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M.Sc. Danko Markovinović, Instructor

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Bojana Dalbelo-Bašić - Biography

Bojana Dalbelo Ba�i? received the B.Sc degree in Mathematics in 1982 from the University of Zagreb, Faculty of Natural Sciences and Mathematics. She got Master�s degree in 1993 from the Electrotechnical Faculty of the University of Zagreb on the subject "Register Allocation via Graph Colouring". In 1997, she defended Ph.D thesis "Temporal Knowledge Representation and Reasoning Using Fuzzy and Fuzzy Time Petri Nets" (advisor Prof. Slobodan Ribari?) at the Faculty of Electrical Engineering and Computing, University of Zagreb. From 1982 to 1990 she worked as a programmer and project manager in Civil Engineering Institute of Croatia and Iskra - Delta Computers and Programming company, respectively. In 1990 she joined University of Zagreb, Faculty of Forestry, Department of Mathematics and Technical Sciences. Most of her research work at that time was connected with the study and development of mathematical and statistical models applied on real-world problems from the area of biosciences. Her teaching activities included: "Mathematical Methods", "Statistical Methods for Engineers" and �Introduction to Computer Science�. In 2000 she joined the Faculty of Electrical Engineering and Computing, University of Zagreb, as assistant professor. Her current research focuses on using machine learning and statistical methods in knowledge discovery and data mining with particular interest in learning from data in intelligent and multiagent systems. She received the DAAD (German Academic Exchange) grant for a study visit at the Friedrich-Alexander-Universit�t Erlangen-N�rnberg in May and July 2000. She was supported by NATO Advanced Study Institute to participate �NATO-ASI on Learning Theory and Practice�, in July 2002, K.U. Leuven, Belgium. She has developed several undergraduate and graduate courses at University of Zagreb on intelligent systems, soft computing, machine learning, knowledge discovery, and neural networks. Since 1992 she has published forty professional and scientific papers.