Research areas
Algebra,
combinatorics, geometry and topology
Research in this area focuses on commutative algebra, combinatorial
geometry, numerical semi-groups, combinatorics and geometry.
People active in this area include Michael Falk, Guenther
Huck, Janet McShane, Jeff Rushall, Nandor Sieben and Steve Wilson.
Applied mathematics
Research
in this area focuses on ordinary and partial differential equations, numerical
analysis, dynamical systems and operations research.
People active in this area include Terence Blows, Shafiu Jibrin, John Neuberger,
Nandor Sieben and Jim Swift.
Mathematics
education
People active in this area include Brian Beaudrie, Barbara Boschmans, Terry
Crites, Shannon Guerrero, Jeff Hovermill and April Judd.
Statistics
Research in this area focuses on mixed linear models, variance components,
regression and measures of agreement.
People active in this area include Brent Burch, Roy St.
Laurent, Derek Sonderegger and Jin Wang.
Measure theory and functional analysis
Research in this area focuses on
operator algebras and measure theory.
People active in this area include Dorin Dumitrascu, John
Hagood and Nandor Sieben.
More on faculty research
Need more? Click on the faculty names below to get an
in-depth view of their research backgrounds.
Terence R. Blows—nonlinear
differential equations
Received PhD from University College of Wales, Aberystwyth,
1982.
Read moreHis research area is Nonlinear Differential Equations.
Specifically, limit cycles of planar autonomous differential equations
(Hilberts Sixteenth Problem). Such differential equations include those of
Lienard type, and many that are used in applications, for example in population
ecology.
Brent D. Burch—statistics
Received PhD from Colorado State University in 1996.
Read moreHis current research interests are mixed linear models and
variance components. This includes developing confidence interval and point
estimation procedures for a function of variance components in mixed linear
models.
Confidence intervals may be evaluated in terms of bias and
expected length. Expected length computations depend on approximations of the
cumulative distribution function of a linear combination of independent
chi-square random variables.
This work has been undertaken with the assistance of Hari K.
Lyer from Colorado State University. Point estimators of the intraclass
correlation (a ratio of variance components) in the balanced one-way random
effects model have evolved from confidence interval techniques.
Currently, joint work is being done with Ian R. Harris with
the prospect of extending the results to more complex mixed linear models.
Michael J. Falk—topology and
combinatorics
Received PhD from University of Wisconsin - Madison in 1983.
Read moreHis research centers around the interplay between
topological, algebraic, geometric, and combinatorial properties of arrangements
of hyperplanes in complex vector spaces.
This focus leads to an interest in a wide variety of topics,
including, in no particular order, algebraic topology, Lie algebras and root
systems, combinatorial group theory, homotopy theory, geometry, algebraic
geometry, singularities, representation theory, matroid theory, and polytopes.
In the early 1990's, he used methods from geometric group
theory to develop a weight test for $K(\pi,1)$ line arrangements and to
construct nontrivial homotopy equivalences of complements of line arrangements
from combinatorial moves.
In joint research with Hiroaki Terao, he applied methods
from the homology of posets to produce basic differential forms for
multivariate hypergeometric integrals.
He has published joint papers and lectured on research
conducted with undergraduates in Northern Arizona Univeristy's REU program,
Carrie Eschenbrenner, Nick Proudfoot, and Cahmlo Olive and Eric Samansky.
Current interests involve resonance varieties and
characteristic varieties, and nonlinear fiberings of arrangements, braid groups
and artin groups, and applications of arrangements in quantum field theory.
John W. Hagood—analysis
Received PhD from the University of Utah in 1977 in
Probability Theory.
Read moreHis research area is now measure and integration theory,
dealing especially with finitely additive measures, integral relationships such
as Radon-Nikodym theorems, and Lp s paces.
His attentions have been divided between this area of
research and changes in calculus instruction. In the latter, he has led
workshops on calculus reform, written Mathematica laboratory exercises, and
contributed to the redesign of the calculus program at Northern Arizona University.
Jeffrey Hovermill—mathematics
education
Received PhD from University of Colorado-Boulder in 2003 in
Instruction and Curriculum in Mathematics Education.
Read moreHis research in mathematics education centers on preservice
teacher education and inservice teacher professional development.
Much of his work involves developing learning communities
that facilitate praxis regarding the art and science of effective mathematics
teaching.
His dissertation focused on the interactions between
teachers' understandings and practices regarding content, pedagogy, and
technology and their instructional practices.
