Patents by Inventor Dominic Joseph Steinitz

Dominic Joseph Steinitz 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).

  • PHYSIOLOGICAL RESPONSE PREDICTION SYSTEM
    Publication number: 20240047076
    Abstract: A system for modeling the evolution of a system overtime using an advection-based process is provided. The system continuously evolves a probability density function (“PDF”) for a characteristic of a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model of the system. The system model has time-varying parameters for modeling the characteristic of the state of the system. The system uses the continuously evolving PDF to make predictions about the characteristic of the state of the system.
    Type: Application
    Filed: July 14, 2023
    Publication date: February 8, 2024
    Inventors: David John Balaban, Mark Joseph Durst, Todd W. Kelley, John Scott Skellenger, Mikhail Toupikov, Nicolas Sean Frisby, Dominic Joseph Steinitz
  • Physiological response prediction system
    Patent number: 11749411
    Abstract: A system for modeling the evolution of a system over time using an advection-based process is provided. The system continuously evolves a probability density function (“PDF”) for a characteristic of a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model of the system. The system model has time-varying parameters for modeling the characteristic of the state of the system. The system uses the continuously evolving PDF to make predictions about the characteristic of the state of the system.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: September 5, 2023
    Assignee: Intermountain Intellectual Asset Management, LLC
    Inventors: David John Balaban, Mark Joseph Durst, Todd W. Kelley, John Scott Skellenger, Mikhail Toupikov, Nicolas Sean Frisby, Dominic Joseph Steinitz
  • PREDICTING STATE OF A SYSTEM BASED ON ADVECTION
    Publication number: 20200057955
    Abstract: A system for modeling the evolution of a system over time using an advection-based process is provided. The system continuously evolves a probability density function (“PDF”) for a characteristic of a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model of the system. The system model has time-varying parameters for modeling the characteristic of the state of the system. The system uses the continuously evolving PDF to make predictions out the characteristic of the state of the system.
    Type: Application
    Filed: March 8, 2019
    Publication date: February 20, 2020
    Inventors: David Balaban, Todd W. Kelley, John Scott Skellenger, Mark Durst, Michael Tupikov, Nicolas Sean Frisby, Dominic Joseph Steinitz
  • PHYSIOLOGICAL RESPONSE PREDICTION SYSTEM
    Publication number: 20200058407
    Abstract: A system for modeling the evolution of a system over time using an advection-based process is provided. The system continuously evolves a probability density function (“PDF”) for a characteristic of a characteristic of the state of the system and its time-varying parameters. The PDF is evolved based on advection by solving an advection partial differential equation that is based on a system model of the system. The system model has time-varying parameters for modeling the characteristic of the state of the system. The system uses the continuously evolving PDF to make predictions about the characteristic of the state of the system.
    Type: Application
    Filed: July 31, 2019
    Publication date: February 20, 2020
    Inventors: David John Balaban, Mark Joseph Durst, Todd W. Kelley, John Scott Skellenger, Mikhail Toupikov, Nicolas Sean Frisby, Dominic Joseph Steinitz