Patents by Inventor Nouran SOLIMAN

Nouran SOLIMAN 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).

  • Identification of tasks at risk in a collaborative project
    Patent number: 12002012
    Abstract: A computing system for identifying tasks at risk in a collaborative project includes one or more processors configured to execute, during an inference-time phase, a collaborative project management program and a machine learning model. The collaborative project management program is configured to receive telemetry data associated with a task, process the telemetry data based at least in part on one or more task attributes, and output at least one feature associated with the task. The machine learning model is configured to receive, as inference-time input, the at least one feature associated with the task, and, responsive to receiving the at least one feature, output a risk prediction for the task. The system is configured to output an alert when the task is predicted to be at risk of not being completed by a predetermined due date.
    Type: Grant
    Filed: May 18, 2022
    Date of Patent: June 4, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Mark James Encarnación, Nalin Singal, Michael Gamon, Shawon Sarkar, Nouran Soliman
  • IDENTIFICATION OF TASKS AT RISK IN A COLLABORATIVE PROJECT
    Publication number: 20230376902
    Abstract: A computing system for identifying tasks at risk in a collaborative project includes one or more processors configured to execute, during an inference-time phase, a collaborative project management program and a machine learning model. The collaborative project management program is configured to receive telemetry data associated with a task, process the telemetry data based at least in part on one or more task attributes, and output at least one feature associated with the task. The machine learning model is configured to receive, as inference-time input, the at least one feature associated with the task, and, responsive to receiving the at least one feature, output a risk prediction for the task. The system is configured to output an alert when the task is predicted to be at risk of not being completed by a predetermined due date.
    Type: Application
    Filed: May 18, 2022
    Publication date: November 23, 2023
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Mark James ENCARNACIÓN, Nalin SINGAL, Michael GAMON, Shawon SARKAR, Nouran SOLIMAN