معرفی
Kristina Kovačević is a researcher and teaching collaborator at the Faculty of Economics, University of Osijek, where she has been employed since February 2020. She is affiliated with the Department of Quantitative Methods and Informatics and contributes to courses such as Statistics and Quantitative Methods for Business Decision-Making.
- Educated in Business Economics with a focus on Business Informatics
- Doctoral candidate in Business Economics in a digital environment at the University of Dubrovnik and University of Zagreb since November 2020
Her research interests center on Machine Learning and its applications in energy management, business process optimization, and economic trend prediction. She actively participates in the research project funded by the Croatian Science Foundation, titled "Methodological Framework for Efficient Energy Management Using Smart Data Analytics," which leverages techniques like neural networks, decision trees, and cluster analysis. Her work intersects Quantitative Methods in Business and Intelligent Data Analytics, emphasizing simulation models and business intelligence systems.
While no scientific awards are explicitly mentioned in the provided text, her academic profile reflects engagement in both teaching and research, bridging theoretical and applied aspects of business economics through advanced data analysis methodologies.
