Patents by Inventor Omar SHARIF

Omar SHARIF 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).

  • Publication number: 20230184780
    Abstract: The present disclosure provides a method of detecting the presence or amount of a UBE3A protein in a sample, such as a human sample, using mass spectrometry based techniques. The methods described herein are useful for diagnosing Angelman syndrome, as well as monitoring disease progression and treatment effectiveness.
    Type: Application
    Filed: April 26, 2021
    Publication date: June 15, 2023
    Inventors: Kyle Bradley Fraser, Omar Sharif Mabrouk, Danielle LeeZetta Graham
  • Patent number: 10589749
    Abstract: System and method for early detection of vehicle parts failure are disclosed. The method includes identifying discriminative rules from unstructured and structured data corresponding to subsystems of a vehicle. Causal parts categories are mapped to the subsystems based on the discriminative rules to obtain a plurality of causal part-subsystem pairs. The causal part categories are representative of vehicle parts responsible for failure of corresponding subsystems. Scores are assigned to the causal part-subsystem pairs based on an occurrence of causal part categories to a corresponding subsystem within a source. An emerging issue score is computed based on the scores, a corresponding weightage associated with the sources of the causal part category, and an extent of coverage of the each causal part in each of the plurality of causal part-subsystem pairs. The emerging issue score is compared with the threshold vehicle part failure score to identify causal part categories associated with vehicle parts failure.
    Type: Grant
    Filed: February 22, 2018
    Date of Patent: March 17, 2020
    Assignee: Tata Consultancy Services Limited
    Inventors: Vandita Bansal, Surendra Babu Gadwala, Malini Jayaraman, Omar Sharif, Senthil Kumar Kaliraj
  • Publication number: 20180237029
    Abstract: System and method for early detection of vehicle parts failure are disclosed. The method includes identifying discriminative rules from unstructured and structured data corresponding to subsystems of a vehicle. Causal parts categories are mapped to the subsystems based on the discriminative rules to obtain a plurality of causal part-subsystem pairs. The causal part categories are representative of vehicle parts responsible for failure of corresponding subsystems. Scores are assigned to the causal part-subsystem pairs based on an occurrence of causal part categories to a corresponding subsystem within a source. An emerging issue score is computed based on the scores, a corresponding weightage associated with the sources of the causal part category, and an extent of coverage of the each causal part in each of the plurality of causal part-subsystem pairs. The emerging issue score is compared with the threshold vehicle part failure score to identify causal part categories associated with vehicle parts failure.
    Type: Application
    Filed: February 22, 2018
    Publication date: August 23, 2018
    Applicant: Tata Consultancy Services Limited
    Inventors: Vandita BANSAL, Surendra Babu GADWALA, Malini JAYARAMAN, Omar SHARIF, Senthil Kumar KALIRAJ