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Vladimir MladenovićView profile

Professor

• Symbolic computation and processing
• Artificial intelligence and machine learning
• Deep learning and neural networks
• +7 more

Prof. Dr. Vladimir Mladenović is a Full Professor at the Department of Information Technologies , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. A 1975 native of Paraćin, he earned his Dipl. Ing. from the Faculty of Electronic Engineering, University of Niš (2000), followed by an M.Sc. (2005) and Ph.D. in Technical Sciences (2009) from the University of Kragujevac. His career spans industry (IT Manager, Serbian Glass Factory, 2001–2004), secondary education (teacher, 2004–2009), and academia (Professor of Vocational Studies, 2009–2013) before joining the University of Kragujevac. Research Focus: Symbolic software & tools, higher integration in IT systems Signal & multimedia processing, computer vision & AI/ML 5G/IoT architectures, edge computing, data protection Modern communication systems, web & network technologies He directs the Digital Innovation Lab at his faculty and has authored over 100 peer-reviewed publications in leading journals and conferences, with a strong emphasis on cross-layer modeling, deep learning, and IoT applications. He also co-holds 18 Serbian utility patents covering smart IoT systems ranging from greenhouse monitoring to smartwatch data collection, fire detection, and pedestrian safety. Honors & Professional Standing: Licensed Technology-Transfer Engineer – WIPO & Intellectual Property Office of Serbia (2012) Member, Union of Engineers and Technicians of Serbia Teaching Portfolio: Undergraduate: Modern Software Architectures, Multimedia Systems, Data Protection Master: Modern Communication Systems, Web Programming Doctoral: Modern Network Technologies, Applied Computer Vision

Marina MiloševićView profile

Associate Professor

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +7 more

Dr. Marina Milošević is an Associate Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She specializes in medical image processing, particularly breast cancer detection using thermography and mammography, along with database systems and human-computer interaction. Her work bridges computer engineering with biomedical applications, focusing on practical implementations for healthcare improvement. Her educational background includes a Bachelor's degree in Computer Engineering from the Technical Faculty in Čačak (2010, GPA 9.47) and a PhD from the Faculty of Electronics, University of Niš (2016). She has received multiple awards for academic excellence and was a scholarship recipient from several prestigious institutions including the Fund for Young Talents and the Ministry of Education of Serbia. Dr. Milošević's research interests focus on medical image processing, particularly breast cancer detection using thermography and mammography. She has developed systems for remote mammogram processing and comfort level classification during patient transport. Her work also extends to database systems, geographic information systems, and human-computer interaction. She holds multiple professional certifications in database technologies from INTERGRAPH and ORACLE ACADEMY. Her publication record shows a strong trend toward interdisciplinary research combining computer engineering with medical applications. Recent work has expanded into transportation systems, earthquake detection using mobile phones, and agile software development methodologies. Her research consistently focuses on practical implementations with real-world applications, particularly in healthcare diagnostics and monitoring. Scholarship recipient of the Fund for Young Talents Scholarship recipient of the University of Kragujevac Scholarship recipient of the Ministry of Education of the Republic of Serbia Vuk Karadžić diploma for exceptional academic performance Dr. Milošević teaches across all academic levels, from Bachelor's courses in Fundamentals of Computer Engineering and Databases to PhD-level courses on Virtual Reality Applications in Medicine and Biomedical Image Processing. Her work on a patent for a random number generator based on Geiger-Muller counter technology demonstrates her innovative approach to solving engineering problems. She has been actively involved in adapting engineering education for remote learning during the pandemic. She leads research in the Computer Science Laboratory at the Faculty of Technical Sciences, focusing on medical image processing systems and database applications. Her recent work includes developing web-based systems for remote mammogram processing and analyzing vehicle vibration signals for comfort assessment. She collaborates with researchers across multiple institutions on interdisciplinary projects that bridge computer engineering with healthcare applications.

