Assistant Professor at University of West Attica, with an active teaching portfolio in the broader area of digital health, intelligent technologies in healthcare, and quantitative methods for health sciences. In parallel, I serve as a lead researcher on co-funded research projects, undertaking core responsibilities across scientific and technical implementation, coordination of work packages and tasks, and delivery of high-impact outputs, while maintaining ongoing research collaborations with University of Western Macedonia and University of Ioannina in biomedical technology and human-centered computing environments.

I am an Informatics and Telecommunications Engineer and I received my PhD (2020) from the Department of Medical Physics, Medical School, University of Ioannina, Greece. My doctoral work focused on electroencephalography (EEG) and wearable-sensor analytics using machine learning methods, aiming to support evidence-driven insights for brain and cognitive disorders. Since 2020, I have contributed to undergraduate and postgraduate education across multiple academic settings, with a consistent emphasis on biomedical data science, applied artificial intelligence, and the translation of computational methods into real-world healthcare contexts.

My research interests lie at the intersection of biosignal processing, machine learning, and brain–computer interfaces, with applications across clinical decision support, digital health systems, and personalized analytics for neurological and neurodevelopmental conditions. My published work includes more than 30 peer-reviewed papers in Q1/Q2 journals and conferences in EEG and AI for health, accumulating over 1,500 citations (Google Scholar). I am also personally engaged with rare disease research, with a particular focus on the extremely rare Kleefstra Syndrome, bridging computational innovation with meaningful clinical and societal impact.