^{COLLEGE OF ARTS AND SCIENCES }
_{Department of Mathematics and Statistics}
Optimization and Data Analytics
Data analytics, still not quite well defined, can be regarded as the collective science of processing and/or analyzing data for the purpose of knowledge discovery. In this respect, it encompasses parts of statistics, mathematics, machine learning, computer science, and any other field that involves data processing and/or analysis. Linear, Nonlinear and Nonsmooth Function minimization on discrete and continuous domains. Particular interests include optimization on graphs and discrete structures, Blackbox and DerivativeFree methods, applications in data and image analysis and illposed inverse problems.
Tom Asaki
http://www.math.wsu.edu/faculty/tasaki/ tasaki@wsu.edu Neill 228 DerivativeFree and blackbox optimization, mixedvariable optimization, discrete transformation discovery, inverse problems in data and image analysis. Applied Mathematics Optimization and Data Analytics 
Adaptive Trust Region Algorithms for Unconstrained Optimization Online Distributed Optimization in Radial Power Distribution Systems 
Kevin Cooper
http://www.math.wsu.edu/math/kcooper/ kcooper@wsu.edu Neill 322 Numerical analysis, computational mathematics, neural networks. Applied Mathematics Fluid and Solid Mechanics Optimization and Data Analytics 
Kinetic equation for spatially averaged molecular dynamics Panelists bias matrix estimation in a red wine trained panel 
Bala Krishnamoorthy
http://www.math.wsu.edu/faculty/bkrishna/ kbala@wsu.edu Vanc Applied algebraic topology, Geometric measure theory, Mathematical aspects of 3D printing, Discrete and nonlinear optimization, Geometry and topology in physical chemistry, Computational models for surgical and biomedical applications, Computational biology. Applied Mathematics Statistics and Probability Mathematical Biology Optimization and Data Analytics Data Analytics Probability and Stochastic Processes Analysis and PDEs Geometry and Topology 
Optimal homology and linear programming Continuous toolpath planning in 3D printing 
Xueying/Snow Wang
http://www.math.wsu.edu/faculty/xueying/ xueying.wang@wsu.edu Neill 417 Integrating techniques from the fields of dynamical systems, stochastic processes and statistics to develop and analyze mathematical models. Application areas: (a) computational neuroscience; (b) infectious disease modeling; (c) population ecology. Applied Mathematics Statistics and Probability Mathematical Biology Optimization and Data Analytics Probability and Stochastic Processes Analysis and PDEs 
A reactionadvectiondiffusion model of cholera epidemics with seasonality and human behavior change Patterns of synchronization in 2D networks of inhibitory neurons 
Kevin Vixie
http://geometricanalysis.org kvixie@wsu.edu Neill 203 Examples of research projects past and present: sparse dynamic tomography, the development of image metrics which ignore unimportant differences, the sharp characterization of minimizers to variational functionals like the L1TV and ROF functionals, the flat norm for images and shapes, analysis and geometric measure theory in metric spaces, and the propagation of uncertainty through image analysis. Pure Mathematics Optimization and Data Analytics Data Analytics Analysis and PDEs Geometry and Topology 
