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Varvara has received a diploma on Mechanical Engineering from the National Technical University of Athens and a PhD on CFD-based analysis and optimization methods, both stochastic and deterministic ones, from the same university. Her research interests include development of GPU-enabled software for analysis and optimization, stochastic and gradient based optimization methods, artificial intelligence and machine learning techniques
Vaggelis has received a diploma on Mechanical Engineering from the National Technical University of Athens and a PhD on continuous adjoint methods for turbulent flows from the same university. His research interests revolve around continuous and discrete adjoint methods for shape and topology optimization, grid displacement and parameterization tools, computation of high-order sensitivity derivatives, uncertainty quantification and robust design. Most of his research is centered on developing adjoint-assisted methods within the OpenFOAM environment and he is the main author of the adjointOptimisationFoam application within OpenFOAM, part of which was made publicly available in v1906 and is enhanced since then.He is also a member of the Optimization Technical Committee of OpenFOAM.
Xenofon has received a diploma on Mechanical Engineering from the National Technical University of Athens and a PhD on programming GPU accelerated CFD analysis software from the same university. He has participated in many research projects focusing on the development and enhancement of the continuous (mainly) and discrete adjoint methods for compressible and incompressible fluid flows, in single or multi-disciplinary optimization problems.