Patents by Inventor Lamine Mili

Lamine Mili 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).

  • Computational framework for modeling of physical process
    Patent number: 11914937
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Grant
    Filed: February 13, 2023
    Date of Patent: February 27, 2024
    Assignees: LAWRENCE LIVERMORE NATIONAL SECURITY, LLC, VIRGINIA TECH INTELLECTUAL PROPERTIES, INC.
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong, Yijun Xu, Lamine Mili
  • COMPUTATIONAL FRAMEWORK FOR MODELING OF PHYSICAL PROCESS
    Publication number: 20230205955
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Application
    Filed: February 13, 2023
    Publication date: June 29, 2023
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong, Yijun Xu, Lamine Mili