Patents by Inventor Shereen Ashraf

Shereen Ashraf 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: 11176507
    Abstract: This disclosure relates to a reconfigurable simulative and predictive digital assistant/platform for simulation of a multi-stage processing facility. The digital assistant generates and assembles digital representations of the individual physical processing stages and components of the multi-stage processing facility in a reconfigurable manner according to a set of configuration commands generated using user inputs in a graphical user interface. At least one of the digital representations include a reusable predictive model that is trained when the digital representation is generated by the digital assistant. The digital assistant further performs simulation of the multi-state processing facility “as is” or in alternative “what-if” scenarios by simulating the digital representations according to a set of timing signals in the set of configuration commands.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: November 16, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Thanos Alifantis, Shereen Ashraf, Rohit Banerji, William Richard Gatehouse, Yassine Houari, Loizos Markides, Marius Meger, Jan Andre Nicholls, Giorgio Michele Scolozzi, Jurgen Weichenberger
  • Publication number: 20190340558
    Abstract: This disclosure relates to a reconfigurable simulative and predictive digital assistant/platform for simulation of a multi-stage processing facility. The digital assistant generates and assembles digital representations of the individual physical processing stages and components of the multi-stage processing facility in a reconfigurable manner according to a set of configuration commands generated using user inputs in a graphical user interface. At least one of the digital representations include a reusable predictive model that is trained when the digital representation is generated by the digital assistant. The digital assistant further performs simulation of the multi-state processing facility “as is” or in alternative “what-if” scenarios by simulating the digital representations according to a set of timing signals in the set of configuration commands.
    Type: Application
    Filed: May 4, 2018
    Publication date: November 7, 2019
    Inventors: Thanos Alifantis, Shereen Ashraf, Rohit Banerji, William Richard Gatehouse, Yassine Houari, Loizos Markides, Marius Meger, Jan Andre Nicholls, Giorgio Michele Scolozzi, Jurgen Weichenberger