ÂÜÀòÂÒÂ×

Eshwar Kumar Ramasetti is a Research and Development Engineer at Bundesanstalt für Materialforschung und -prüfung, specializing in the development of artificial intelligence models for damage detection in structures using deep learning methods. Prior experience includes serving as a Postdoctoral Researcher at Technische Universität Berlin, focusing on digital twin design for gas turbine blades and exploring the impact of operating parameters on damage detection. Eshwar's background encompasses roles as a CFD Simulation Engineer at AM-TEAM and a Marie Skłodowska-Curie Industrial Doctoral Researcher at the University of Oulu and other institutions, where research centered on fluid dynamics, solidification processes, and multi-phase flow simulations. Eshwar holds a Doctor of Science in Process Engineering from the University of Oulu, a Master's degree in Mechanical Engineering from The Manchester Metropolitan University, and a Post Graduate Diploma in Fluid Flow and Thermal Sciences from The University of Manchester.