Here is a brief summary of current research areas and interests:

Discrete Modeling Problems in Statistical Quality Control, including geometric-based SPC methods for low-defect processes and rare event data, design and performance of combined control chart schemes, arisal of alternate discrete probability models, economic chart optimization, and clustering, compound, and mixed distribution models.

Design of Experiments (DOE), including mathematical programming approaches to simultaneous optimization of univariate and multivariate responses in designed experiments, alternate methods for detecting variance effects in replicated factorial industrial experiments, and discrete methods for low-defect processes.

Industrial Engineering and Quality Control Problems in Health Care, including hospital infection control, medical errors, laboratory quality, and cancer screening optimization

Data Aggregation in SPC, including impact on attribute SPC methods, aggregate distributions, and adjustment for non-homogeneous events in SQC.

Inspection Error, including statistical, economic, and optimization models of single and multiple (imperfect) inspection policies.

Cancer and Clinical Laboratory Screening Models, including statistical, economic, and optimization models of cervical, breast, and prostrate cancer screening policies.

Material Science and Statistical Design Problems, including statistical characterization of powder metal size distributions and probabilistic design.

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