Patents by Inventor Sueha Elmir Salame

Sueha Elmir Salame 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).

  • Predictive methodology to identify potential unknown sweet spots
    Patent number: 11797871
    Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.
    Type: Grant
    Filed: November 22, 2022
    Date of Patent: October 24, 2023
    Assignee: Ford Global Technologies, LLC
    Inventors: Hossein Jacob Sadri, Steven Torey, Stephen Juszczyk, Lance David Marsac, Sueha Elmir Salame
  • PREDICTIVE METHODOLOGY TO IDENTIFY POTENTIAL UNKNOWN SWEET SPOTS
    Publication number: 20230089283
    Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.
    Type: Application
    Filed: November 22, 2022
    Publication date: March 23, 2023
    Applicant: Ford Global Technologies, LLC
    Inventors: Hossein Jacob Sadri, Steven Torey, Stephen Juszczyk, Lance David Marsac, Sueha Elmir Salame
  • Predictive methodology to identify potential unknown sweet spots
    Patent number: 11537923
    Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: December 27, 2022
    Assignee: Ford Global Technologies, LLC
    Inventors: Hossein Jacob Sadri, Steven Torey, Stephen Juszczyk, Lance David Marsac, Sueha Elmir Salame
  • PREDICTIVE METHODOLOGY TO IDENTIFY POTENTIAL UNKNOWN SWEET SPOTS
    Publication number: 20210241154
    Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.
    Type: Application
    Filed: February 4, 2020
    Publication date: August 5, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: Hossein Jacob Sadri, Steven Torey, Stephen Juszczyk, Lance David Marsac, Sueha Elmir Salame