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 |
|---|---|
| Dr. Babette Benken | Undergraduate 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 Bennett | Combinatorics, group theory, scholarship of teaching and learning |
| Dr. Pavneet Kaur Bharaj | Mathematics teacher education, Mathematical knowledge for teaching, Teacher beliefs, Teacher emotions, Teacher identity, Instructional choices, Design and development of tools |
| Dr. Ryan Blair | Low-dimensional topology, geometry, topology, knot theory |
| Dr. John Brevik | Algebraic geometry, commutative algebra |
| Dr. Bruce Chaderjian | Applied mathematics, numerical analysis, computational methods |
| Dr. Jen-Mei Chang | Computational and geometric methods for analyzing large data sets, machine learning, scholarship of teaching and learning, educational data mining |
| Dr. Josh Chesler | Math education |
| Dr. Scott Crass | Geometry of finite group actions, symmetrical dynamics |
| Dr. Rolando de Santiago | Operator algebras, von Neumann algebras, geometric group theory, quantum information theory, quantum games |
| Dr. Yu Ding | Riemannian geometry, Ricci flow |
| Dr. Tangan Gao | Numerical Analysis, software development, solving systems of polynimials, applied probability |
| Dr. Brian Katz | Mathematics education, teaching inquiry |
| Dr. Sung Eun Kim | Time series analysis, environmental statistics, spatial statistics, signal processing, experimental design |
| Dr. Yong Hee Kim-Park | Actuarial science, parameter estimation, distribution estimation |
| Dr. Olga Korosteleva | Stochastic processes, epidemiological models, nonparametric statistics, clinical trials, statistical consulting |
| Dr. Melvin Lax | Applied mathematics, differential equations |
| Dr. Chung-Min Lee | Partial differential equations, shock interaction, particle movement in turbulence, pedestrian dynamics |
| Dr. Seungjoon Lee | Statistical machine learning, Data-driven system identification, Multifidelity/Multiscale data analysis |
| Dr. Xuhui Li | Mathematics teacher knowledge growths and applications in classroom teaching practice, cultural backgrounds and historical development of mathematics teacher education in China |
| Dr. Xiyue Liao | Nonparametric shape-restricted regression and inference, change-point estimation, biostatistics, machine learning, survey, actuarial science |
| Dr. Antonio Martinez | Undergraduate mathematics education, computational thinking |
| Dr. Kathryn McCormick | Operator algebras, groupoid algebras |
| Dr. Hojin Moon | Statistical learning algorithms for data science, classification by ensembles from random partitions, discovery/validation of genomic/genetic markers |
| Dr. Will Murray | Noncommutative algebra, Frobenius algebras, elliptic curves, representation theory, Markov chains |
| Dr. Florence Newberger | Differential geometry, dynamical systems |
| Dr. Jeffrey Pair | Teaching and learning of mathematical proof, the nature of mathematics |
| Dr. Joshua Sack | Discrete mathematics, applied logic, theoretical computer science, algebra, topology, mathematical biology |
| Dr. Kagba Suaray | Nonparametric functional estimation, extreme value theory, sports analytics |
| Dr. Paul Sun | Biophysics modeling, scientific computation, numerical linear algebra |
| Dr. Robert Valentini | Algebraic function fields |
| Dr. Lihan Wang | Geometric analysis, differential geometry, partial differential equations |
| Dr. Wen-Qing Xu | Applied mathematics, discrete mathematics, numerical analysis, partial differential equations |
| Dr. Tianni Zhou | Survival analysis, biostatistics, educational data mining |
| Dr. William Ziemer | 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—a studio/lab—for 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.
