Patents by Inventor Christopher Galbraith

Christopher Galbraith 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: 20240157836
    Abstract: Improvements in energy distribution for electric vehicle (EV) energy delivery technologies are provided. An EV charging station management system optimizes the use of various sources of power for charging EVs. The optimizing may be based on current and/or forecasted EV charging demand, and the amount of greenhouse gas emissions produced by various sources to generate the power used for EV charging. In another embodiment, the optimizing may be based on current and/or forecasted EV charging demand, and current or forecasted cost of acquiring power from a power grid, which varies over time. The system may be configured to maximize earnings from EV charging at one or more charging stations.
    Type: Application
    Filed: November 16, 2022
    Publication date: May 16, 2024
    Inventors: Christopher GALBRAITH, Keegan Michael John GREEN, Nasrin SADEGHIANPOURHAMAMI, Alexander LINCHIEH, Devashish PAUL, Mostafa FARROKHABADI
  • Publication number: 20220131883
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Application
    Filed: February 12, 2020
    Publication date: April 28, 2022
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
  • Patent number: 11068827
    Abstract: Provided is a manner of determining a performance indicator score for an entity. A method includes identifying a set of result indicators that contribute to a target result for a defined process. The set of result indicators include a first result indicator, a second result indicator, and a third result indicator. The method also includes determining a first score for the first result indicator, a second score for the second result indicator, and a third score for the third result indicator. Further, the method includes applying a first weight to the first score, a second weight to the second score, and a third weight to the third score. A master performance indicator score is determined based on a combination of the first score, the second score, and the third score as a function of the first weight, the second weight, and the third weight.
    Type: Grant
    Filed: May 18, 2016
    Date of Patent: July 20, 2021
    Assignee: WELLS FARGO BANK, N.A.
    Inventors: Ralph H. Groce, III, Ryan Swanstrom, Sean McDermott, Linda C. Butt, Jessica Derby, Christopher Galbraith, Clayton Campbell
  • Patent number: 10931699
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Grant
    Filed: February 12, 2020
    Date of Patent: February 23, 2021
    Assignee: Obsidian Security, Inc.
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson
  • Publication number: 20200259852
    Abstract: A method, a system, and an article are provided for identification of security-related activities based on usage of a plurality of independent cloud-based, hosted application platforms. An example method includes: receiving, from the application platforms, activity data and state data for a plurality of users of the application platforms; generating one or more predictive models configured to detect deviations from normal user behavior across the application platforms; providing, as input to the one or more predictive models, the activity data and the state data for at least one of the users; receiving, from the one or more predictive models, an indication that an activity of the at least one of the users deviates from the normal user behavior; and facilitating a remedial action to address the indicated deviation.
    Type: Application
    Filed: February 12, 2020
    Publication date: August 13, 2020
    Inventors: Matt Wolff, Alexander Vandenberg-Rodes, Naresh Chebolu, Marcus Mccurdy, Matthew Maisel, Jody Forness, Jedidiah Mitten, Noah Corradin, Samantha Staszak, David Newhall, Christopher Galbraith, Christopher Fuller, Brian Lau, Benjamin Johnson