Patents by Inventor Spencer Millican

Spencer Millican 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: 20210318379
    Abstract: The methods and systems are directed to automated computer analysis and machine learning. Specifically, the systems and methods for using machine learning to generate fault prediction models and applying the fault prediction models to logical circuits to optimize test point insertion determinations and optimize fault detection in the logical circuit. Disclosed are methods and systems that that generates training data from training circuits (and optionally generate training circuits), trains a learning segment (which may include an artificial neural network (ANN)) using the training data. The learning segment (once trained) generates fault prediction models to predict the quality of a TP inserted on a given circuit location and optimize TPI for a given circuit. The methods and systems described provide computational (CPU/processing) time advantages and precision over conventional methods.
    Type: Application
    Filed: April 9, 2021
    Publication date: October 14, 2021
    Applicant: Auburn University
    Inventors: Spencer Millican, Yang Sun, Soham Roy, Vishwani D. Agrawal
  • Patent number: 9390292
    Abstract: A system for creating protected functional descriptions of integrated circuits provides an encrypted functional description that allows the integrated circuit to be simulated with respect to producing outputs for given sets of inputs without identification of the constituent components of the integrated circuit such as the logical gates making up the integrated circuit. The encrypted functional description may include encrypted truth-tables describing the generic gates of the integrated circuit, the encrypted truth-tables securing the function of each logical gate by including multiple redundant table entries mapped to alias values of Boolean logical states and erroneous table entries.
    Type: Grant
    Filed: December 30, 2013
    Date of Patent: July 12, 2016
    Assignee: Wisconsin Alumni Research Foundation
    Inventors: Spencer Millican, Parameswaran Ramanathan, Kewal Saluja
  • Publication number: 20150188661
    Abstract: A system for creating protected functional descriptions of integrated circuits provides an encrypted functional description that allows the integrated circuit to be simulated with respect to producing outputs for given sets of inputs without identification of the constituent components of the integrated circuit such as the logical gates making up the integrated circuit. The encrypted functional description may include encrypted truth-tables describing the generic gates of the integrated circuit, the encrypted truth-tables securing the function of each logical gate by including multiple redundant table entries mapped to alias values of Boolean logical states and erroneous table entries.
    Type: Application
    Filed: December 30, 2013
    Publication date: July 2, 2015
    Applicant: Wisconsin Alumni Research Foundation
    Inventors: Spencer Millican, Parameswaran Ramanathan, Kewal Saluja