Shafiu Jibrin
Received Ph.D. from Carelton University (Canada) in 1998 in Operations Research
Read moreHis main research interests are on linear matrix inequality (LMI) constraints in the field of positive semidefinite programming. This includes finding ways to eliminate redundant constraints from large LMI constraints sets and developing methods for the analysis of LMI constraints sets. It has been established that the removal of redundancies can improve the performance of interior point algorithms, thereby increasing the size of the problems that can be solved.
A related important question is how to quickly find a feasible point or a near-feasible point of the LMI constraints set. Did joint work with Dr. Richard Caron and Dr. Tim Traynor, both of the University of Windsor in Canada. He is currently working with a colleague, Dr. Jim Swift, on constructing constraint consensus methods for finding strictly feasible points for LMI constraints sets.
Dr. Jibrin is also interested in developing new algorithms for solving semidefinite programming problems that uses weighted analytic centers for LMIs.
Janet M. McShane—commutative
algebra
Received PhD from The University of Arizona in 1992.
Read moreHer doctoral dissertation involved the computation of
polynomial invariants of finite groups. Currently her focus is on the computation
of polynomial semi-invariants of finite groups.
John M. Neuberger—partial
differential equations and numerical analysis
Received PhD from University of North Texas in 1995.
Read moreHis doctoral research concerned Sign-Changing Solutions of
Superlinear Elliptic Boundary Value Problems.
He uses Variational Methods, Degree theory, and tools from
Nonlinear Functional Analysis to investigate Uniqueness and Multiplicity of
solutions. In general, he seeks to understand the Nodal Structure of solutions.
Bifurcation Theory is both a tool to be used and an area to
be contributed to in his research.
Owing to his industrial experience at E-Systems, he uses
Numerical Analysis to further investigate the above facets of Elliptic PDEs.
In particular, his method of projecting sign-changing
functions onto an infinite dimensional submanifold of the Hilbert Space H_0
^{1,2} has proven successful in numerically calculating solutions.
He is currently adapting the algorithm to investigate
solutions on the disk, annulus, and arbitrary regions, as well as trying to
prove corresponding analytic results. He is presently collaborating with
several other mathematicians who have independently developed distinct and
complementary numerical algorithms.
His other research interests include Neural Networks,
Bifurcation of Water Waves, Nonradial Solutions on Radially Symmetric Regions,
Parabolic and Hyperbolic PDEs, and extensions of previous results to include a
wider class of nonlinearities such as Semipositone Problems.
Roy T. St. Laurent—statistics
Received PhD from University of Minnesota 1987 in
Statistics.
Read moreHis research interests are in linear and nonlinear
regression models, in particular the development of regression diagnostics for
assessing the influence individual (or groups of) observations exert on model
fit in a nonlinear regression model.
Diagnostic methods in common use in linear regression
analysis are often (mis)applied to nonlinear regression problems.
Some of the topics his research addresses are: characterizing
when diagnostic methods designed for linear models may be appropriately applied
to nonlinear models; and generalizing common diagnostic methods to nonlinear
regression models.
Also, he has an interest in the development of procedures
for evaluating agreement (or concordance) between two methods of measurement of
a physical quantity, particularly when one such method is a gold standard.
Nándor Sieben—operator
algebras and combinatorics
Received PhD from Arizona State University 1997 in Operator Algebras.
Read moreHis research interest is in C*-algebras; C*-dynamical systems; groupoid, inverse semigroup and graph algebras; combinatorial game theory; graph pebbling; partial differential equations.
James W. Swift (AKA Jim
Swift)—dynamical systems
Received PhD in physics from UC Berkeley.
Read moreHis research is in dynamical systems, with emphasis on
symmetric systems and systems of coupled oscillators.
Steve Wilson—combinatorial
geometry
Received his PhD in 1976 from Univ. of Washington, Seattle.
Read moreThe topic of his doctoral research was Regular Maps. These
are embeddings of graphs on surface that have large groups of symmetry.
His contributions to this theory include papers on operators
in maps, branched coverings, smooth coverings, chiral maps, constructions from
matrix groups and permutation groups related to Grünbaum’s Conjecture, and more
recently, regular maps and hypermaps on non-orientable surfaces.
Work on the question of which graphs occur in regular maps,
as well as experiences in the REU program, have led to investigations into
symmetry in graphs. These include papers in semi-symmetric and 1/2-tansitive
graphs, that is, graphs whose groups are transitive on edges, but not on darts.