I hold a PhD degree in EEG Brain Imaging and Tomographic Imaging from Imperial College London, Dept. of Electrical and Electronic Engineering, UK. My expertise is in Bayesian inverse problems, optimization techniques, tomographic methods, imaging processing, super-resolution algorithm and machine learning approaches

Currently, I am a post-doctoral Academy researcher working on convex and non-convex optimization algorithms using sparsity constraints.

The applications I am involved, are related to brain source imaging using EEG recording, the estimation of the skull conductivity using EEG and EIT, visualization of single molecules in fluoresence microscopy and static/dynamic ionospheric weather tracking (mainly ionospheric scintillation for GNSS users).

• Academy of Finland, Post-doc research project, 2018-2022
• ATTRACT consortium, EC Horizon 2014-2020, 2019 – 2020
• IKY Fellowship of excellence for postgraduate studies in Greece - Siemens program, 2016-2017
• HYPERMATH project (2014-2016) funded by German BMBF for the development super-resolution algorithms in microscopy and Raman spectroscopy in Muenster University
• PhD grant by John S. Latsis Public Benefit Foundation, 2010-2013 (3 years)
• Studentship EPSRC, UCL, 2008-2009
• Studentship by John S. Latsis Public Benefit Foundation, 2008-2009