Patents by Inventor Parisa Foroughi

Parisa Foroughi 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).

  • Data-driven identification and selection of features related to a state change of a network component
    Patent number: 11283679
    Abstract: Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For example, using data obtained from the network component around a time of the state change, delta-averages for the counters/features around the time of the state change may be determined. The delta-averages may be utilized to determine which counters/features are most descriptive for a particular state change. Determining which counters/features are most descriptive may also include determining which counters/features are most relevant, i.e., counters/features that contribute most to preserving the manifold structure of the original data or counters/features with the highest or lowest correlation with the other counters/features in the data set.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: March 22, 2022
    Assignee: Cisco Technology, Inc.
    Inventors: Thomas Michel-Ange Feltin, Wenqin Shao, Parisa Foroughi, Frank Brockners
  • Data-driven identification of features related to a state change of a network component
    Patent number: 11115280
    Abstract: Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For example, using data obtained from the network component around a time of the state change, delta averages for the features around the time of the state change may be determined. The delta averages may be utilized to determine which counters/features are most descriptive for a particular state change. The counter/features that are the most descriptive for a particular state change is as important as the change detection itself. This is especially true since in a case of an event/state change occurring, a large amount of counters/features may react to the state change or event. Thus, the techniques described herein provide for an approach to distill which counters/features contribute the most to a particular state change from a data driven perspective.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: September 7, 2021
    Assignee: Cisco Technology, Inc.
    Inventors: Wenqin Shao, Frank Brockners, Parisa Foroughi, Thomas Michel-Ange Feltin
  • DATA-DRIVEN IDENTIFICATION AND SELECTION OF FEATURES RELATED TO A STATE CHANGE OF A NETWORK COMPONENT
    Publication number: 20210092009
    Abstract: Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For example, using data obtained from the network component around a time of the state change, delta-averages for the counters/features around the time of the state change may be determined. The delta-averages may be utilized to determine which counters/features are most descriptive for a particular state change. Determining which counters/features are most descriptive may also include determining which counters/features are most relevant, i.e., counters/features that contribute most to preserving the manifold structure of the original data or counters/features with the highest or lowest correlation with the other counters/features in the data set.
    Type: Application
    Filed: September 14, 2020
    Publication date: March 25, 2021
    Inventors: Thomas Michel-Ange Feltin, Wenqin Shao, Parisa Foroughi, Frank Brockners
  • DATA-DRIVEN IDENTIFICATION OF FEATURES RELATED TO A STATE CHANGE OF A NETWORK COMPONENT
    Publication number: 20210092010
    Abstract: Techniques and mechanisms for automatically identifying counters/features of a network component that are related to a state change (or event) for the network component or for the network itself. For example, using data obtained from the network component around a time of the state change, delta averages for the features around the time of the state change may be determined. The delta averages may be utilized to determine which counters/features are most descriptive for a particular state change. The counter/features that are the most descriptive for a particular state change is as important as the change detection itself. This is especially true since in a case of an event/state change occurring, a large amount of counters/features may react to the state change or event. Thus, the techniques described herein provide for an approach to distill which counters/features contribute the most to a particular state change from a data driven perspective.
    Type: Application
    Filed: February 13, 2020
    Publication date: March 25, 2021
    Inventors: Wenqin Shao, Frank Brockners, Parisa Foroughi, Thomas Michel-Ange Feltin
  • Information handling system housing
    Patent number: D816659
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: May 1, 2018
    Assignee: Dell Products L.P.
    Inventors: Antonio T. Latto, Parisa Foroughi, Joseph E. Jasinski