• Applied Analysis
• Applied Statistics
• Numerical Analysis

Our Faculty and their Research Interests

Akers, Benjamin F. PhD (University of Wisconsin)
Nonlinear wave models for fluid mechanical problems; traveling and solitary waves; the existence and stability of, as well as numerical methods for, coherent structures in nonlinear wave equations.

Baker, William P., PhD (Northwestern University)
Asymptotic Methods, Wave Propagation, Scattering Theory

Bulutoglu, Dursun A., PhD (University of California, Berkeley)
Design of Experiments, Linear Algebra

Capehart, Shay R., PhD (Arizona State University)
Design of Experiments, Optimization

Chapin, Patrick S., PhD (Iowa State University)
Design of Experiments, Bayesian Statistics, Computer Experiments, MCMC simulation

Cordeiro, James D. PhD (Arizona State University)
Design of Experiments, Bayesian Statistics, Computer Experiments, MCMC simulation

Dea, John R., PhD (Naval Postgraduate School)
Wave Propagation, Numerical Partial Differential Equations, Non-reflecting boundary conditions

Erich, Roger A., PhD (Ohio State University)
Biostatistics, survival analysis, threshold regression

Fickus, Matthew C. PhD (University of Maryland – College Park)
Applied harmonic analysis, frame theory

Lair, Alan V., PhD (Texas Tech University)
Partial Differential Equations, Functional Analysis

McBee, Brian K.

Oxley, Mark E., PhD (North Carolina State University)
Wavelet Analysis, Neural Networks, Groundwater Modeling, Functional Analysis

Pond, Kevin R.

Schubert Kabban, Christine M. PhD (Air Force Institute of Technology)
Dr. Schubert Kabban's research interest and background span a wide range of statistical application including: 1) techniques for classification and classification system performance, 2) ROC curve theory and extensions including optimal points, 3) development of truncated distributions and statistical tests for systems with a minimum or maximum level of detection, 4) information fusion, 5) longitudinal modeling including mixed and random effects models, general regression and regression extensions such as DOE, 6) survey design and analysis, and 7) general biostatistics. Currently, Dr Schubert Kabban has active projects involving health monitoring systems, classification system (including remote sensing) performance, ROC extensions to improve system performance as well as several epidemiological projects related to disease prediction and medical diagnostics.

Warr, Richard L.

White, Edward D. (‘Tony’), PhD (Texas A&M University)
Design of Experiments, Biostatistics, Growth Curves, Linear and Nonlinear regression, Categorical Data Analysis, Log-Linear Models, Statistical Simulation, Response Surface Modeling.

Wood, Aihua W., PhD (University of Connecticut)
Partial Differential Equations, Electromagnetics