Research

My research interests are in the intersection of engineering statistics and Bayesian methods, with particular emphasis on problems in defense and security.

Labs and Consortia

Research Projects

Combining Information to Assess System Reliability

In the Department of Defense (DoD), data are often collected over several phases of tests. A key initiative across the DoD testing and evaluation community has been to integrate test planning and execution to create data that can be shared by all test agencies. However, no one has yet capitalized on the knowledge that can be gained when one properly combines information across all of these test events.

This work is funded by the Science of Test Consortium. James Gilman is working on this project.

Selected Relevant Publications

Bayesian Reliability Models

Bayesian techniques and tools have proven useful in addressing a variety of reliability problems. Bayesian methods allow heterogeneous information to be expressed probabilistically, and Bayesian computational tools have been used to address otherwise intractable estimation and inference problems.

This work is funded by the Science of Test Consortium. 

Designing Experiments for Reliability

In the current era of smaller budgets and increasing reliability requirements, it is challenging to demonstrate reliability requirements using a single test. Reliability assurance testing uses supplementary data and information to reduce the required amount of testing. The additional data and information may include appropriate reliability models, earlier test results on the same or similar devices, expert judgment regarding performance, knowledge of the environmental conditions under which the devices are used, benchmark design information on similar devices, prior knowledge of possible failure modes, etc.

This work is funded by the Science of Test Consortium. James Gilman is working on this project.

Selected Relevant Publications

Bayesian Reliability Growth Modeling

The various stages of system development involve maturation of the design through the discovery and mitigation of failure modes that are initially present in the system. A number of approaches have been proposed to model the growth in reliability throughout system development, each with their own applications, assumptions, and limitations. Bayesian methods use multiple sources of information to develop and update reliability growth plans.

This work is funded by the Science of Test Consortium. 


Combining Information to Improve Nonproliferation Capabilities

This research will Identify and create tools that can be used to collect, fuse, and analyze data from multiple sensors to support the identification of signatures, decisions about data collection, and development of simulation and modeling methodology.

This work is funded by the Consortium for Nonproliferation Enabling Technologies. Katherine Allen and Laura Wendelberger are working on this project.

Selected Relevant Publications

Sample Written Prelims

Here are a set of written prelim questions and prompts.