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Methodologies: Data Mining, Data, Statistics and Stochastic Methods, Uncertainty Quantification

Matthew Plumlee

Assistant Professor, Industrial & Operations Engineering

Matthew Plumlee’sĀ interests lieĀ in the interface of data and modeling; specifically in methods for experimentation and uncertainty quantification for complex systems. This includes: model calibration; design and analysis of computer experiments; large-scale simulation and experimentation; stochastic modeling of enterprise, mechanical and biological systems; and general analytical/statistical methods and computational techniques.