Research excellence is a prime objective of the Mathematics Department. Faculty members conduct research in a variety of areas in pure and applied mathematics. Grants from the federal and state government support many faculty members' research programs. These grants often include support for graduate students seeking Ph.D. or master degrees. The research areas in the Department of Mathematics may be loosely grouped into:
- Algebra
- Analysis
- Applied and Computational Mathematics
- Dynamical Systems and Ergodic Theory
- Geometry and Topology
- Mathematical Logic and Foundations
- Number Theory
- Statistics
Algebra
Areas of Research:
- Combinatorics
- Group Theory
- Homological algebra
- Representation theory
Faculty:
- Doug Brozovic
- Charles Conley
- Anne Shepler (Deformation Theory, Reflection Groups, Algebraic Combinatorics, Hochschild Cohomology)
Analysis
Areas of Research:
- Functional Analysis
- Measure Theory
- Partial Differential Equations
- Probability
- Real and Complex Analysis
Faculty:
- Pieter Allaart
- Nicolae Anghel (Complex Analysis of One and Several Variables, Mathematical Physics, Math Education)
- Lior Fishman
- Joe Iaia (Nonlinear Ordinary and Partial Differential Equations)
- Bunyamin Sari (Banach Space Theory, Linear and Nonlinear Geometry of Infinite Dimensional Banach Spaces)
- Mariusz Urbański (Functional Analysis)
Applied and Computational Mathematics
Areas of Research:
- Computational Biology and Bioinformatics
- Machine Learning
- Mathematical Biology
- Numerical Analysis
- Optimization
- Uncertainty Quantification
Faculty:
- Rajeev Azad (Bioinformatics and Computational Biology, Probabilistic Modeling of Biomolecular Sequences, Machine Learning, Gene Network Analysis)
- Serdar Bozdag (Bioinformatics and Computational Biology, Machine Learning, Data Mining, Biological Network Modelling and Analysis, Precision Medicine)
- Yanyan He (Uncertainty Quantification, Uncertainty Modeling, Uncertain Data Fusion, Fuzzy Sets, Fuzzy Measures)
- J. Jianguo Liu (Optimization, Numerical Analysis, Scientific Computation, Data Classification, Machine Learning)
- John Quintanilla (Stochastic Geometry, Percolation, Random Heterogeneous Materials)
- Giordano Tierra Chica (Fluid Mechanics, Modeling, Numerical Analysis, PDEs, Scientific Computing)
Dynamical Systems and Ergodic Theory
Areas of Research:
- Conformal, Holomorphic, and Meromorphic Dynamical systems
- Conformal Iterated Functions Systems
- Ergodic Theory and Topological Dynamics
- Open Dynamical Systems
- Random Dynamical Systems
- Thermodynamic Formalism
Faculty:
- Lior Fishman
- Su Gao (Ergodic Theory and Topological Dynamics)
- Mariusz Urbański (Thermodynamic Formalism; Conformal, Holomorphic, and Transcendental Dynamical Systems; Random Dynamical Systems; Open Dynamical Systems; Conformal Iterated Functions Systems and Graph Directed Markov Systems; Hausdorff Dimension; Rational Semigroups)
Geometry and Topology
Areas of Research:
- Topological Groups
Faculty:
- Nicolae Anghel (Geometric Analysis, Differential Geometry)
- Su Gao (Noncompact Transformation Groups)
- Mariusz Urbański (Kleinian Groups, Fractal Geometry, Topological Dimension, Circle Packings)
Mathematical Logic and Foundations
Areas of Research:
- Descriptive Set Theory
- Set Theory
Faculty:
- Su Gao (Descriptive Set Theory)
- Steve Jackson
- John Krueger (Combinatorial Set Theory, Consistency Results, Forcing)
- Nam Trang (Inner models, Determinacy, Forcing, Consistency Results)
Number Theory
Areas of Research:
- Automorphic Forms
- Classical Modular Forms
- Representation Theoretic Methods
Faculty:
- William Cherry (Complex Analysis/Geometry, p-adic Analysis/Geometry)
- Lior Fishman
- Olav Richter (Automorphic Forms: In particular, Jacobi Forms, Siegel Modular Forms, Maass Forms, Mock Theta Functions and Related Objects)
- Ralf Schmidt (Classical and Adelic Modular Forms, Local and Global Representation Theory, Automorphic L-Functions)
- Mariusz Urbański (Diophantine Approximation, Continued Fractions)
Statistics
Areas of Research:
- Biostatistics
Faculty:
- Yangqing Deng (Statistical Genetics, Clinical Trials, Causal Inference, Machine Learning)
- Han Hao
- Michael Monticino
- Kai-Sheng Song
- Xuexia Wang (Statistical Methods Development and Applications in Cancer Genomics, Genome Wide Association Studies, Genetic Risk Prediction, RNA Sequencing Data Analysis, Single Cell Analysis, Image Analysis, Biological Network Modeling and Analysis, Disease Biomarker Identification)
