Eldred has been the project leader for the DAKOTA effort since its inception in 1994. The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible, extensible interface between analysis codes and iterative systems analysis methods. His research interests include surrogate—based optimization, uncertainty quantification, optimization under uncertainty, parallel processing, and object—oriented software development. A number of his publications are available on the DAKOTA web site. Mike received his B.S. in Aerospace Engineering from Virginia Tech in 1989, his M.S.E. and Ph.D. in Aerospace Engineering from the University of Michigan in 1990 and 1993, and is currently a Principal Member of the Technical Staff in the Optimization and Uncertainty Quantification Department within the Computation, Computers, Information, and Mathematics Center at Sandia National Laboratories.
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