Jeffrey Solka

 JeffreyL. Solka

Jeffrey L. Solka

  • Courses2
  • Reviews2

Biography

University of Mary Washington - Computer Science

Senior Scientific & Technical Manager for Naval Data Sciences at Naval Surface Warfare Center Dahlgren Division
Research
Jeffrey
Solka
Dahlgren, Virginia
I have a great deal of experience in statistics, mathematics, computer science and the interface between these three disciplines. My goal is to develop techniques to analyze high dimensional data. I am particularly interested in technology watch and horizon scanning.

Specialties: computational statistics, statistical pattern recognition, technology watch and horizon scanning


Experience

  • George Mason University

    Part time Adjunct Professor

    I teach part time for the Department of Bioinformatics. I teach Biostatistics and Gene Expression Analysis.

  • University of Mary Washington

    Part time adjunct professor.

    I teach in the Department of Computer Science.

  • Naval Surface Warfare Center

    Principal Scientist

    I conduct research and development in statistics, mathematics, computer science, statistical pattern recognition, and technology watch/horizon scanning.

  • Naval Surface Warfare Center Dahlgren Division

    Senior Scientific & Technical Manager for Naval Data Sciences

    Coordination of Naval research, development, and prototyping in Naval Data Sciences including activities in statistics, artificial intelligence, and machine learning.

Education

  • James Madison University

    M.S.

    Mathematics

  • Virginia Tech

    M.S.

    Physics

  • George Mason University

    Ph.D.

    Computational Statistics
    My dissertation director was Edward Wegman. My dissertation was in the area of visualization of semiparamteric mixture-based probability density estimates.

  • George Mason University

    Part time Adjunct Professor


    I teach part time for the Department of Bioinformatics. I teach Biostatistics and Gene Expression Analysis.

Publications

  • Embedding in Space Forms

    Journal of Multivariate Analysis

    The goal of this paper is to give explicit procedures and equations for performing metric multidimensional scaling to surfaces. More specifically, we describe a method for determining a configuration of points in a closed and orientable surface (i.e., the MDS space) for which the interpoint distances closely approximate a given set of dissimilarities. More generally, these constant sectional curvature surfaces are examples of space forms (spaces which are quotients of Euclidean, spherical, or hyperbolic space by a subgroup of the isometry group of the space). We will cast our work in this language, thereby allowing the theory to easily be generalized to higher dimensions.

  • Embedding in Space Forms

    Journal of Multivariate Analysis

    The goal of this paper is to give explicit procedures and equations for performing metric multidimensional scaling to surfaces. More specifically, we describe a method for determining a configuration of points in a closed and orientable surface (i.e., the MDS space) for which the interpoint distances closely approximate a given set of dissimilarities. More generally, these constant sectional curvature surfaces are examples of space forms (spaces which are quotients of Euclidean, spherical, or hyperbolic space by a subgroup of the isometry group of the space). We will cast our work in this language, thereby allowing the theory to easily be generalized to higher dimensions.

  • Exploratory Data Analysis With MATLAB

    Chapman and Hall/CRC Computer Science and Data Analysis

    This book offers a good introduction at the advanced undergraduate or graduate level to exploratory data analysis using MATLAB. Numerous example are provided along with the associated code.

CPSC 109

4.5(1)

CPSCDD 370

3(1)