Faculty Research

The faculty of the Mathematics and Statistics Department involves research in mathematics, applied mathematics, statistics, and math education. The department also emphasizes much on student research.

Faculty Research Areas
FacultyResearch Areas
Dr. Babette BenkenUndergraduate education, professional development models for university faculty and preparing secondary teachers to meet the needs of English Learners (EL), models to best prepare elementary teachers to teach STEM disciplines in ways that support student learning
Dr. Curtis BennettCombinatorics, group theory, scholarship of teaching and learning
Dr. Pavneet Kaur BharajMathematics teacher education, Mathematical knowledge for teaching, Teacher beliefs, Teacher emotions, Teacher identity, Instructional choices, Design and development of tools
Low-dimensional topology, geometry, topology, knot theory
Dr. John BrevikAlgebraic geometry, commutative algebra
Dr. Bruce ChaderjianApplied mathematics, numerical analysis, computational methods
Computational and geometric methods for analyzing large data sets, machine learning, scholarship of teaching and learning, educational data mining
Math education
Geometry of finite group actions, symmetrical dynamics
Operator algebras, von Neumann algebras, geometric group theory, quantum information theory, quantum games
Riemannian geometry, Ricci flow
Dr. Tangan GaoNumerical Analysis, software development, solving systems of polynimials, applied probability
Dr. Brian KatzMathematics education, teaching inquiry
Time series analysis, environmental statistics, spatial statistics, signal processing, experimental design
Dr. Yong Hee Kim-ParkActuarial science, parameter estimation, distribution estimation
Stochastic processes, epidemiological models, nonparametric statistics, clinical trials, statistical consulting
Dr. Melvin LaxApplied mathematics, differential equations
Partial differential equations, shock interaction, particle movement in turbulence, pedestrian dynamics
Dr. Seungjoon LeeStatistical machine learning, Data-driven system identification, Multifidelity/Multiscale data analysis
Dr. Xuhui LiMathematics teacher knowledge growths and applications in classroom teaching practice, cultural backgrounds and historical development of mathematics teacher education in China
Nonparametric shape-restricted regression and inference, change-point estimation, biostatistics, machine learning, survey, actuarial science
Dr. Antonio MartinezUndergraduate mathematics education, computational thinking
Dr. Kathryn McCormickOperator algebras, groupoid algebras
Statistical learning algorithms for data science, classification by ensembles from random partitions, discovery/validation of genomic/genetic markers
Noncommutative algebra, Frobenius algebras, elliptic curves, representation theory, Markov chains
Dr. Florence NewbergerDifferential geometry, dynamical systems
Dr. Jeffrey PairTeaching and learning of mathematical proof, the nature of mathematics
Discrete mathematics, applied logic, theoretical computer science, algebra, topology, mathematical biology
Nonparametric functional estimation, extreme value theory, sports analytics
Dr. Paul SunBiophysics modeling, scientific computation, numerical linear algebra
Dr. Robert ValentiniAlgebraic function fields
Dr. Lihan WangGeometric analysis, differential geometry, partial differential equations
Applied mathematics, discrete mathematics, numerical analysis, partial differential equations
Dr. Tianni ZhouSurvival analysis, biostatistics, educational data mining
Applied mathematics, partial differential equations

Project in Geometry and Symmetry

The Long Beach Project in Geometry and Symmetry will establish both an intellectual and a physical space鈥攁 studio/lab鈥攆or mathematical pursuits. The geometry studio will be a place where students and faculty can gather to construct, discover, and explore models and structures connected to mathematical ideas and results. A fundamental objective is to encourage students to develop experimental, perceptual and geometric modes of thinking.

The interactions that take place in the studio will promote:

  • an intellectual setting in which students develop independence in thought, inquiry, and problem-solving as well as an appreciation of the intrinsic depth and beauty of mathematics
  • a social environment that encourages students to engage cooperatively in the construction and exploration of perceptual structures
  • a model and materials for the development of similar facilities at other institutions.

Additional Resources


Student Research

The department offers numerous opportunities for undergraduate and graduate students to be involved in the research of its faculty. Students are strongly encouraged to participate in our research, thereby finding an opportunity to increase and apply the knowledge acquired in class. To get started, contact a faculty member who shares a research interest with you.