Patents by Inventor Eric SMYTH

Eric SMYTH 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).

  • Catheter tip for a catheter assembly
    Patent number: 11944768
    Abstract: A method of using a catheter assembly for inserting in a fluid filled space in a body includes providing a main body having a first end portion and a second end portion. The first end portion is positioned within the fluid filled space. The second end portion is adjusted to extend outwardly from the fluid filled space when the first end portion is positioned within the fluid filled space. A catheter tip is connected to the second end portion of the main body. The catheter tip includes a housing having a cavity defined therein and a rotating element positioned within the fluid filled space. The rotating element is rotated within the cavity of the housing to impart movement of the first end portion of the main body within the fluid filled space.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: April 2, 2024
    Assignee: Washington University
    Inventors: Eric Leuthardt, Guy Genin, Matthew Smyth, David Limbrick, Daniel Moran, Lihong Wang, Aaron McLaughlin, Manish Shah, Alexander Yang, Samuel Stone, Devon Haydon, Michael Winek, Richard Marcus
  • Automated machine learning scheme for software exploit prediction
    Patent number: 10264009
    Abstract: A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models. Modeling schemes may also be used when retraining the predictive models forming the prediction ensemble.
    Type: Grant
    Filed: July 26, 2016
    Date of Patent: April 16, 2019
    Assignee: BOOZ ALLEN HAMILTON INC.
    Inventors: Eric Smyth, Aaron Sant-Miller, Kevin Field
  • AUTOMATED MACHINE LEARNING SCHEME FOR SOFTWARE EXPLOIT PREDICTION
    Publication number: 20180034842
    Abstract: A predictive engine for analyzing existing vulnerability information to determine the likelihood of a vulnerability being exploited by malicious actors against a particular computer or network of computers. The predictive engine relies on multiple data sources providing historical vulnerability information, a plurality of predictive models, and periodic retraining of the prediction ensemble utilizing predictive models. Modeling schemes may also be used when retraining the predictive models forming the prediction ensemble.
    Type: Application
    Filed: July 26, 2016
    Publication date: February 1, 2018
    Applicant: Booz Allen Hamilton Inc.
    Inventors: Eric SMYTH, Aaron SANT-MILLER, Kevin FIELD