Patents by Inventor Monalisa Samal

Monalisa Samal 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).

  • RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS
    Publication number: 20220156664
    Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature corresponding to the geographic point. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.
    Type: Application
    Filed: February 4, 2022
    Publication date: May 19, 2022
    Inventors: Jordan Byk, Christopher Sams, David Carttar, Monalisa Samal, Surender Kumar
  • Resource allocation and risk modeling for geographically distributed assets
    Patent number: 11244263
    Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: February 8, 2022
    Assignee: RISK MANAGEMENT SOLUTIONS, INC.
    Inventors: Jordan Byk, Christopher Sams, David Carttar, Monalisa Samal, Surender Kumar
  • RESOURCE ALLOCATION AND RISK MODELING FOR GEOGRAPHICALLY DISTRIBUTED ASSETS
    Publication number: 20200012985
    Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.
    Type: Application
    Filed: September 13, 2019
    Publication date: January 9, 2020
    Inventors: Jordan Byk, Christopher Sams, David Carttar, Monalisa Samal, Surender Kumar
  • Resource allocation and risk modeling for geographically distributed assets
    Patent number: 10417592
    Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: September 17, 2019
    Assignee: Risk Management Solutions, Inc.
    Inventors: Jordan Byk, Christopher Sams, David Carttar, Monalisa Samal, Surender Kumar
  • Resource Allocation and Risk Modeling for Geographically Distributed Assets
    Publication number: 20140278708
    Abstract: A risk exposure model is developed for network or moveable assets not specific to a single, fixed address or location. An asset map using a plurality of geographic representation points is used to identify the physical locations of the asset portions (or possible physical locations in the case of a moveable asset). Baseline geographic, geologic, political, and demographic data is similarly represented using geographic representation points. Meta-data associated with each geographic representation point is used to identify details related to the asset or baseline feature at that geographic location. Risk exposure values are then calculated using the geographic representation points specific to the asset portions that are subject to risks associated with the location of the asset portion.
    Type: Application
    Filed: November 4, 2013
    Publication date: September 18, 2014
    Applicant: Risk Management Solutions, Inc.
    Inventors: Jordan Byk, Christopher Sams, David Carttar, Monalisa Samal, Surender Kumar