CONTACT VCARD
Katerina Tzimourta
Associate Professor at the Department of Product and Systems Design Engineering, University of Western Macedonia, with a teaching portfolio spanning human–computer interaction and advanced interaction technologies, human-centered digital health and clinical decision support, intelligent technologies in healthcare, and quantitative methods for health sciences. In parallel, I serve as a lead researcher on co-funded research projects, covering the full project lifecycle, from proposal writing and project design to the implementation of both the scientific and administrative components. My responsibilities include scientific and technical execution, coordination of work packages and tasks, project management and the delivery of high-impact outputs. Also, I maintain active research collaborations with the Health Data Science Laboratory of the University of Western Macedonia and the Human–Computer Interaction Laboratory of University of Ioannina.
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 research focused on electroencephalography (EEG) and wearable-sensor analytics, using machine-learning methods to study brain and cognitive disorders. My postdoctoral research has included the development of brain–computer interface (BCI) systems, building on my expertise in EEG and biosignal processing. I have contributed to undergraduate and postgraduate education across multiple academic settings, with an emphasis on biomedical data science, applied artificial intelligence, and the human-centered design of digital health and clinical decision-support systems.
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 50 peer-reviewed papers in Q1/Q2 journals and conferences in EEG and AI for health, accumulating over 2,000 citations (Google Scholar). I am also personally engaged with rare disease research, with a particular focus on the extremely rare Kleefstra Syndrome. I run Kleefstra Greece, an informational website dedicated to raising awareness of the syndrome and sharing information with families and the wider community.
Education
Title: “EEG signal Analysis and Development of Brain Computer Interface Systems”
Medical Physics Laboratory, School of Medicine, University of Ioannina, Ioannina, Greece.
Dissertation title: “Electroencephalographic (EEG) signal analysis acquired from clinical EEG recordings and data acquired from wearable devices for brain and cognitive disorders’ analysis”
School of Humanities, Hellenic Open University (H.O.U.), Patra, Greece
M.Ed. in "Education & Technologies in distance teaching and learning systems - Educational Sciences"
Thesis title: “Data mining in Electroencephalographic (EEG) recordings for the development of an automated seizure detection method”
Research Interests
Volunteer Activities
Owner and Blogger
Owner and blogger of a site in Greek providing information about an extremely rare genetic disorder (kleefstrasyndrome.com)
Poster Maker, Blood Donor
Independent Department of Volunteerism, Municipality of Thessaloniki
Events Assistant
Down Syndrome Association of Greece
Basic Life Support (BLS) provider
European Resuscitation Council qualification
