Faculty Research


Alfred Akinsete, Ph.D.
University of Ibadan, Nigeria
(Mathematical Statistics)


Dr. Akinsete’s research interests are in stochastic processes, applied probability, and distribution functions. He is currently interested in generating statistical distributions and their applications to real-life data. His other areas of research focuses on queuing networks, and the statistical analyses of sports data.

Email: akinsete@marshall.edu



Ari Aluthge, Ph.D.
Vanderbilt University
(Functional Analysis, Operator Theory)


Dr. Aluthge’s research interest includes p-hyponormal operators and operator inequalities. He is mainly interested in properties of p-hyponormal operators. His recent research involves results related to spectral properties.

Email: aluthge@marshall.edu



Raid Al-Aqtash, Ph.D.
Central Michigan University
(Statistical Distributions Theory)


Dr. Al-Aqtash’s research focuses on generating new families of T-X{Y} distributions by combining two existing distributions using a suitable link transformation, studying their mathematical properties and application to different real life phenomena. Other research interests include pattern recognition, data mining, time series, and regression modelling.

Email: alaqtash@marshall.edu

Webpage: http://science.marshall.edu/alaqtash



Andrea Duhon, Ph.D.
Columbia University
(Language in Mathematics, Mathematics Education)


Research Summary: Coming Soon!

Email: duhona@marshall.edu

Webpage: http://www.science.marshall.edu/duhona



Alaa Elkadry, Ph.D.
Oakland University
(Applied Mathematics and Statistics)


Dr. Elkadry’s current research interests are in randomized response, ranking and selection, and Bayesian analysis. He is currently interested
in developing and analyzing experimental designs to elicit survey data when the question(s) are particularly sensitive and, possibly, responses to such questions might not be truthful. His other areas of research focuses are applied probability and regression modelling.

Email: elkadry@marshall.edu



Basant Karna, Ph.D.
Baylor University
(Ordinary Differential Equations)


Dr. Karna’s research interests are in Boundary Value Problems for Ordinary Differential Equations and Dynamical Equations. Currently, he is involved in finding positive solution(s) for multipoint boundary value problems using different fixed point theorems, comparing smallest eigenvalues for mulitipoint boundary value problems, and characterizing the first extremal point. He is also working on these problems on Time Scales (A Time Scale is a closed subset of the reals).

Email: karna@marshall.edu

Webpage: http://www.science.marshall.edu/karna



Bonita Lawrence, Ph.D.
University of Texas, Arlington
(Dynamical Systems)


Dr. Lawrence’s research interests include calculus and analysis on time scales. This field generalizes discrete mathematics and continuous mathematics into a single system. Dr. Lawrence also heads the Marshall University Differential Analyzer Lab. This lab builds differential analyzers, which are analog machines for solving differential equations, and uses them to study differential equations and time scales calculus.

Email: lawrence@marshall.edu

Webpage: http://www.science.marshall.edu/lawrence



Anna Mummert, Ph.D.
Pennsylvania State University
(Dynamical Systems, Mathematical Biology)


Dr. Mummert’s research interests are in Epidemiological and Ecological Modeling (Mathematical Biology) and Dynamical Systems. Currently, she is involved in studying the inverse problem of recovering the time-dependent transmission rate of an epidemiological model given incidence data in stochastic differential equations, the prairie ecoregion, questions around fresh drinking water in Iowa and WV, and using dynamical systems tools to understand mathematical biology models.

Email: mummerta@marshall.edu

Webpage: http://www.science.marshall.edu/mummerta



Carl Mummert, Ph.D.
Pennsylvania State University (Mathematical Logic)


Dr. Mummert’s research is in mathematical logic, particularly in reverse mathematics, an area of logic seeks to determine which axioms are necessary to prove well-known theorems of mathematics. His reverse mathematics research has focused on principles from topology, choice principles, and countable combinatorics. He has also published papers in pure topology, and has mentored student research in logic, real analysis, and latin squares.

Email: mummertc@marshall.edu

Webpage: http://www.science.marshall.edu/mummertc



Michael Otunuga, Ph.D.
University of South Florida
(Dynamical Systems and Stochastic Dynamical Modeling)


Dr. Otunuga’s research interests include Stochastic Dynamical Systems and Analysis, Commodities Price Modeling and Valuation, Mathematical Biology, Stochastic Modeling of Infectious Diseases, and Data Mining and Analysis. His current project is on Stochastic Modeling and Analysis of Energy Commodity Spot Price Processes and Applications.

Email: otunuga@marshall.edu

Webpage: http://science.marshall.edu/otunuga



Elizabeth Niese, Ph.D.
Virginia Polytechnic Institute and State University
(Algebraic Combinatorics)


Dr. Niese studies symmetric and quasisymmetric functions. These functions have many connections to both algebra and combinatorics. Dr. Niese’s current research includes working on generalizations of quasisymmetric Schur functions and combinatorial properties of Macdonald polynomials.

Email: niese@marshall.edu



Scott Sarra, Ph.D.
West Virginia University
(Numerical Analysis)


Dr. Sarra is an active researcher in numerical analysis. His research is with high-order methods for the numerical solution of partial differential equations (PDEs). The methods include radial basis function methods (RBFs) and pseudospectral methods. He is also involved with post-processing methods that reduce or eliminate the Gibbs phenomenon.

Email: sarra@marshall.edu

Webpage: http://www.scottsarra.org



Peter Saveliev, Ph.D.
University of Illinois at Urbana-Champaign
(Algebraic Topology)


Dr. Saveliev’s work is in Computational Topology and its applications in sciences and engineering. Of particular interest are such areas as digital image analysis and computer vision, topology of data, discrete exterior calculus (PDEs and flows on networks).

Email: saveliev@marshall.edu

Webpage: http://PeterSaveliev.com



Michael Schroeder, Ph.D.
University of Wisconsin–Madison
(Combinatorics, Graph Theory)


Dr. Schroeder’s areas of research include combinatorics (the study of cleverly counting things) and graph theory. Most recently, this includes completing latin squares (similar to completing Sudoku puzzles) with certain initial conditions, and graph decompositions.

Email: schroederm@marshall.edu

Webpage: http://www.science.marshall.edu/schroederm