Resume

Current Position:

Academy of Finland PostDoc researcher, Tampere University

Previous work experience

• Post-doc researcher in the Ionospheric imaging group, EEE Dept., University of Bath, May 2018- Oct. 2018

• Research fellow in the group of Bioelectromagentism, School of Physics, Aristotle University of Thessaloniki, Greece, Nov. 2016 – Oct. 2017

• Teacher in the Master Programme of Bioinformatics and Neuroinformatics, Ionian University, Dept. of Informatics, 7 Pl. Tsirigoti, 49100, Greece

Oct. 2016 – Jan. 2017

• Researcher, 1 Oct. 2014 – 31 July 2016, Imaging group, Institute for Computational and Applied Mathematics, University of Münster. Collaboration with the reproductive clinic of the University of Münster (super-resolution imaging strategies in Raman spectroscopy for DNA detection anomalies)

• PhD researcher, 2010 – 2014, Comm. And Sig. Proc. group, EEE department, Imperial College London, PhD studies and research on algorithms in electrical brain imaging

Fellowships/Funded Projects

• 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

• Co-authoring of a successfully funded project by the ARISTEIA call for the establishment of Cognitive Signal Processing Lab (http://cbp.iti.gr/) My role was to write the materials and methods related to Vector Tomography. The principle investigator was Prof. Maria Petrou

Programming Skills

Programming languages: Matlab and basic knowledge in C/C++

(I haven't program in C for a long long time but I hope I still can do it!)

Free open source libraries: Medical Image processing: ITK, VTK and FieldTrip

Image processing tools: CImg (C++ Template Image Processing Toolkit) and development tools: MS Visual Studio

Other Skills

Bayesian statistics, Inverse problems, Regression, Sparse linear models, Convex and Non-convex optimizations, Level sets and numerical methods in PDEs, Machine learning