Garo Bedonian

Biography

Having recently completed his doctoral program in mechanical engineering at Rensselaer Polytechnic Insitute in 2024, Garo Bedonian has joined Professor Robert Moser's group as a postdoctoral fellow to support the characterization of uncertainties in inductively-coupled plasma torches. His PhD research involved the development of efficient design optimization-under-uncertainty techniques for problems involving high-fidelity physics models. The pursuit of this goal involved additional studies in uncertainty quantification, surrogate modeling, multidisciplinary analysis, and adjoint sensitivity methods for gradient-based optimization. Garo had the opportunity to apply these methods to various aerospace-relevant problems, such as the uncertainty quantification of the X-59 due to atmospheric weather conditions at NASA Ames.

Garo's current research interests include the development and application of multi-fidelity uncertainty quantification techniques for the plasma torch project, as well as the further development of surrogate-based uncertainty quantification and, more generally, the wider availability of uncertainty methods alongside common analysis and optimization tools.