Milorad Mirilović

Professor Milorad Mirilović is a full professor at the Department of Economics and Statistics within the Faculty of Veterinary Medicine at the University of Belgrade. With decades of academic experience, he has established himself as a leading expert in veterinary biostatistics and economics. His teaching portfolio includes critical courses such as Methodology of Scientific Research, Biostatistics and Informatics in Biomedical Sciences, Application of Econometric Methods, and Veterinary Economics and Management.

Professor Mirilović's research interests span multiple domains of veterinary science with a strong emphasis on quantitative analysis. His work bridges veterinary medicine with economic and statistical methodologies, focusing on animal production economics, epidemiological studies, food safety assessment, and apiculture science. He has made significant contributions to understanding the economic aspects of veterinary practices and animal husbandry systems through rigorous statistical analysis and modeling.

His extensive publication record demonstrates expertise across diverse areas including veterinary public health, livestock production economics, food quality assessment, and disease epidemiology. Professor Mirilović has published in both high-impact international journals and regional veterinary publications, with recent work focusing on gastrointestinal parasites in dogs, honey bee health, circovirus detection in wild boars, and economic evaluations of aquaculture systems.

As an educator, Professor Mirilović has authored two significant textbooks: 'Biostatistics' (2018) and 'Biostatistics with Informatics' (2013), which serve as essential resources for veterinary students studying quantitative methods. His methodological approach combines theoretical statistical knowledge with practical veterinary applications.

Throughout his career, Professor Mirilović has collaborated extensively with researchers across veterinary disciplines, particularly in epidemiology, food safety, and animal production. His work demonstrates consistent engagement with both theoretical statistical methodologies and their practical applications in solving real-world veterinary problems.