Alexandra Koulouri

PhD

20152022

Research activity per year

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Personal profile

Profile information

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).

 

Grants and awards

  • Academy of Finland, Post-doc research project, 2018-2021
  • 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

Grants and awards

01.09.2017 - 11.08.2020. . .

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Keywords

  • QA76 Computer software
  • machine learning
  • Bayesian Statistics
  • data analysis
  • inverse problems
  • optimization techniques

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