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Department of Mathematics and Statistics

Research

The Mathematics and Statistics Department supports an active group of researchers with interests spanning a broad range. There is a strong emphasis on conducting research of regional significance, and on active involvement of both graduate and undergraduate students. Faculty members and graduate students are currently conducting research in the areas of bioinformatics, biostatistics, computational biology, computational engineering, financial analytics, forensic statistics, numerical analysis, quantitative genetics, Ramsey theory and statistics.

Descriptions of some projects currently in progress.

Faculty Research | Current Graduate Student Research | Recent Dissertations

Faculty Research

  • Matt Biesecker
    • Research interests: mathematical modeling, optimization, calculus of variations
  • Fred Boehm ()
    • Research interests: biostatistics, with a focus in statistical genetics
  • Tom Brandenburger
    • Research interests: predictive analytics, financial statistics
  • Kurt Cogswell ()
    • Research interests: dynamical systems, Ergodic theory
  • Gemechis Djira ()
    • Research interests: simultaneous inferences, bioassays, longitudinal data analysis, statistical computing, Bayesian analysis, sequential methods
    • (with Ramu Sudhagoni)
  • Xijin Ge ()
    • Research interests: bioinformatics, genomics and cancer
  • Jung-Han Kimn ()
    • Research interests: efficient parallel algorithm based on domain decompositions: mathematical analysis and practical implementation
  • Semhar Michael ()
    • Research interests: computational statistics with a focus on finite mixture modeling and model-based clustering
    • Studying complexity of model-based clustering
  • Hossein Moradi ()
    • Research interests: big Data, dimension reduction and variable selection, functional data analysis, multivariate statistics, spatial and spatiotemporal statistics
  • Michael Puthawala ()
    • Research interests: machine learning: manifold learning, geometric learning, universality; math/applied math: inverse problems, scientific computing, optimal transport
  • Chris Saunders ()
    • Research interests: forensic inference of source, statistical pattern recognition and approximation theory
  • Dan Schaal
    • Research interests: combinatorics, ramsey theory on the real numbers
  • Don Vestal ()
    • Research interests: number theory and combinatorics (especially Ramsey theory)
  • Sharon Vestal ()
    • Research interests: analyzing and Improving student performance in calculus courses, abstract harmonic analysis and wavelet theory

Graduate Student Research

  • Vahid Hosseinzadeh - working with Michael Puthawala
    • The intersection of geometric deep learning and power systems stability
  • Cole Patten - working with Michael Puthawala and Chris Saunders
  • Cole Rausch - working with Michael Puthawala
    • Stability of Inverses of Relu Activation Layers in Deep Neural Networks
  • William Ternes - working with Michael Puthawala and Peter Cheng
    • Applications of Numerical PDE to Navier Stokes and fluid simulation

Recent Theses and Dissertations

  • Anthony Glackin (M.S., 2024):
  • Cole Patten (M.S., 2024):
  • Cami Fuglsby (Ph.D., 2023):
  • Rachel Bergjord (M.S., 2023):
  • Shi Wen Wong (M.S., 2023):
  • Skylar Halverson (M.S., 2022):
  • Stephanie Liebl (M.S., 2022):
  • Rylee Sundermann (M.S., 2022):
  • Tessa Sundermann (M.S., 2022):
  • Madeline Anne Ausdemore (Ph.D., 2021):
  • Nicholas Brown (Ph.D., 2021):
  • Jessie Hendricks (Ph.D., 2021):
  • Paul May (Ph.D., 2021):
  • Rong Zhou (M.S., 2021):
  • Abdelbaset Abdalla (Ph.D., 2019):
  • Shaopeng Gu (M.S., 2019):
  • Amanda Jensen (M.S., 2019):
  • Nicholas Stegmeier (M.S., 2019):