Data Processing and Analytics in the Digital Age
Mirko Vujošević, PhD
- Regular member of The Academy of Engineering Sciences of Serbia (AESS), Department of mining, geological and system engineering sciences
- Professor of Operations Research, University of Belgrade
Boris Delibašić, PhD
Boris Delibašić, PhD, is a full professor at the Faculty of Organizational Sciences, University of Belgrade, Serbia. His research belongs to the fields of business intelligence, data science, machine learning, multi-criteria decision analysis and data support systems. He published more than twenty papers in international journals with impact factor and is a member of editorial boards of several international journals. Dr Boris Delibašić is the coordinator of EURO working group for decision support systems. He was awarded a PhD degree in Organizational Sciences at the Faculty of Organizational Sciences in Belgrade in 2007. Between 2006 and 2011, he was a visiting lecturer at the Friedrich Schiller University in Jena, Germany. He was awarded a Fullbright scholarship for visiting researchers, which enabled him to spend the academic year of 2011/2012 in the Center for Data Analytics and Biomedical Informatics at the Temple University, USA. Since 2012, dr Boris Delibašić has been the Head of Centre for Business Decision-Making at the Faculty of Organizational Sciences, University of Belgrade.
Ivan Bojičić, PhD
Ivan Bojičić is director of Public Software Solutions Division at Saga. He participated in more than 30 research and commercial software projects in last 18 years. Between 2001. and 2004. he was the member of Laboratory of Information Systems at Faculty of Organizational Sciences. He was a lecturer at the College of Electrical Engineering and Computer Science in Belgrade, from 2009 to 2015. He was a lecturer at the College of Technological Sciences at Aranđelovac between 2014 and 2016. He is the author of dozen scientific papers in the fields of Information Systems Development and Data Warehousing.
This track is devoted to business analytics (descriptive, predictive and prescriptive). The aim of the analytics is to provide tools that would help decision makers to improve and accelerate their decision-making process. Modern organizations store and process even more data relevant to their business. It is well known that smart and fast decisions today depend more on the use of available data and analytics than on gut feeling and personal instincts. That is why the application of smart new technologies such as big data, artificial intelligence and machine learning is of vital importance for companies to stay competitive in the global market.
Date and time
8th June, 18:30 – 20:30, Romanija 1 – part 1
9th June, 09:00 – 11:00, Srbija 1 – part 2
- Data Storage and Management
- Information Systems
- Business Process Modeling
- Data Science and Machine Learning
- Big Data in Analytics
- Optimization in Business Analytics
- Business Statistics and Decision-Making
|April 29||Deadline for paper submission|
|May 15||Notification of paper acceptance|
|May 30||Deadline for early-bird registration|
|June 4||Deadline for standard registration|
|June 07 - 10||Symposium|