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Department of Software Engineering The GoodOldAI research network Phone: 381 63 8427533 |
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Bio Sketch
Zoran Sevarac is a Assistant Professor at FON - School of Business Administration, University of Belgrade, Serbia. His main research interests include neural networks, fuzzy logic, genetic algorithms, natural language processing, and e-commerce. In his research he focuses mainly on applied artifical intelligence technologies.
Education
- 2004. B.S. in Software engineering and informatics, FON - School of Business Administration, University of Belgrade, Belgrade, Serbia; supervised by prof. dr Vladan Devedzic
- 2009 - M.S. in Software engineering and informatics, FON - School of Business Administration, University of Belgrade, Belgrade, Serbia; supervised by prof. dr Vladan Devedzic.
- 2012 - PhD in Software engineering and informatics, FON - School of Business Administration, University of Belgrade, Serbia; supervised by prof. dr Vladan Devedzic.
Professional experience
Teaching assistant at the Department of Software Engineering, FON - School of Business Administration, University of Belgrade. Working on the following modules:
- Principles of Programing (October 2006 - present)
- Intelligent Systems (March 2007 - present)
Recent projects
- http://neuroph.sourceforge.net Java Neural network framework (Java)
- http://www.keytosteel.com Intelligent materials search algorithm, US patent (C#)
- http://www.internetprodavnice.com E-commerce provider, based on its own original e-commerce engine (PHP)
- http://www.tehnomanija.rs The biggest electronics online shop in Serbia (PHP)
Publications
- Smart Metals: a new method for metal identification based on fuzzy logic, V. Pocajt, Z. Ševarac, A. Kovacevic, Journal of Chemometrics, John Wiley & Sons, Ltd., 2009.
- Objectives matrix method for productivity measurement after new technology introduction and fuzzy reasoning for decision support, J. Obradovic, Z. Ševarac, M. Levi Jakšic, S. Marinkovic, 28th International Conference on Organizational Science Development, 2009.
- Neuro fuzzy reasoner for student modeling, Z. Ševarac, Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, IEEE Computer Society, ICALT 2006, pp.740-744, 5-7 July 2006.
- Artificial neural networks in chromatographic behavior analysis of indinavir and its impurities, B. Jancic, M. Medenica, D. Ivanovic, A. Malenovic, Z. Ševarac, The 26th edition of the International Symposium on Chromatography, 2006.