Dr Vasileios Vavourakis is an Assistant Professor at the Department of Mechanical & Manufacturing Engineering, University of Cyprus (UCY), and a Honorary Senior Lecturer at the Department of Medical Physics & Biomedical Engineering, University College London (UCL). Before, he has worked as a Senior Research Associate and a Marie Skłodowska-Curie Fellow at UCL’s Centre for Medical Image Computing, a Visiting Lecturer and a Research Associate at UCY, and as a post-doctoral fellow at the Foundation for Research and Technology – Hellas (FORTH).
Vasileios holds a PhD in Mechanical Engineering and a Diploma in Aeronautics, both awarded at the University of Patras. He is / has been a member of the International Association of Computational Mechanics, the UK Association for Computational Mechanics, the European Society of Biomechanics, the Technical Chamber of Greece, the Marie Curie Alumni Association, and the Greek Scientists Society.
Vasileios is leading the In silico Modelling Group (ISMG) at UCY. You can read updates about ISMG’s research work and news through this web-site, by following him on ResearchGate, by joining his LinkedIn network, or via ORCID.
The Group
The In silico Modelling Group (ISMG) endeavours to explore niche areas in applied mechanics, biomechanics, biology and medicine using innovative, cutting-edge in silico models. The research interests of ISMG extend across several disciplines in theoretical and applied science, more specifically in: non-linear mechanics analysis of solids and biological tissues, in numerical methods in multiphysics / multiscale problems, mathematical modelling and mathematical biology, and in high-performance computing.
ISMG is a member of UCY’s Computational Sciences Laboratory and the UCY-RespiHub.
Our research vision is to amalgamate models with imaging technologies to developing novel in silico tools for personalized preoperative planning and intraoperative decision making. Our long term aim of research is to investigate the pathophysiology of chronic diseases by combining in silico technologies with in vitro or / and in vivo approaches.
