Educational background.

PhD in Neurosciences

University of Liège, Belgium — Full Scholarship

Thesis: Machine Learning Applications for Characterizing Brain-Damaged Patients' Level of Consciousness.

Applied machine learning techniques to functional neuroimaging data to characterize levels of consciousness in patients with severe brain injury. The findings contributed to our understanding of the neural correlates of consciousness. As part of the work, I also developed and validated a Python library for processing medical images, designed as a complementary tool to standard behavioral assessments.

MA in Electronics and Information Processing

University of Patras, Greece

Thesis: Hardware Implementation of HOG Descriptor for Human Detection in Images and Videos.

BA in Computing Systems Engineering

Technological Educational Institute of Piraeus, Greece

Dissertation: Application Development for the Control of a 5-DOF Robotic Arm.