• Quality Management
• Supply Chain Management
• Business Economics
• +5 more

Dr. Sandra Milunović Koprivica is an Associate Professor at the Department of Social and Human Sciences, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over two decades of academic experience, she specializes in quality management, supply chain systems, and business economics. She teaches across undergraduate, master's, and doctoral programs, delivering courses in Quality Management, Engineering Economic Analysis, Supply Chain Management, and Integrated Quality Management. Her educational journey includes: B.Sc. in Industrial Management (2002, Technical Faculty in Čačak) M.Sc. in Quality Management (2005, Technical Faculty in Čačak) Ph.D. in Quality Management (2013, Faculty of Organizational Sciences, University of Belgrade) Dr. Milunović Koprivica's research primarily focuses on quality management systems and their application in manufacturing industries, with particular emphasis on uncertainty modeling. She has made significant contributions to biomass utilization for energy production, exploring the techno-economic aspects of converting agricultural waste into sustainable energy sources. Her work bridges theoretical frameworks with practical industrial applications, especially in conditions of uncertainty. Analysis of her recent publications reveals an evolving research trajectory that maintains core expertise in quality management while increasingly incorporating computational methods. Her work demonstrates a strong interdisciplinary approach connecting engineering principles with business management and environmental sustainability. Recent publications span from FMEA methods in process quality management to applications of optimization algorithms and natural language processing. Her scholarly impact is evident through her extensive publication record: Over 90 published works including conference papers and journal articles 8 publications in journals indexed in the Science Citation Index Co-author of 2 monographs Active participation in numerous international conferences Dr. Milunović Koprivica has served as a researcher on five projects funded by the Ministry of Science and Environmental Protection of Serbia, covering areas from risk management systems to biomass utilization. She has also participated in quality management system implementation projects as a consultant, holding certificates as a quality management system assessor from Nigel Bauer and AFNOR. While specific laboratory affiliations aren't detailed, her research collaborations with colleagues like Š. Ćurčić, O. Ristić, and A. Marić indicate active participation in interdisciplinary research teams within the Faculty of Technical Sciences.

Dragan ĆetenovićView profile

Associate Professor

• Electrical Power Engineering
• Smart Grids
• Renewable Energy Integration
• +4 more

Dragan Ćetenović is an Associate Professor at the Department of Electrical Power Engineering within the Faculty of Technical Sciences in Čačak , University of Kragujevac . He was promoted to Associate Professor in July 2024 and has been working on advanced algorithms for power system state estimation since his postdoctoral training at the University of Manchester (2019-2021). PhD in Electrical and Computer Engineering (2019), University of Kragujevac Master's in Electrical Power Engineering (2013), University of Kragujevac Bachelor's in Electrical Engineering (2011), University of Kragujevac His research focuses on dynamic state estimation , Kalman filter optimization , and multi-energy network integration with 16+ SCI journal publications. Key article themes include resilient grid planning, anomaly detection, and cyber-physical energy systems. He has received the Aleksandar Avramović Award and recognition for best young researcher papers. Co-investigator on EPSRC-funded Supergen Energy Networks Hub (2018) and MC² projects Project contributor for "Analysis of the TITAN Kosjerić Industrial Network" (2024) Active participant in international conferences (SGSMA, IEEE PES GM, CIRED)

• Electrical Power Engineering
• Power Systems
• Smart Grids
• +3 more

Stefan Čubonović serves as a Lecturer at the Department of Electrical Power Engineering within the Faculty of Technical Sciences, University of Kragujevac, Serbia. His teaching portfolio includes core electrical engineering courses such as Power Transformers, DC and Asynchronous Machines, Synchronous Machines, Distribution Networks, and Electric Drives (2020-2022). His research centers on advanced power system analysis with specialization in distribution network state estimation under non-ideal measurement conditions and machine learning applications for hydroelectric power forecasting. Current work focuses on mitigating non-Gaussian noise impacts in state estimators and developing hybrid neural network models for renewable energy output prediction, demonstrating strong interdisciplinary integration of power engineering and data science. Recent publications (2022-2025) reveal a clear trajectory toward intelligent grid solutions, with 70% of work addressing hydroelectric forecasting and state estimation challenges. The research combines theoretical numerical methods with practical implementations for distribution system monitoring and optimization. Scientific recognition includes: 2nd place in best papers category at ENERGETIKA 2024 His experimental work spans synchrophasor device development for low-voltage networks, spatial sensor imaging platforms, and graphical monitoring environments for distribution system dynamics, reflecting hands-on engagement with power system instrumentation and data acquisition.

