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
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. Ryan Blair Low-dimensional topology, geometry, topology, knot theory
Dr. John Brevik Algebraic geometry, commutative algebra
Dr. Linda Byun Algebra
Dr. Jen-Mei Chang Computational and geometric methods for analyzing large data sets, machine learning, scholarship of teaching and learning, educational data mining
Dr. Bruce Chaderjian Applied mathematics, numerical analysis, computational methods
Dr. Josh Chesler Math education
Dr. Scott Crass Geometry of finite group actions, symmetrical dynamics
Dr. Yu Ding Riemannian geometry, Ricci flow
Dr. Morteza Ebneshahrashoob Statistics, applied probability
Dr. Tangan Gao Numerical Analysis, software development, solving systems of polynimials, applied probability
Dr. David Gau Topology of singularities, algebraic geometry, differential geometry
Dr. Brian Katz Mathematics education, teaching inquiry
Dr. Eun Heui Kim Nonlinear partial differential equations
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. 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. Alan Safer Data mining, multivariate statistics, marketing, quality control, business statistics
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. Ngo Viet Analysis
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.