Patents by Inventor Sa'di Altamimi

Sa'di Altamimi 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).

  • Creating a global Reinforcement Learning (RL) model from subnetwork RL agents
    Publication number: 20230216747
    Abstract: Methods are provided for recommending actions to improve operability of a network. In one implementation, a method includes acknowledging a plurality of subnetworks in a whole network, each subnetwork including multiple nodes and being represented by a tunnel group having multiple end-to-end tunnels through the subnetwork. The method also includes selecting a first group of subnetworks from the plurality of subnetworks and generating a Reinforcement Learning (RL) agent for each subnetwork of the first group. Each RL agent is based on observations of end-to-end metrics of the end-to-end tunnels of the respective subnetwork. The observations are independent of specific topology information of the subnetwork. Also, the method includes training a global model based on the RL agents of the first group of subnetworks and applying the global model to an Action Recommendation Engine (ARE) configured for recommending actions that can be taken to improve a state of the whole network.
    Type: Application
    Filed: March 9, 2023
    Publication date: July 6, 2023
    Inventors: Christopher Barber, Sa'di Altamimi, Shervin Shirmohammadi, David Côté
  • Action recommendation engine (ARE) for network operations center (NOC) solely from raw un-labeled data
    Patent number: 11637742
    Abstract: Systems, methods, and computer-readable media are provided for recommending actions to be taken in a network for optimizing or improving the operability of the network. A method, according to one implementation, includes a first step of receiving raw, unprocessed data that is obtained directly from one or more network elements of a network. The method includes second step of determining one or more remedial actions using a direct association between the raw, unprocessed data and the one or more remedial actions.
    Type: Grant
    Filed: February 3, 2021
    Date of Patent: April 25, 2023
    Assignee: Ciena Corporation
    Inventors: David Côté, Shervin Shirmohammadi, Shady A. Mohammed, Sa'di Altamimi, Basel Altamimi
  • Action Recommendation Engine (ARE) for Network Operations Center (NOC) solely from raw un-labeled data
    Publication number: 20220247618
    Abstract: Systems, methods, and computer-readable media are provided for recommending actions to be taken in a network for optimizing or improving the operability of the network. A method, according to one implementation, includes a first step of receiving raw, unprocessed data that is obtained directly from one or more network elements of a network. The method includes second step of determining one or more remedial actions using a direct association between the raw, unprocessed data and the one or more remedial actions.
    Type: Application
    Filed: February 3, 2021
    Publication date: August 4, 2022
    Inventors: David Côté, Shervin Shirmohammadi, Shady A. Mohammed, Sa'di Altamimi, Basel Altamimi