The University of Sheffield

George Tsialiamanis

George received his M.Eng. in Civil Engineering from the National Technical University of Athens in 2017. He then joined the Dynamics Research Group of the Mechanical Engineering department of the University of Sheffield as a Ph.D. student of the Marie Curie Innovative Training Network DyVirt (Dynamic Virtualisation). He finished his Ph.D. in 2022 and has been working since as a research associate at the same group for the DigiTwin and Digital Twins for High Value Engineering Applications (DTHIVE) projects. His research is focussed on the development of digital twins for structures, structural health monitoring, population-based approaches to structural health monitoring and modelling of structures. His main interests are in the use of machine learning for the aforementioned fields in order to solve problems which are difficult to be dealt with following traditional approaches. He has recently been involved in a biomechanics project and the use of deep learning for medical imaging and for non-destructive evaluation of structures.