Patents by Inventor Faayiz Mougamadou NAZIMOUDINE

Faayiz Mougamadou NAZIMOUDINE 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: 12218811
    Abstract: A network management system includes a non-transitory computer readable medium configured to store instructions thereon. The network management system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving first log data from a first component in a network, wherein the first log data includes first log information; and parsing the first log data using a trained neural network to define parsed log data, wherein parsing the first log data includes organizing the first log information into a predefined sequence of information, and the parsed log data includes at least a signal source and a signal message. The processor is configured to execute the instructions for generating a unified model language (UML) diagram based on the parsed log data; and determining whether an error is present in the first component based on the UML diagram.
    Type: Grant
    Filed: March 30, 2023
    Date of Patent: February 4, 2025
    Assignee: RAKUTEN SYMPHONY, INC.
    Inventors: Faayiz Mougamadou Nazimoudine, Sanjay Kumar Ushakoyala, Deepak Kamat, Charulata, Serene Elizabeth Thomas
  • Publication number: 20240333616
    Abstract: A network management system includes a non-transitory computer readable medium configured to store instructions thereon. The network management system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving first log data from a first component in a network, wherein the first log data includes first log information; and parsing the first log data using a trained neural network to define parsed log data, wherein parsing the first log data includes organizing the first log information into a predefined sequence of information, and the parsed log data includes at least a signal source and a signal message. The processor is configured to execute the instructions for generating a unified model language (UML) diagram based on the parsed log data; and determining whether an error is present in the first component based on the UML diagram.
    Type: Application
    Filed: March 30, 2023
    Publication date: October 3, 2024
    Inventors: Faayiz Mougamadou NAZIMOUDINE, Sanjay Kumar USHAKOYALA, Deepak KAMAT, Charulata, Serene Elizabeth THOMAS