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 modeling.
Email: alaqtash@marshall.edu
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
Avishek Mallick, Ph.D.
University of Louisiana at Lafayette
(Statistics)
Dr. Mallick’s interests are distribution theory and statistical modeling, especially developing statistical methodologies for analyzing environmental and medical/biological data. Currently, his focus is analysis of censored survival data and its application in Medicine and Environmental Sciences. He is also working on developing inferential procedures for discrete inflated distributions and their applications. His other research interests include missing data analysis, especially multiple imputation and statistical meta-analysis.
Email: mallicka@marshall.edu
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
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.
Dr. Mummert is currently serving as the Interim Assistant Provost in the Office of Academic Affairs.
Email: mummertc@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
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
Laura Stapleton, Ph.D.
Old Dominion University
(Instructional Design & Technology)
Dr. Stapleton’s areas of research include use of generative learning strategies, such as self-explanation, where learners create personal meaning with a mathematical topic by generating a deliverable. Other interests include Social Presence in online learning, flipped classroom environments, and decision making.
Email: stapleto@marshall.edu