Patents by Inventor Apostolos TOPALIS

Apostolos TOPALIS 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: 11822446
    Abstract: An embodiment of the present invention is directed to a novel approach of applying Machine Learning, statistical methods and/or other algorithms to identify associations of input conditions and values with results of requirements, measures of performance assessments, and/or other indications. These associations may be provided to an analyst, system designer, other recipient and/or receiving system or component to inform of input conditions and values that uncover system sensitivities.
    Type: Grant
    Filed: March 1, 2022
    Date of Patent: November 21, 2023
    Assignee: Innovative Defense Technologies, LLC
    Inventors: Bernard Gauf, Apostolos Topalis, Jacob Harris
  • Publication number: 20230185704
    Abstract: An embodiment of the present invention is directed to a novel approach of predicting software failures while executing in an operational or production environment. The innovative method and system provides analytic capabilities that monitor a system and input conditions and further provides a prediction mechanism to anticipate a software failure and present an improved course of action.
    Type: Application
    Filed: December 8, 2022
    Publication date: June 15, 2023
    Inventors: Bernard GAUF, Apostolos TOPALIS, Keith HARRIMAN
  • Publication number: 20220283919
    Abstract: An embodiment of the present invention is directed to a novel approach of applying Machine Learning, statistical methods and/or other algorithms to identify associations of input conditions and values with results of requirements, measures of performance assessments, and/or other indications. These associations may be provided to an analyst, system designer, other recipient and/or receiving system or component to inform of input conditions and values that uncover system sensitivities.
    Type: Application
    Filed: March 1, 2022
    Publication date: September 8, 2022
    Inventors: Bernard GAUF, Apostolos TOPALIS, Jacob HARRIS