Mariјa Đukić

Dr. Mariјa Đukić is a Professor at the Department of Mathematics, Faculty of Technical Sciences Čačak, University of Kragujevac. She holds a PhD from the Faculty of Sciences, University of Novi Sad (2018), an MSc from the Technical Faculty Čačak (2010), and a BSc from the Faculty of Mathematics, University of Belgrade (2001). Her research focuses on fuzzy set theory, statistical analysis, educational technology, and decision-making systems. She has contributed to over 15 peer-reviewed publications since 2009, with notable work in computational intelligence, educational process optimization, and healthcare data analysis. She is actively involved in the Erasmus+ project ALLVET (2020–2023), focusing on Bologna Principles implementation in Vocational Education. She teaches courses like Mathematical Analysis, Statistical Methods, and Applied Modeling in both undergraduate and graduate programs. Her work integrates mathematical rigor with practical applications in education technology and quality assurance.

Education Background:

• BSc in Mathematics, University of Belgrade, 2001
• MSc in Technical Sciences, University of Kragujevac, 2010
• PhD in Natural Sciences, University of Novi Sad, 2018

Research Interests: Exploring fuzzy logic applications in decision-making systems, statistical methodologies for education and healthcare, and pedagogical innovations in e-learning. Her work bridges theoretical mathematics with real-world challenges in education technology adoption and quality control systems.

Publications highlight interdisciplinary approaches, with recent trends emphasizing computational intelligence applications and educational process improvement strategies. Her 2020 work on e-learning implementation and 2016 research on intuitionistic fuzzy sets demonstrate cross-domain impact.

Award-winning projects include the Erasmus+ funded ALLVET initiative, aiming to enhance vocational teacher capacity through Bologna alignment. She collaborates with international partners like the Metropolitan University (Belgrade) and institutions in Bulgaria through projects like ISC UniTech.

Labs/Teams: Active in the Computer Science Laboratory at FTS Čačak, focusing on algorithmic development and educational technology integration.