Mathematics (Ph.D.) Program Details

Degree Requirements

    ❱   Required coursework
    ❱   Qualifying or comprehensive examination
    ❱   Foreign language proficiency
    ❱   Graduate School writing proficiency requirement
    ❱   Graduate School Responsible Conduct of Research (RCR) requirement
    ❱   Dissertation 
    ❱   Final oral examination/Dissertation defense

Research Specializations

    ❱   Algebra
    ❱   Analysis
    ❱   Applied mathematics
    ❱   Combinatorics, Probability, and Statistics
    ❱   Geometry
    ❱   Mathematics Education
    ❱  Number Theory
    ❱  Topology 

Research Areas & Interests 

Faculty Areas of Expertise

First Name Last Name Research Area & Interests
Angelica Babei Algebraic Number Theory with a computational emphasis, particularly on orders in semisimple algebras
Paul Bezandry Stochastic differential and difference equations, focusing on almost periodic solutions and their stability, and probability theory
Alexander Burstein Enumerative Combinatorics, focusing on permutation patterns, permutation statistics, and the Riordan group
Senhuei Chen Parabolic systems arising in physical oceanography
Dennis Davenport Enumerative Combinatorics, the Riordan group, Ramsey Theory, Stone–Čech Compactification, and mathematics education, focusing on undergraduate research
Roberto De Leo Dynamical systems, geometry of foliations, fractal geometry, biomathematics, computational geometry, and topology
Stanley Einstein-Matthews Quantum field theory, geometry, pure mathematics, and functional analysis
Tepper Gill Relativistic quantum mechanics, classical electrodynamics, nonlinear dynamical systems, and probability theory
Katharine Gurski Fluid Dynamics, Numerical Analysis, Partial Differential Equations, Magnetohydrodynamics, and Mathematical Modeling
Joon Ha Mathematical Modeling of diabetes and neuroscience, Dynamical Systems, and clinical studies of diabetes
Neil Hindman Topology, Logic, Ramsey Theory, and Stone–Čech Compactification
Sam Hopkins Algebraic and enumerative combinatorics, exploring combinatorial reciprocity, plane partitions, and root system chip-firing
Sayomi Kamimoto Nonlinear dynamical systems, applied bifurcation theory, collective behaviors, and mathematical modeling
Yeona Kang Scientific computing and data analysis of dynamic brain PET imaging, as well as deep learning and machine learning with structural neural network modeling
Christopher Kim Computational Neuroscience, Machine Learning, and Applied Mathematics
Mohammad Mahmood Material Science and High-Pressure Synthesis
Amir Maleki Functional Analysis, Operator Theory, and Real Analysis
Henok Mawi Partial Differential Equations, Geometric Optics, and Optimal Mass Transport
Cheikh Ndiaye Geometric Analysis, Calculus of Variations, Partial Differential Equations, and Differential Geometry
Paul Peart Enumerative combinatorics and random walks
Francois Ramaroson Algebra and Number Theory, Analysis, Applied Mathematics, Logic and Foundations, Geometry, and Topology
Jie Ren Motivic Donaldson–Thomas Invariants, Moduli Spaces, Noncommutative Geometry, Mirror Symmetry, and quantum field theoretical foundations of quantum invariants
Louis Shapiro Combinatorics, notably the Riordan group and Riordan arrays, and algebra
Sankar Sitaraman Algebraic number theory, including cyclotomic fields and Diophantine equations
Bourama Toni Differential Analysis, including Archimedean and Non-Archimedean Dynamical Systems, bifurcation theory, and applications in mathematical biology and economics
Qi Wang Applied and computational mathematics, with interests in modeling complex systems, soft matter, and machine learning applications

Research Fields

Algebra


Algebraic Geometry, Homological Algebra, Representation Theory, and Lie Theory

Analysis


Approximation Theory, Complex Analysis, Harmonic Analysis, Functional Analysis, Differential and Nonlinear Analysis, Inverse Problems, Operator Theory, Variational Calculus, Automorphic forms, L-functions, and Wavelets

Applied Mathematics


Ordinary Differential Equations, Dynamical Systems, Mathematical Biology, Mathematical Physics, Partial Differential Equations, Scattering and Input-State-Output Engineering Systems, Numerical Analysis, Mass Transport Problems, and Fluid Dynamics

Combinatorics, Probability, and Statistics


Algebraic Combinatorics, Enumerative Combinatorics, Generating Functions, Permutation Patterns, Finite Group Theory, Random Walks, Statistics, Stochastic Processes, Statistical Physics

Geometry


Differential Geometry, Complex Geometry, Hyperbolic Geometry, Symplectic Geometry, Riemannian Geometry, and Algebraic Topology

Mathematics Education


Mathematics Education

Number Theory


Number Theory

Topology


Topology

Program of Study* 

CORE COURSES (21 CR)

MATH 210  Algebra I

MATH 211  Algebra II

MATH 222  Real Analysis I

MATH 223  Real Analysis II

MATH 229  Complex Analysis I

MATH 250  Topology I

MATH 280  Topics in History of Math

SELECTIVES (9 CR)

Students select one course from the following group: 

MATH 220  Intro to Analysis I

MATH 221  Intro to Analysis II

MATH 208  Intro to Modern Algebra I

MATH 209  Intro to Modern Algebra II

MATH 185  Intro to Complex Analysis

MATH 186  Intro to Differential Geometry

MATH 189  Probability and Statistics

MATH 184  Intro to Number Theory

MATH 199  Intro to General Topology


Students select two courses from the following group: 

MATH 214  Number Theory I

MATH 224  Applications of Analysis

MATH 230  Complex Analysis II

MATH 231  Functional Analysis I

MATH 252  Algebraic Topology I

MATH 253  Algebraic Topology II

MATH 259  Differential Geometry I

MATH 260  Differential Geometry II

MATH 237  Partial Differential Equations II

ELECTIVE COURSES (30 CR)

DISSERTATION (12 CR)

*Courses included in the sample program of study are subject to change. Students should consult with their programs regarding their required program of study. 

Admission to Candidacy 

Students are admitted to formal candidacy by the Graduate School when they have completed the required coursework, passed the qualifying or comprehensive examination, submitted an approved topic for research, and been recommended by the Department. Candidates must also have satisfied the Graduate School writing proficiency requirement and Responsible Conduct of Research (RCR) requirement.

Graduate Funding 

Admitted students may be eligible to compete for Graduate School competitive awards, which provide tuition remission and a stipend during the academic year. Additionally, graduate research or teaching assistantships may be available at the department level. Research assistants and teaching assistants work no more than 20 hours a week under the program's direction, usually in support of faculty research (research assistants) or in support of assigned courses (teaching assistants). Please see the Funding website for more detailed information.