My current research focuses on the validation and uncertainty quantification of numerical models. Personal contributions to this field include the development of a new coverage metric which measures the ability of a set of validation experiments to represent the entire domain of applicability, analysis of the tradeoff between experimental campaigns and model development, and involvement in the development of a framework for allocating resources between experiments and model improvement. The coverage metric goes beyond the concept of exploration of the domain and has the ability to consider experimental uncertainty. The concept of coverage is incorporated in the resource allocation framework to ensure that a model is not falsely validated due to poor sampling of the domain as demonstrated in Figure 1.

Figure 1: Potential prediction errors of a domain with poor coverage Publications Atamturktur S., Hegenderfer J., Williams B., Egeberg M., Ricardo L., and Unal C., (accepted, in print), A Resource Allocation Framework for Experiment-Based Validation of Numerical Models, Journal of Mechanics of Advanced Materials and Structures (Taylor & Francis). Atamturktur S., Williams, B., Egeberg, M., and Unal, C., (submitted, in review), Batch Sequential Design of Optimal Experiments for Improved Predictive Maturity in Physics-Based Modeling, Structural and Multidisciplinary Optimization (Springer). Egeberg, M., Atamturktur, S., and Hemez, F., (to appear: 2013), Defining Coverage of a Domain Using a Modified Nearest-Neighbor Metric, Proceedings of 31st Society of Experimental Mechanics (SEM) International Modal Analysis Conference (IMAC-XXVIII), Orange County, California, USA. Awards Kimley Horn and Associates Graduate Fellowship, 2012. Clemson University Full Time Graduate Research Assistantship, 2012.