Marko ŠućurovićView profile

Assistant Professor

• Electrical Power Engineering
• Electrical Machines
• Electric Motor Drives
• +5 more

Marko Šućurović is an Assistant Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. His expertise spans electrical power engineering with a focus on electrical machines, motor drives, and energy efficiency. He teaches multiple courses including Electrical Installations and Lighting, Electric Motor Drives, and Distribution Networks, while actively contributing to research and development projects in his field. Education: Undergraduate studies in Electrical Power Engineering at Faculty of Technical Sciences in Čačak (2007-2011), average grade 8.82 Master's degree in Electrical and Computer Engineering, module Electrical Power Engineering (2011-2012), thesis: "Measurement and visualization of the rotating magnetic field of the stator of a three-phase and two-phase asynchronous motor" Currently pursuing PhD at Faculty of Electronics in Niš, Department of Electrical Engineering and Computer Science Šućurović's research focuses on Electrical Power Engineering , with particular emphasis on electrical machines and drives , energy efficiency , and electrical installations . His work bridges theoretical concepts with practical applications through educational laboratory setups. He has developed specialized tools for visualizing electromagnetic phenomena and has contributed significantly to understanding thermal effects in electrical systems, cable engineering, and renewable energy integration. His research often combines experimental work with analytical modeling to address real-world engineering challenges. His recent publications (2020-2025) demonstrate a strong focus on energy efficiency , educational methodologies in electrical engineering, and advanced analysis of electrical systems . A significant portion of his work addresses practical implementation challenges in power systems, with increasing attention to renewable energy integration. His research shows a clear progression from fundamental electrical machine analysis toward more complex system-level energy efficiency solutions and innovative educational approaches. Projects: Researcher on project TR33016 "Research, development and implementation of programs and measures for energy efficiency of electric drives" Participant in Erasmus+ Proof-of-Concept project "Torque sensor based on magnetomechanical effect in commercial steel" (TorqSens) Implementation of project "Introduction of laboratory exercises and information technologies in teaching electrical installations and lighting" Šućurović has developed several educational laboratory setups, including systems for measuring photovoltaic-thermal panel characteristics, educational pump systems with pressure and flow regulation capabilities, and equipment for testing low-voltage electrical installations. His work emphasizes practical, hands-on learning approaches in electrical engineering education.

Ivana BjedovView profile

Professor

• Floristic and vegetation diversity
• Invasive plant species
• Plant genetic resources
• +3 more

Ivana Bjedov is a Full Professor at the Faculty of Forestry, University of Belgrade , specializing in Landscape Architecture and Horticulture. She leads research on floristic diversity, invasive species, and plant genetic resources, with over 90 publications. B.Sc. and M.Sc. in Biology (2001, 2005) from University of Belgrade Ph.D. in Taxonomic and Ecological Research of Vaccinium Species (2012) Her research focuses on floristic and vegetation diversity , invasive plant species , and plant genetic resources , with recent work on urban green spaces, climate change impacts, and conservation strategies. She collaborates internationally, including projects with the University of Natural Resources and Life Sciences Vienna and Horizon 2020's ArcticHubs. Scientific Contributions: Over 90 papers, including 2012-2025 studies on Vaccinium taxonomy, invasive species dynamics, and urban ecology Key projects: TEMPUS (Germany, 2003), Austrian Institute of Botany (2004), Ministry of Education grants [43007, 173030]

• Fuzzy Set Theory
• Statistical Analysis
• Educational Technology
• +3 more

Dr. Mariјa Đukić is a Professor at the Department of Mathematics, Faculty of Technical Sciences Čačak, University of Kragujevac. She holds a PhD from the Faculty of Sciences, University of Novi Sad (2018), an MSc from the Technical Faculty Čačak (2010), and a BSc from the Faculty of Mathematics, University of Belgrade (2001). Her research focuses on fuzzy set theory, statistical analysis, educational technology, and decision-making systems. She has contributed to over 15 peer-reviewed publications since 2009, with notable work in computational intelligence, educational process optimization, and healthcare data analysis. She is actively involved in the Erasmus+ project ALLVET (2020–2023), focusing on Bologna Principles implementation in Vocational Education. She teaches courses like Mathematical Analysis, Statistical Methods, and Applied Modeling in both undergraduate and graduate programs. Her work integrates mathematical rigor with practical applications in education technology and quality assurance. Education Background: BSc in Mathematics, University of Belgrade, 2001 MSc in Technical Sciences, University of Kragujevac, 2010 PhD in Natural Sciences, University of Novi Sad, 2018 Research Interests: Exploring fuzzy logic applications in decision-making systems, statistical methodologies for education and healthcare, and pedagogical innovations in e-learning. Her work bridges theoretical mathematics with real-world challenges in education technology adoption and quality control systems. Publications highlight interdisciplinary approaches, with recent trends emphasizing computational intelligence applications and educational process improvement strategies. Her 2020 work on e-learning implementation and 2016 research on intuitionistic fuzzy sets demonstrate cross-domain impact. Award-winning projects include the Erasmus+ funded ALLVET initiative, aiming to enhance vocational teacher capacity through Bologna alignment. She collaborates with international partners like the Metropolitan University (Belgrade) and institutions in Bulgaria through projects like ISC UniTech. Labs/Teams: Active in the Computer Science Laboratory at FTS Čačak, focusing on algorithmic development and educational technology integration.

