• Faculty Research

    The Department of Mathematics is staffed with faculty members who are more than just impassioned mentors and educators; they are well respected leaders in their field. Many of the faculty engage in research. Below is a sampling of some of the varied areas in which Monmouth mathematics professors apply their theoretical knowledge in the practical world.  

    Richard Bastian thumbnail

    Statistical Analysis of Veterinary or Medical Procedures

    Dr. Richard Bastian, Lecturer

    Veterinary and medical procedures often balance therapeutic results against risk of side effects; moreover, practitioners often tweak procedures to minimize side effects. Statistical study of the efficacy of these changes helps assess the costs and benefits and facilitates publication of studies. Several projects involving mathematics for statistical analysis of efficacy of veterinary or medical procedures are being conducted. In addition to research involving statistical analysis and interpretation of data, students in my lab learn the basics of client communication and other essential entrepreneurship skills necessary for developing their own consulting practice. Potential projects in consultations with a veterinary practice include "Urinary Incontinence in Spayed Dogs" and "Regenerative Stem Cell Therapy in Dogs". Consulting projects in conjunction with a urologist include "Serum Prostate Specific Antigen Levels as Predictors of Prostate Cancer".

    B. Lynn Bodner thumbnail

    Geometric Islamic Architectural and Ornamental Designs

    Dr. Lynn Bodner, Professor

    My current area of research involves the study and analysis of geometric Islamic architectural and ornamental designs. More specifically, I examine medieval (or earlier) Islamic patterns found in extant examples of architectural ornamentation (or other primary sources such as architectural scrolls and manuscripts dating from the 15th or 16th century) in an attempt to deduce plausible methods, without mensuration, by which medieval Islamic artisans may have conceptualized the proportion and placement of polygons within either repeat unit drawings or the complete designs. I use only the geometer's tools of compass and straightedge (or actually the electronic equivalent, the Geometer's Sketchpad software program) to achieve these recreations to their exact design specifications, so as to simulate medieval geometric construction techniques. Lastly, I mathematically classify the skeletal patterns using group theory and crystallography, which, for the most part, has not yet been done for the geometric Islamic patterns investigated and for which there is a need and an interest from the mathematics and art history communities.

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    Knot Theory and Virtual Knot Theory

    Dr. Micah Chrisman, Associate Professor

    My current research interest is in knot theory and virtual knot theory. A classical knot is an embedding of the circle into a three dimensional space (e.g., take a rope, tangle it up, and glue the ends together). The main question in knot theory is: given two knots J and K, is it possible to manipulate J so that you get K? Surprisingly, this turns out to be a deep question about the geometry and topology of three manifolds. An alternate approach to the main question is via virtual knots. Virtual knots are an extension of classical knots where one has overcrossings, undercrossings (as in the classical case), and virtual crossings. Because of the additional crossing type, virtual knots lend themselves naturally to combinatorial and algebraic analysis. My recent research has focused on trying to understand how these structures play a role in finite-type invariants of virtual knots. The Goussarov Theorem states that every finite-type invariant of classical knots can be represented by a combinatorial formula. This is important for the main question in knot theory because all finite-type invariants can be computed quickly. Indeed, they can be computed in polynomial time. Thus, studying knots helps us understand three manifolds, while studying finite-type invariants helps us to determine properties of those knots quickly.
    The primary mathematical interest in knot theory lies in its exceptional beauty. However, knot theory is also studied for its interrelations with other branches of mathematics like representation theory, category theory, and graph theory.

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    Scattering Theory

    Dr. Joseph Coyle, Associate Professor

    My research is in scattering theory or, more specifically, the scattering of electromagnetic or acoustic waves. Scattering theory can be divided into two categories: forward and inverse. In the forward problem, the main goal is to compute the scattered wave given an incident field and the medium in which the wave travels. In the inverse problem, one tries to determine the object that actually scattered the wave given the incident and scattered field. I tend to concentrate my efforts in the area of numerical analysis, where I mainly focus on the computational aspects of scattering theory. More specifically, I work on finite element methods for the forward problem and regularization/sampling techniques for the inverse problem.

    Bonnie Gold thumbnail

    The Philosophy of Mathematics

    Undergraduate Mathematics Education: Assessment of Student Learning

    Dr. Bonnie Gold, Professor

    I have two primary areas of current research interest. The first is the philosophy of mathematics. I am especially interested in the question "What is mathematics?" When I finished my PhD in mathematics, I realized I knew a lot about the subject, but couldn't express, in a sentence or a paragraph, what mathematics is. Nor has anyone else given a satisfactory description that gets to the heart of mathematics. Mathematics is not primarily a bunch of calculational techniques; it is about a collection of interesting concepts (such as prime number) and their relationships. This, however, does not show how to separate mathematics from other fields, which is what I am working on.

    My second area of interest is undergraduate mathematics education. I have done some work on assessment of student learning, and recently have explored the problems beginning mathematics majors have learning to use mathematical language correctly. For example, students often think that to show that a statement such as "if n > 2 is an even number, then it is the sum of two primes" is false, they would have to show "if n > 2 is an odd number, then it is not the sum of two primes." In fact, what would be needed is to find an even number (greater than two) that is not the sum of two primes (or at least, show such a number exists). I am interested in how to help beginning mathematics majors learn to use mathematical language and work with mathematical concepts effectively. I am also interested in learning how to improve the mathematical understanding of future elementary school teachers.

    Betty Liu thumbnail

    Partial Differential Equations

    Dr. Betty Liu, Professor

    My primary research area is numerical solutions of partial differential equations. My research interests are in the fields of numerical analysis, partial differential equations, scientific computation, mathematical modeling, and computational fluid dynamics. I have recently been concentrating on the following two fields of research: numerical analysis and computer simulation. For numerical analysis, I develop numerical methods to approximate the solutions of partial differential equations, prove the unique solvability of the numerical algorithms, and carry out the error analysis of the numerical solutions. For computer simulation, I develop 3D mathematical models to simulate the blood flows in human atherosclerotic arteries, to study the blood flow pattern in curved arteries with or without stenosis, and to investigate the effect of the stenosis on the wall shear stress, the pressure drop, and the flow disturbance. Numerical computations are carried out to allow for simulations of different geometries and flow parameters under the physiological conditions, and the numerical results are analyzed.

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    Algebra and Number Theory

    Dr. David Marshall, Associate Professor and Department Chair

    My research is in pure mathematics and has included overlapping areas of algebra, number theory, and geometry. More specifically, I have done work applying Iwasawa theory techniques in algebraic number theory; I have applied arithmetical algebraic geometry techniques to the study of genus 1 curves; and have written pedagogical materials and a textbook for elementary number theory courses. Recently I have been working on projects related to bilinear and quadratic forms over rings and fields of even characteristic, which is an interesting and often overlooked case that is usually omitted from classical treatments on the subject. I’m always interested in hearing about and working on new problems whose solutions are potentially susceptible to the methods of modern algebra, especially those coming from number theory and geometry.   

    Johnny Pang thumbnail

    Inverse Problems on Hilbert Spaces

    Dr. Wai “Johnny” Pang, Assistant Professor

    My main research interests are in neighborhood hypothesis and inverse problems on Hilbert spaces. Neighborhood hypothesis is an improved testing method that is both mathematically convenient and practically relevant to replace the usual hypothesis. The advantage is that the asymptotes remain essentially the same with the neighborhood null hypothesis and corresponding alternative reversed. For inverse problems on Hilbert spaces, I focus particularly on improving estimators of inverse function and regression models in Hilbert Spaces. For the past two years, I have also been including student researchers in the above topics with applications.