Patents by Inventor Keyvan KASIRI

Keyvan KASIRI 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).

  • SYSTEMS AND METHODS FOR GENERATING FLOOD HAZARD ESTIMATION USING MACHINE LEARNING MODEL AND ELEVATION DATA
    Publication number: 20250191258
    Abstract: A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained to produce an output of a deterministic hazard mapping algorithm. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.
    Type: Application
    Filed: February 24, 2025
    Publication date: June 12, 2025
    Applicant: BANK OF MONTREAL
    Inventors: Kian KENYON-DEAN, Bo ZHAO, Keyvan KASIRI, Yevgeniy VAHLIS, Todd FRASER, Lyndsay MORRISON, Michael TORRANCE, Stella WU
  • Systems and methods for generating flood hazard estimation using machine learning model and satellite data
    Patent number: 12236505
    Abstract: A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained using a generative adversarial network (GAN) to produce an output of a deterministic hazard mapping algorithm. A GAN objective applies a loss function, reweighted to increase the importance of high hazard areas. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: February 25, 2025
    Assignee: BANK OF MONTREAL
    Inventors: Kian Kenyon-Dean, Bo Zhao, Keyvan Kasiri, Yevgeniy Vahlis, Todd Fraser, Lyndsay Morrison, Michael Torrance, Stella Wu
  • SYSTEMS AND METHODS FOR GENERATING FLOOD HAZARD ESTIMATION USING MACHINE LEARNING MODEL AND SATELLITE DATA
    Publication number: 20220108504
    Abstract: A system and method for flood hazard estimation inputs a satellite elevation map and applies a machine learning model to output a geographic map representing flood hazard areas. The machine learning model is trained using a generative adversarial network (GAN) to produce an output of a deterministic hazard mapping algorithm. A GAN objective applies a loss function, reweighted to increase the importance of high hazard areas. The method retrieves a DEM topography file representing elevation data of an identified terrain, and applies a sink-filling algorithm to detect and fill sinks in the DEM topography. The algorithm subtracts the DEM elevation data to generate a filled topography, and identifies flattest regions of the filled topography. The algorithm then generates a flood hazard map by merging the filled topography and the DEM elevation data, using a weighting function that balances the detected sinks and the flattest regions of the filled topography.
    Type: Application
    Filed: October 4, 2021
    Publication date: April 7, 2022
    Applicant: BANK OF MONTREAL
    Inventors: Kian KENYON-DEAN, Bo ZHAO, Keyvan KASIRI, Yevgeniy VAHLIS, Todd FRASER, Lyndsay MORRISON, Michael TORRANCE, Stella WU