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. Current areas of data analytics research at WSU the theoretical foundation of deep learning models, modern statistical learning methodology, entropy models for time series, sampling and optimization in complex and discrete domains, and applications to a broad variety of real-world problems. These application areas include political redistricting and gerrymandering, analysis of social media data with network models, economic data concerning world trade and market pricing, and genomics and bio-informatics applications studies.

Nairanjana Dasgupta

http://www.math.wsu.edu/faculty/ndasgupta/ dasgupta@wsu.edu Neill 403 Genomics and Bio-informatics. Dealing with large scale multiplicity in genomic, proteomic and metabolomic data sets. Dealing with dependencies in binary and ordinal data. Modeling growth and bloom phases of WA apples. Multiple Comparisons, Comparison to Control, Logistic Distribution, Optimal Designs. Statistics and Probability Biostatistics Data Analytics

Sample Publications

Daryl DeFord

http://www.math.wsu.edu/faculty/ddeford/ daryl.deford@wsu.edu Neill 328 See http://www.math.wsu.edu/faculty/ddeford/Research_topics.php Applied Mathematics Statistics and Probability Pure Mathematics Data Analytics Probability and Stochastic Processes Number Theory and Combinatorics

Sample Publications Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming ReCombination: A family of Markov Chains for Redistricting

Alex Dimitrov

https://labs.wsu.edu/alex-dimitrov/ alex.dimitrov@vancouver.wsu.edu Vanc Information-theoretic and probabilistic approaches to neural computing and cognitive processes; non-linear neuronal models; chaotic dynamical systems; non-linear signal processing and prediction; systems identification; neural-based intelligent agents. Neuromorphic computing. Applied Mathematics Mathematical Biology Data Analytics Probability and Stochastic Processes

Sample Publications Symmetry-Breaking Bifurcations of the Information Bottleneck and Related Problems. Mapping and Validating a Point Neuron Model on Intel’s Neuromorphic Hardware Loihi

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

Sergey Lapin

http://www.math.wsu.edu/faculty/slapin/ slapin@wsu.edu Evrt Numerical modeling of biological fluids, fluid-structure interaction problems Applied Mathematics Statistics and Probability Mathematics Education Mathematical Biology Fluid and Solid Mechanics Data Analytics

Sample Publications Waveform parameters of retrobulbar vessels in glaucoma patients with different demographics and disease severity Modeling Refugee Movement Based on a Continuum Mechanics Phase - Field Approach of Porous Media

V.S. Manoranjan

http://www.math.wsu.edu/math/faculty/mano/ mano@wsu.edu Neill 231 MATHEMATICAL MODELING – Pattern Formation, Contaminant Transport, Spread of Diseases, Population Models & Solitons;COMPUTATIONAL MATHEMATICS – Finite Element/Finite Difference methods, Spectral methods, Operator Splitting methods, Iterative methods & Machine Learning;MATHEMATICS LEARNING – Interactive online lessons & Evidence-based Experiential learning Applied Mathematics Mathematics Education Mathematical Biology Fluid and Solid Mechanics Data Analytics Linear Algebra Analysis and PDEs

Sample Publications Modeling the Spread of COVID-19 in Enclosed Spaces Analysis of a population model with advection and an autocatalytic-type growth

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

Yuan Wang

http://www.math.wsu.edu/faculty/ywang/ yuan.wang@wsu.edu Neill 409 Objected-Oriented Data Analysis, Bayesian Statistics, Non-parametric methods, classification and clustering analysis Statistics and Probability Bayesian Inference Biostatistics Data Analytics

Sample Publications Nonparametric Regression Model with Tree-structured Response Functional Model for Classification of Correlated Objects