• Biomedical Engineering
• Production Engineering
• Industrial Engineering
• +3 more

Dr. Goran Devedžić is a Professor at the Department of Production Engineering within the Faculty of Engineering at the University of Kragujevac, Serbia. His academic focus spans Production Engineering and Industrial Engineering, with interdisciplinary contributions in biomedical engineering and medical informatics. He leads research initiatives integrating artificial intelligence, robotics, and simulation technologies into medical diagnostics and manufacturing processes. Research Interests: Biomedical engineering applications in musculoskeletal disorders (e.g., scoliosis, osteoarthritis) Medical imaging and AI-driven diagnostic systems (e.g., CNNs for neurosonography) Advanced manufacturing techniques including reverse engineering and CAD/CAM integration Biomechanical modeling of human movement (gait analysis, joint kinematics) Development of clinical decision-support systems like ScolioMedIS Notable Contributions: His work bridges engineering and healthcare through innovations like AI-based diagnostic algorithms, 3D spinal modeling, and customized orthotic design. Publications emphasize practical applications in smart healthcare technologies and industrial process optimization. Grants & Collaboration: Active in EU-funded initiatives for bioengineering education and cross-border Balkan academic collaboration. Involved in digital manufacturing projects integrating distributed manufacturing processes and knowledge-based systems. Labs/Teams: Leads research groups focused on biomedical informatics, orthopedic engineering, and industrial simulation platforms like IRoSim.

• Applied Mechanics
• Computational Mechanics
• Material Science
• +2 more

Vladimir Dunić is an Associate Professor in Applied Mechanics at the University of Kragujevac's Faculty of Engineering. His research focuses on computational mechanics, phase-field damage modeling, and material behavior under stress. Recent work includes developing constitutive models for aluminum alloys, shape memory alloys, and concrete using finite element methods. He contributes to the PAK software framework, enabling advanced simulations of material failure and structural mechanics. Articles emphasize experimental validation of numerical models for industrial applications.

Mihailo R. JovanovićView profile

Visiting Professor

• Modeling
• Dynamics
• Control of Spatially Distributed Systems
• +3 more

Dr. Mihailo R. Jovanović is a Visiting Professor at the University of Minnesota's Department of Electrical & Computer Engineering, affiliated with the Control Science & Dynamical Systems (CSDy) Center. He holds a Ph.D. from the University of California, Santa Barbara, and a Master's degree from the Faculty of Mechanical Engineering in Belgrade. His research focuses on modeling, dynamics, and control of spatially distributed systems. Additionally, he is associated with the Faculty of Engineering at the University of Kragujevac, Serbia, though his primary academic role is at the University of Minnesota. His academic history includes doctoral studies at UCSB and master’s studies in Belgrade. As a visiting professor, he contributes to interdisciplinary research in control systems and dynamical systems. No specific awards, grants, or advised students are explicitly listed in the provided texts.

Nadica StojanovićView profile

Associate Professor

• Automotive Engineering
• Internal Combustion Engines
• Thermal Systems
• +4 more

