered based on interdependency to ensure that functionally related artifacts are migrated as a unit. The platform may apply a fitness protocol to generate a fitness score for each cluster and select clusters based on fitness score. The platform may apply a crossover protocol to optimize selected clusters for compliance with enterprise standards. The platform may iterate through the crossover protocol and modify a convergence goal based on populations of successive generations. The platform may rank artifacts and generate a protocol for migration. The platform may execute the migration in accordance with the migration protocol.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: January 3, 2023
    Assignee: Bank of America Corporation
    Inventors: Madhusudhanan Krishnamoorthy, Abhiraam Venkatesan, Ayesha Farha AmeerHamza
  • Patent number: 11379748
    Abstract: Systems, computer program products, and methods are described herein for dynamically determining performance benchmarking parameters based on reinforcement learning.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: July 5, 2022
    Assignee: BANK OF AMERICA CORPORATION
    Inventors: Madhusudhanan Krishnamoorthy, Ayesha Farha AmeerHamza, Abhiraam Venkatesan
  • Publication number: 20220006853
    Abstract: Systems, methods and apparatus are provided for an intelligent server platform using genetic algorithms to execute a server migration based on fitness. The platform may locate hardware and software artifacts and map functional relationships between artifacts. Artifacts may be clustered based on interdependency to ensure that functionally related artifacts are migrated as a unit. The platform may apply a fitness protocol to generate a fitness score for each cluster and select clusters based on fitness score. The platform may apply a crossover protocol to optimize selected clusters for compliance with enterprise standards. The platform may iterate through the crossover protocol and modify a convergence goal based on populations of successive generations. The platform may rank artifacts and generate a protocol for migration. The platform may execute the migration in accordance with the migration protocol.
    Type: Application
    Filed: July 2, 2020
    Publication date: January 6, 2022
    Inventors: Madhusudhanan Krishnamoorthy, Abhiraam Venkatesan, Ayesha Farha AmeerHamza
  • Publication number: 20210390438
    Abstract: Systems, computer program products, and methods are described herein for dynamically determining performance benchmarking parameters based on reinforcement learning.
    Type: Application
    Filed: June 15, 2020
    Publication date: December 16, 2021
    Applicant: BANK OF AMERICA CORPORATION
    Inventors: Madhusudhanan Krishnamoorthy, Ayesha Farha AmeerHamza, Abhiraam Venkatesan