Google Scholar: https://scholar.google.com/citations?user=yghDtv4AAAAJ&hl=en

LinkedIn: https://www.linkedin.com/in/nikos-tsolakis-152805205/

Github: https://github.com/NTsol22

A highly motivated Computer Engineer with over 5 years of experience in AI, knowledge engineering, and semantic web technologies within EU-funded healthcare research projects. Experienced in designing ontology-based frameworks, semantic knowledge graphs, AI and XAI systems for the interpretation and analysis of health data, focusing on diseases such as Parkinson’s, Multiple Sclerosis, Stroke and CVD-related factors. Skilled in combining machine learning and explainability methods for clinical decision support, developing deep learning models for disease prediction, and creating data models for clinical research in Living Labs. Holds a Master Diploma in Electrical and Computer Engineering (2020) and a Master Diploma in Advanced Computer and Communication Systems (2023), both from Aristotle University of Thessaloniki, Greece. Authored multiple publications on medical AI applications, demonstrating strong problem-solving abilities and teamwork.Currently, a PhD candidate in Knowledge Graphs and Explainable Artificial Intelligence in School of Informatics, AUTh, Greece.