Myrianthi Hadjicharalambous received a Diploma in Applied Mathematical and Physical Sciences from National Technical University of Athens, in 2010. She was awarded an MSc in Mathematical Modelling, from the Department of Mathematics, at UCL (2011). In 2015, she completed her PhD on patient-specific models of the human heart, at the Division of Imaging Sciences and Biomedical Engineering, at King’s College London.
From 2016 to 2017, Myrianthi worked as a Postdoctoral Research Associate at Kings’ College London, studying the application of MR-Elastography in the heart. She was then employed as a Postdoctoral Researcher at the KIOS Research and Innovation Center of Excellence, at the University of Cyprus, where she investigated methods for uncertainty quantification in artificial neural networks applications. She was recently awarded an “Advanced Postdoctoral Researcher” fellowship by the University of Cyprus, to investigate the influence of key model uncertainties in cardiac mechanics models.
- Patient-specific models of cardiac mechanics
- Computational nonlinear mechanics models, solved within the finite element framework
- Extraction of model-derived biomarkers through material parameter estimation
- Participation in acquisition of clinical and imaging data
- Image processing and image analysis
- Design and fabrication of patient-specific heart phantoms
- Mechanical characterisation of phantom materials and biological tissues
- Machine Learning, online learning in neural networks applications
- Model uncertainty quantification using neural networks