Luis Duffaut Espinosa

 LuisA. Duffaut Espinosa

Luis A. Duffaut Espinosa

  • Courses0
  • Reviews0

Biography

George Mason University - Electrical Comp. Engineering


Resume

  • 2005

    Ph.D.

    Dissertation Title: "Interconnections of Nonlinear Systems Driven by L2 Ito Stochastic Processes"

    Electrical and Computer Engineering

  • 2004

    M.Sc. in Mathematics with Mention in Stochastic Processes

    Thesis Title: "Racionalidad de la Composicion de Funcionales de Entrada/Salida Alimentada por un Proceso Wiener"

    Mathematics with Mention in Stochastic Processes

  • 1997

    B.S.

    Physics

  • Matlab

    Algorithms

    Numerical Analysis

    LaTeX

    Simulink

    Neural Networks

    Data Analysis

    Image Processing

    University Teaching

    Machine Learning

    Stochastic Processes

    Signal Processing

    Theory

    Control Theory

    Simulations

    Pattern Recognition

    Mathematical Modeling

    Duffaut Espinosa

    Luis A.

    Duffaut Espinosa

    George Mason University

    University of Vermont

    Old Dominion University

    University of New South Wales

    Johns Hopkins University

    International potato Center (CIP)

    Burlington

    Vermont Area

    Assistant Professor

    University of Vermont

    Performed research on stochastic systems. Specifically

    nonlinear operators driven by stochastic processes. The research was sponsored by grants from the National Science Foundation

    NASA Langley Research Center

    and Old Dominion University.\n\nDeveloped a framework under which global and local convergence of Fliess operators is set forth. This characterized non-recursive interconnections of nonlinear systems driven by stochastic processes. The main theoretical tool for this research was the theory of noncommutative formal power series.

    Old Dominion University

    Assistant Researcher - Natural Resources Management Division

    Performed research on multifractal image processing techniques. Specifically

    a fractal dimension is assigned to each element in a set using a box-counting algorithm. This multifractal dimension was then used as a textural characteristic in an image processing algorithm that employed a neural network as a classifier. The research was sponsored partially by the Consultative Group on International Agricultural Research (CGIAR).

    International potato Center (CIP)

    University of New South Wales

    Research Associate

    Canberra

    Australia

    George Mason University

    Postdoctoral Fellow

    Johns Hopkins University

    University of Vermont

    Burlington

    Vermont Area

    Research Assistant Professor

    Performing simulation of stochastic nonlinear input-output systems and preparing journal paper publications.

    Old Dominion University

    Spanish