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Laura Swiler's
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Research Interests
Laura is
an applied mathematician in the Computation,
Computers, Information, and Mathematics Center at Sandia National
Laboratories. She is involved with the DAKOTA software project, and
currently works in computational statistics.
Laura's research interests include uncertainty and sensitivity
analysis, optimization under uncertainty, and model calibration. Current research projects involve
uncertainty quantification and calibration for engineering design problems.
Laura has been investigating Bayesian methods to calibrate model parameters
in a framework that explicitly accounts for model uncertainty as well as
experimental uncertainty. She has also
been working on epistemic uncertainty approaches, primarily Dempster-Shafer
theory of evidence to propagate epistemic uncertainty in computational
models. Laura
spent many years working in applied reliability analysis. She developed an
optimization algorithm for reliability improvement that was incorporated in
Sandia's Reliability Modeling and Analysis Program, WinR. She analyzed a
variety of diagnostic and experimental systems. Laura was PI for a project
involving vulnerability analysis of computer networks by generating attack
graphs. She led a research effort developing prognostic algorithms for health
monitoring and predictive maintenance applications, with a specific focus on
the F-16 Accessory Drive Gearbox. Publications
Some of
Laura’s publications may be found at the CCIM Publications page, CCIM
Publications and Presentations, or the DAKOTA publications page, Recent
and Upcoming Publications Education
Laura
received her B.S. in Applied Mathematics from Contact Information
Voice:
(505) 844-8093 Mailing
Address: FedEx
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Laura Swiler
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