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Georgios Antonopoulos

Data Analysis, Neuroimaging, Image Processing, Scientific programming, Embedded Systems

Educational background

EDUCATION
Oct 2013- now... : PhD candidate in Neurosciences (Full Scholarships) University of Liege, BE
Title: Machine Learning applications for characterizing brain-damaged patients’ level of consciousness
Brief Synopsis: In my thesis I applied Machine Learning techniques on functional neuroimaging data for characterizing the level of consciousness of patients with damaged brains. The results provided important information for the neural correlates of consciousness. Additionally, a Python library for processing medical images, which can be used as a complementary tool to the behavioral assessments, was developed and validated.
Scholarships: Actions de Recherche Concertée, Luminus Project, Human Brain Project.

August 2013: MA Electronics and information Processing - University of Patras, GR ( For more information about the study programme click here)
Thesis: Hardware Implementation of HOG Descriptor for Human Detection in Images and Videos

July 2008: BA in Computing Systems Engineering, Technological Educational Institute of Pireaus, GR
Dissertation: Application Development for the Control of 5 DOF Robotic Arm

Awesome Three

Project Four

Fifth Project

Selected Links

Contact Details

Georgios Antonopoulos
PhD Student
Email: georgios . antonopoulos [at] uliege . be
+32 4 366 36 87
GIGA-Consciousness - Coma Science Group




More info about ME

I have been born and raised in Athens Greece. I went to school in Athens and had my BA studies in the neighboring city of Piraeus.
During my BA I got fascinated by μCs and electronics. Therefore, I made my first programming steps with C and Assembly. In my first internship I was lucky enough to work with experts in μCs and thus I decided to have my dissertation in programing an Atmel for controlling a 5-DOF robot-arm. After that I has a short pass from the Mathematics department of the University of Patras, in which I am still enrolled and from time time I follow some courses (more like single subject courses out of personal interest). During one of these courses I saw an announcement for the interdisciplinary MA program entitled "Electronics & Information Processing". I decided to enroll and in the end I graduated with 8.39/10. I gained a lot of knowledge in image processing, data analysis and Embedded Systems. In the MA studies In the MA course Biomedical imaging I worked with medical images. Brain imaging and the information that comes with it regarding the neural correlates got finally my attention. So, I decided to proceed to a PhD in Neurosciences, which I aim to finish in May 2019.

Hobbies
running, cooking, fishing, chess, DIY electronics