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 Derivative-Free methods, applications in data and image analysis and ill-posed inverse problems.

Tom Asaki

http://www.math.wsu.edu/faculty/tasaki/ tasaki@wsu.edu Neill 228 Derivative-Free and blackbox optimization, mixed-variable optimization, discrete transformation discovery, inverse problems in data and image analysis. Applied Mathematics Optimization and Data Analytics

Sample Publications 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

Sample Publications 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

Sample Publications 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

Sample Publications A reaction-advection-diffusion 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

Sample Publications