معرفی
Dr. Sabrina Šuman is a Professor of Professional Studies at the University of Rijeka, Croatia. She teaches courses including Information Systems for Management, Decision Support Systems, Programming Basics, and IoT-related subjects. Her research focuses on Data Science, Artificial Intelligence, Cloud Computing, and Quality Management, with a strong emphasis on practical applications in education and business. She actively contributes to the development of IoT educational programs and cloud migration strategies. Her work spans database systems, sentiment analysis, and propaganda detection in digital contexts. She is affiliated with the Veleri-OI IoT School and has advised numerous projects in her field. Office hours are held on Monday and Thursday, and she coordinates student internships and professional practices.
Her research interests include leveraging graph databases (Neo4j), analyzing customer behavior in travel agencies, and improving educational outcomes through IoT integration. She has published extensively on topics such as hierarchical clustering in education, cloud platform comparisons (AWS vs. OpenShift), and standards compliance in database systems. Her work often bridges theoretical models with real-world implementations, such as the Veleri-OI Meteo System web application.
Key contributions include frameworks for knowledge-based data modeling, NLP-driven solutions for entity-relationship modeling, and methodologies for evaluating hotel reviews using sentiment analysis. She emphasizes practical educational tools and cloud migration guidelines for businesses, reflecting her dual focus on academic research and industrial application.
