RESEARCH
INTERESTS:
Frank
Bensics:
Actuarial
Science
Roger
Bilisoly:
Text
mining
of
literary
texts,
computational
linguistics,
statistical
analysis
of
data
from
the
physical
sciences
Nelson
Castaneda:
Geometric
analysis,
nonlinear
analysis,
graph
theory
Yuanqian
Chen:
Partially
ordered
algebraic
structures
Robert
Crouse:
Statistical
modeling,
multivariate
statistics
Darius
Dziuda:
Data
mining
for
genomics
and
proteomics,
multivariate
statistics,
multivariate
biomarker
discovery,
bioinformatics,
classification
and
prediction
systems,
informative
set
of
genes,
individualized
medicine,
differential
diagnosis,
drug
discovery
Samia
Elsafty:
Developmental
&
Business
Math
Ivan
Gotchev:
General
topology,
graph
theory
Tatiana
Gotcheva: Mathematics
Education,
developmental
mathematics
Franklin
Gould:
Topological
groups,
algebraic
topology,
mathematical
physics
S.
Louise
Gould:
Mathematics
education,
ethnomathematics
including
the
intersection
of
textile
arts
with
math
and
technology,
gender
equity
and
use
of
student
writing
in
the
area
of
mathematics
Phil
Halloran:
Psychology
of
teaching
and
learning
mathematics,
psychological/social/logical
influences
on
the
development
of
mathematics
curricula
Chun
Jin:
Multivariate
analysis,
decision
theory
Shelly
Jones:
Best
practices
in
teacher
professional
development
to
promote
the
conceptual
development
of
mathematics
in
classroom
instruction,
effective
strategies
in
teacher
preparation
to
develop
pedagogical
content
knowledge,
using
cultural
aspects
of
mathematics
to
increase
the
motivation
and
learning
of
minority
students
Robin
S.
Kalder:
Technology
in
the
classroom,
reading
mathematics
Daniel
Larose:
Author
of
three
data
mining
books,
author
of
forthcoming
introductory
statistics
textbook,
program
coordinator
for
the
data
mining
online
master’s
degree
and
graduate
certification
programs,
series
editor
of
Methods
and
Applications
in
Data
Mining,
founder
of
DataMiningConsultant.com
Frederic
Latour:
Algebra,
representation
theory,
graph
theory
Sally
Lesik:
Developmental
mathematics,
statistics
Eran
Makover:
Geometry
of
Riemann
Surfaces,
random
graphs,
Teichmuller
theory
Jeffrey
McGowan:
Geometric
analysis,
Riemann
surfaces,
Hodge
theory,
spectrum
of
the
Laplacian
Adele
Miller:
help
pre-service
elementary
teachers
learn
to
communicate
mathematically
and
learn
to
ask
probing
questions,
find
ways
to
increase
university
students’
conceptual
understanding
of
rational
numbers
Daniel
Miller:
Social
research,
experimental
design,
applied
statistical
analysis
Maria
Mitchell:
Transforming
teachers
to
address
all
learners
– content
and
pedagogy,
teaching
math
lessons
with
technology
Oscar
Perdomo:
Classical
differential
geometry,
minimal
hypersurphaces
of
spheres
David
Pham:
Associative
rings
and
algebras,
topology,
analysis,
physics
Luis
Recoder:
General
topology,
topological
groups
Tom
Roman:
General
relativity,
quantum
field
theory
Krishna
Saha:
Research
in
general
area
of
biostatistics
such
as
generalized
linear
models,
over
or
under
dispersed
models,
measurement
error
models,
model
misspecification,
correlated
data,
categorical
data,
familial
data,
regression
analysis,
missing
values,
outliers,
diagnostics,
survival
models,
order
statistics
Karen
Santoro:
secondary
mathematics
education
Rachel
Schwell:
Algebraic
topology
(specifically
operads
and
polytopes),
gender
differences
in
the
learning
and
performance
of
mathematics
Allison
Stotz:
Algebra
Roger
Vogeler:
Geometry,
topology
Charles
Waiveris:
General
topology,
geometry,
fractal
geometry
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