Violeta Cvetkoska is an Associate Professor on the courses: Operational research and Fundamentals of business analytics at “Ss. Cyril and Methodius” University in Skopje, Faculty of Economics – Skopje. She works at the Faculty of Economics – Skopje since December 2007, first as a Junior Teaching Assistant, then as Assistant and Assistant Professor.
She graduated at the Faculty of Economics – Skopje as best student on the Department of Management in 2007; got her Master’s degree at the Faculty for Organizational Sciences at the University in Belgrade on the Operations management program in 2010. Her doctoral dissertation titled: “Methods and models for multi-criteria decision making in management: Empirical study for evaluating the efficiency on certain organizational units in the Republic of Macedonia” was successfully defended on 12.06.2013 at the Faculty of Economics – Skopje, that enabled her to get the scientific level of PhD in the Economic sciences.
She is the author of the published book: Applying multi-criteria decision making methods in banking: The case of Komercijalna Banka AD Skopje. Also, she has published various scientific papers in International journals and Proceedings of International conferences and symposia.
She has participated continuously in national and international trainings, seminars, workshops, conferences, symposia and summer schools that have important impact on her professional development. In addition, special contribution for developing her academic carrier have her study and scientific visits in Universities in Europe, North and South America and Asia.
She contributes important roles as member in organizational boards especially for significant national and international conferences and summer schools. Also, she is a reviewer in several international journals and part of Editorial board.
She works on different projects and she is a member of several international societies and work groups of EURO.
Her area of scientific interest are: Management science / Operational research, Decision science, Quantitative analysis for management, Data science, Business analytics, Mathematical programing (DEA) and Multi-criteria models and methods for business decision making.