Patents by Inventor Charlotte Shabarekh

Charlotte Shabarekh 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).

  • Systems and methods for network pattern matching
    Patent number: 11627048
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Grant
    Filed: February 20, 2018
    Date of Patent: April 11, 2023
    Assignee: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • SYSTEMS AND METHODS FOR NETWORK PATTERN MATCHING
    Publication number: 20180212834
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Application
    Filed: February 20, 2018
    Publication date: July 26, 2018
    Applicant: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • Systems and methods for network pattern matching
    Patent number: 9917739
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Grant
    Filed: December 31, 2012
    Date of Patent: March 13, 2018
    Assignee: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
  • SYSTEMS AND METHODS FOR NETWORK PATTERN MATCHING
    Publication number: 20150049634
    Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.
    Type: Application
    Filed: December 31, 2012
    Publication date: February 19, 2015
    Applicant: Aptima, Inc.
    Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh