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 realworld 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 bioinformatics applications studies.
Chencheng Cai
https://www.math.wsu.edu/faculty/ccai chencheng.cai@wsu.edu Neill 405 Causal inference and experimental design under interference; Time series analysis; highdimensional matrix decomposition; Monte Carlo methods. Statistics and Probability Data Analytics Probability and Stochastic Processes 
Optimizing Randomized and Deterministic Saturation Designs under Interference KoPA: Automated Kronecker Product Approximation 
Nairanjana Dasgupta
http://www.math.wsu.edu/faculty/ndasgupta/ dasgupta@wsu.edu Neill 403 Genomics and Bioinformatics. 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 

Daryl DeFord
http://www.math.wsu.edu/faculty/ddeford/ daryl.deford@wsu.edu Neill 328 My research focuses on applications of combinatorial and algebraic methods to the analysis of social data including political redistricting and social network analysis. Recent projects include the following with more details on Applied Mathematics Statistics and Probability Pure Mathematics Data Analytics Probability and Stochastic Processes Number Theory and Combinatorics 
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/alexdimitrov/ alex.dimitrov@wsu.edu Vanc Informationtheoretic and probabilistic approaches to neural computing and cognitive processes; nonlinear neuronal models; chaotic dynamical systems; nonlinear signal processing and prediction; systems identification; neuralbased intelligent agents. Neuromorphic computing. Applied Mathematics Mathematical Biology Data Analytics Probability and Stochastic Processes 
SymmetryBreaking 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 
Optimal homology and linear programming Continuous toolpath planning in 3D printing 
Sergey Lapin
http://www.math.wsu.edu/faculty/slapin/ slapin@wsu.edu Evrt 405 Numerical modeling of biological fluids, fluidstructure interaction problems Applied Mathematics Statistics and Probability Mathematics Education Mathematical Biology Fluid and Solid Mechanics Data Analytics 
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 & Evidencebased Experiential learning Applied Mathematics Mathematics Education Mathematical Biology Fluid and Solid Mechanics Data Analytics Linear Algebra Analysis and PDEs 
Modeling the Spread of COVID19 in Enclosed Spaces Analysis of a population model with advection and an autocatalytictype 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 

Yuan Wang
http://www.math.wsu.edu/faculty/ywang/ yuan.wang@wsu.edu Neill 409 ObjectedOriented Data Analysis, Bayesian Statistics, Nonparametric methods, classification and clustering analysis Statistics and Probability Bayesian Inference Biostatistics Data Analytics 
Nonparametric Regression Model with Treestructured Response Functional Model for Classification of Correlated Objects 