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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. Ryan Blair low-dimensional geometry, topology
Dr. John Brevik algebraic geometry, commutative algebra
Dr. Jen-Mei Chang pattern recognition
Dr. Josh Chesler math education
Dr. Scott Crass  
Dr. Yu Ding  
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. Olga Korosteleva  
Dr. Chung-Min Lee partial differential equations, shock interaction, particle movement in turbulence, pedestrian dynamics
Dr. Xiyue Liao nonparametric shape-restricted regression and inference, change-point estimation, biostatistics, machine learning, survey, actuarial science
Dr. Kathryn McCormick operator algebras, groupoid algebras
Dr. Robert Mena  
Dr. Hojin Moon statistical learning methods, animal carcinogenicity/tumorigencity
Dr. Will Murray noncommutative algebra
Dr. Florence Newberger differential geometry, dynamical systems
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. Lihan Wang geometric analysis, differential geometry, partial differential equations
Dr. Wen-Qing Xu applied math, discrete math, numerical analysis, partial differential equations
Dr. William Ziemer  

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.