Principal investigator

Dr Milan Stojković has been working at the Jaroslav Černi Water Institute as a research associate for the last 10 years. Prior to the conducted postdoctoral research at the University of Western Ontario (Canada), he obtained a doctoral degree from the University of Belgrade. His background provides him with the essential technical training for this research. He has gained a lot of experience in system analysis with a focus on system dynamics simulation of cascade reservoirs as a guarantee that the system approach will be implemented within the proposed framework. From previous research, Dr Stojković has 15 papers in top-ranking peer-reviewed journals such as Journal of Hydrologic Engineering (2020), Water (2019), Hydrological Sciences Journal, (2019), Journal of Hydrology (2017), Water Resources Management (2014, 2017, 2019), Journal of Hydrology and Hydromechanics (2015, 2017), etc.

Team members

Dr Dragan Rakić is assistant professor at the Faculty of engineering, University of Kragujevac engaged in teaching courses in applied mechanics. He defended his doctoral dissertation on the topic of numerical analysis of the stability of embankment dams and his scientific research is in the field of constitutive modelling of geomaterials. He has gained experiance in a number of studies of stability analysis of embankment and concrete dams, analysis of tunnel stability and other geotechnical structures.

Dr Višnja Simić is assistant professor of artificial intelligence and machine learning at the Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac. With B.Sc. in Mathematics and Informatics, she has received a Ph.D. in Computer Science in 2016. She is the co-author of several papers published in international peer-reviewed journals and conference proceedings and has participated in research projects funded nationally and by the European Union. Skilled in genetic algorithms, machine learning models and multi-objective optimization with applications in hydroinformatics, HPC and cloud-based solutions.

Dr Damjan Ivetić is assistant professor at the Faculty of Civil Engineering of the University of Belgrade. His PhD is focused on the ability to improve the accuracy of the flow measurements in hydraulic systems with free surface and adverse flow conditions. Primarily, he is investigating the possibility to enhance the bed-mounted electromagnetic (EM) meters usage by employing additional site and sensor-specific data in the measurement process. Additionally, he is involved in the research related to the various hydraulic system analysis, such as the heuristic algorithm-based design and operation optimization and water quality issues.

Lazar Ignjatović is a master in civil engineering and a PhD candidate. He works at the Jaroslav Černi WI as a research assistant. It is expected that his experience in water quality and quantity modelling, will be the key contributors to this project because he made the water balance model in WEAP software for the Study: “Water balance of the Morava river catchment” and done RMA2 and RMA4 analysis for the “Study of the restoration and protection of the Plav lake in Montenegro”. He was associate in the Study: “Analysis of the pollution retention along the Danube river in the Republic of Serbia – Model development and self-purification capacity”, and was involved in the research of the improvement of protection of the reservoirs in Serbia and surface water and groundwater monitoring network optimization. He also studied land use impacts on the water regime in the Danube river basin in CAMARO D Project of the Interreg Danube Transnational Programme.

Luka Stojadinović is a PhD candidate and master of science in civil engineering. He is working at Jaroslav Černi Water institute and his duties include modelling various aspects of hydropower systems using models and software such as HEC-RAS, FEQ (Full Equation), PRMS (Precipitation Runoff Modelling System) as well as development of custom numerical models. He has experience using various methods of machine learning algorithms. His other interests include optimization problems and flow measurement problems. He has advanced knowledge in Python and Matlab, and basic knowledge in C# and Java programming languages.