Nadica Stojanović is an Associate Professor at the Department for Motor Vehicles and Motors, Faculty of Engineering, University of Kragujevac. Their research focuses on automotive engineering, thermal systems, and internal combustion engines, with a particular emphasis on brake systems, aerodynamics, and renewable energy integration. Key areas include improving vehicle safety through thermal management of braking components, optimizing engine performance via numerical simulations, and advancing sustainable energy solutions. Education: No specific educational details provided in the text. Research Interests: Dr. Stojanović’s work spans mechanical engineering innovations in automotive design, including studies on brake wear reduction, disc brake thermal behavior, and aerodynamic stability enhancements. They also explore renewable energy applications such as geothermal systems and wind energy resource assessment. Their computational expertise includes finite element analysis and CFD modeling for optimizing engine and vehicle systems. Articles Trends: Recent publications emphasize interdisciplinary approaches, combining mechanical engineering with computational methods. Key themes include thermal stress analysis in braking systems, dual-fuel engine combustion, wind energy potential evaluation, and AI-driven solutions for automotive and environmental challenges. Awards and Grants: No scientific awards or funded grants explicitly mentioned in the text. Labs and Teams: Affiliated with the Faculty’s mechanical engineering research groups, collaborating on projects involving vehicle safety, energy efficiency, and advanced materials testing.

Miroslav ŽivkovićView profile

Professor

• Applied Mechanics
• Applied Informatics
• Computer Engineering
• +5 more

Miroslav Živković is a Professor at the Faculty of Engineering of the University of Kragujevac, Serbia. He holds a chair in Applied Mechanics and Automatic Control within the Department of Applied Mechanics and Automatic Control. His academic career focuses on computational mechanics, materials science, and structural analysis. Research interests include finite element method (FEM) applications, phase-field modeling of damage in materials, fluid dynamics simulations, and fatigue analysis of metallic alloys. He leads projects involving software development for engineering analysis tools, such as PAKF-Turbulent and SPH-LifeCycle. His publications emphasize structural health monitoring, material behavior under cyclic loading, and numerical methods for solving complex engineering problems. He collaborates on interdisciplinary projects combining mechanical engineering, computer science, and applied informatics. Key contributions include: Development of advanced FEM solvers for dam safety and industrial applications Experimental and computational studies on ductile fracture in steels and aluminum alloys Phase-field modeling of shape memory alloys and fatigue degradation Software tools for automated testing and parameter identification in engineering systems His work bridges theoretical mechanics with practical engineering solutions, addressing challenges in structural integrity, material durability, and computational modeling.

Slobodan SavićView profile

Professor

• Applied Mechanics
• Tribology
• Mechanical Engineering
• +4 more

Slobodan Savić is a Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac, Serbia. His research focuses on applied mechanics, tribology, mechanical systems optimization, and sustainable energy solutions. He has contributed to advancements in materials science, fluid dynamics, and automotive engineering, with a particular emphasis on reducing emissions and enhancing mechanical component durability. His work spans diverse areas such as composite materials for vehicle suspension systems, tribological behavior of alloys, and optimization of hydraulic pumps. He also explores environmental applications, including biomethane utilization in transport and waste management systems. His research integrates experimental methods with computational modeling to address real-world engineering challenges. Key contributions include studies on particulate matter reduction in diesel engines, stress analysis in mechanical components, and energy-efficient technologies for industrial and domestic systems. His publications reflect a multidisciplinary approach, bridging mechanical engineering with environmental and biomedical sciences.

Milan DespotovićView profile

Professor

• Renewable Energy Systems
• Solar Energy Forecasting
• Energy Efficiency in Buildings
• +3 more

Milan Despotović serves as a Professor in the Department for Energy and Process Engineering at the Faculty of Engineering, University of Kragujevac. His academic career spans over a decade since his election in 2012, with research deeply rooted in energy systems and sustainable engineering practices. His primary research focuses on solar energy forecasting , renewable energy integration , and energy efficiency optimization across building systems and industrial processes. Notable work includes developing advanced metrics for solar irradiance prediction, analyzing electric vehicle adoption barriers in Serbia, and optimizing thermal performance in sports facilities repurposed as emergency warming shelters. His methodology frequently combines statistical modeling , artificial intelligence , and thermodynamic analysis to address energy challenges. Analysis of his recent publications reveals a strong trend toward hybrid forecasting systems that integrate machine learning with meteorological data, particularly for short-term solar irradiance prediction. His work increasingly addresses practical implementation challenges in Serbian energy infrastructure, including grid integration of renewables and sustainable transportation adoption. The interdisciplinary nature of his research bridges traditional process engineering with modern computational techniques. Professor Despotović maintains active research output through the SciDAR repository and contributes to the Faculty's mission in energy engineering education. His office (B-III-9) and direct contact (+381 34 335 990 ext. 730) indicate ongoing engagement with academic activities at the Kragujevac campus.