Research Areas

The department faculty are engaged in broad categories of research. The following table gives the research interest of respective faculty in the department.
Faculty Research Interest
Dr. Halima Ali
  • Applied Mathematics
  • Divertor Physics
  • Magnetic Fusion, Nonlinear Dynamics and its Application to Nuclear Fusion
Dr. Francis Erebholo
  • Correlated Generalized Linear Models
  • Error Analysis of Certain Numerical integration Schemes for Partial Differential Equations
  • Logistic Regression Modeling
  • Longitudinal Data Analysis
  • Mathematics education
  • Missing Data
  • Numerical analysis
  • Regressive Logistic
  • Regression Modeling
  • Repeated Measures
  • Statistical analysis with missing data using the model of disposition
  • Statistics Education, and the Decline in Mathematics Identity among the African Americans and other Minority Groups
Dr. Dejenie Lakew
  • Clifford analysis
  • Functional analysis
  • ODEs
  • Operator theory
  • PDEs
Dr. Huihui Lin
  • Copula model for discrete longitudinal data
  • Data analytics;
  • Statistical modeling and analysis
Dr. Ridha Moussa
  • Differential Equations
  • Functional Analysis
  • Mathematical Education Remedial/Advanced Student-centered Instruction
  • Mathematical Physics and Applied Mathematics
  • Numerical Analysis
  • Probability and Statistics
  • Real and Complex Analysis
  • Special Functions
  • Scientific and Symbolic Computing
  • Technology-based Instruction
Dr. Alkesh Punjabi
  • Controlled thermonuclear fusion
  • Fusion Science and Nonlinear Dynamics
Dr. Nar Rawal
  • Elliptic and Parabolic PDE
  • Evolution Equations with Nonlocal Dispersal
  • Time Periodic Nonlocal Dispersal Operators and Applications
Ms. Gabrielle Smith
  • Between-Host Systems
  • Data Science
  • Ecology
  • Epidemiology
  • Mathematical Biology
  • Mathematical Modeling
  • Computational Biology
  • Data Analytics
  • Interdisciplinary Sciences
  • One Health
  • Predictive Modeling
  • Public Health
  • Wildlife Epidemiology
Dr. Arun Verma
  • Controlled thermonuclear fusion
  • Educational technology
  • Numerical modeling and simulation
  • Perturbation techniques used in problems related to fluid dynamics
  • Solid mechanics