Dr. Christine Schubert Kabban, Professor of Statistics
Research Interests
Classification and detection methods and assessing their performance,
information fusion and big data,
Statistical Inference for machine learning, AI, multivariate data,
Structural health monitoring and nondestructive evaluation,
network analysis,
epidemiology and biostatistics,
nonparametrics and categorical data analysis,
regression and complex prediction modeling,
statistical simulation,
design of experiments,
autonomous systems and networks with hierarchical and complex multi-dimensional data,
natural language processing for information extraction.