Vojislav Vujičić serves as an Assistant Professor at the Department of Mechanical Engineering , Faculty of Technical Sciences , University of Kragujevac . His work bridges Mechatronic Systems and Industrial Automation , with a focus on Robotics and Simulation tools like MATLAB/Simulink. He teaches courses such as PLC programming and CAD/CAE design. Research Interests include mechatronic process modeling, industrial robot programming, and renewable energy systems. His recent publications (2024) highlight advancements in ABB IRB 120 robot simulation , CNC feed systems , and project-based learning in engineering education. Earlier works (2022–2015) cover photovoltaic-thermal systems, hydraulic modeling, and educational laboratory setups. Publication Trends show a strong emphasis on robotics , simulation , and education technology , often integrating MATLAB and ABB RobotStudio . Collaborations with researchers like Ivan Milićević and Nedeljko Dučić are frequent, spanning topics from 3D printing optimization to control systems .
Jelena Plašić serves as a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences, University of Kragujevac. She holds office number 130 at Saint Sava 65, 32102 Čačak, Serbia, with contact details +381 032/302-734 and email jelena.plasic@ftn.kg.ac.rs. Her academic journey began with a Graduate Computer Scientist degree from the University of Kragujevac's Faculty of Science and Mathematics, followed by a Master of Information Technology Engineer degree from the Faculty of Technical Sciences in Čačak (2020). Her research focuses on data science applications in business intelligence , with particular expertise in cloud-based analytics, CRM systems, and educational technology transformation. She teaches core computing courses including Introduction to Programming, Programming Practicum, Programming Languages, E-Business, and Software Engineering. Her publication record reveals a strong trajectory in applying machine learning and data warehousing to solve business problems, with increasing sophistication from foundational CRM studies (2018) to advanced sustainable supply chain analytics (2025). Recent publications demonstrate a clear evolution toward integrated cloud analytics solutions , with 8 of her 14 works (2020-2025) focusing on Microsoft Fabric, big data modeling, and predictive analytics. Her work bridges theoretical frameworks with practical business applications across diverse sectors including education, healthcare, and manufacturing. She actively contributes to academic discourse through conference organization for ITOP and TIE events, and participates in faculty promotion initiatives.
Ranka Erić serves as an Assistant Professor at the Department of Environmental Engineering in the Protection of Land and Water Resources at the Faculty of Forestry, University of Belgrade. Her academic appointment began in May 2018 following employment as a teaching associate since July 2016. She teaches courses in Hydraulics in the protection of land and water resources, Water management in hilly and mountainous areas, and Sediment management at the basic academic level, as well as Water resources in hilly and mountainous areas at the Master's level. Educated at the University of Belgrade's Faculty of Civil Engineering, she completed her basic academic studies in Hydrotechnics and Water-Environmental Engineering in 2015 with an average grade of 8.96, earning recognition as the best student in her generation. She continued with Master's studies in the same field in 2016 with an exceptional average grade of 9.86. Since October 2016, she has pursued doctoral studies in Hydrology at the Faculty of Civil Engineering in Belgrade. Her research interests focus on Hydrology, Water Resources Management, and Environmental Engineering , with particular expertise in flood prevention systems, hydrological modeling, and water degradation analysis. Her work addresses critical environmental challenges including flash flood prevention, torrential flow monitoring, early warning systems, and integrated floodplain management. She has contributed to developing land and water degradation models through her research in sustainable soil management. Her scholarly output demonstrates consistent focus on practical hydrological applications, with publications spanning flood modeling techniques, urban runoff management, river flow analysis, and comparative hydrograph methods. The research shows progression from foundational hydrological modeling toward more specialized applications in flood prediction and water resource management in mountainous regions. Through her teaching and research, Ranka Erić contributes to the Faculty of Forestry's accreditation efforts in areas including prevention of flash floods, torrential flow monitoring systems, and integrated floodplain management. Her work supports the development of sustainable approaches to water resource challenges in the region.
Danko Milašinović is a Full Professor at the Faculty of Hotel Management and Tourism, University of Kragujevac, Serbia. His academic work spans applied computer science, software development, and biomedical simulations. Education: PhD in Computer Science (2011), University of Kragujevac; BSc in Physics (2006), University of Kragujevac Research Focus: Computer simulations, Linux server systems, finite element modeling, open-source biomedical software development Projects: Involved in EU FP6/FP7 grants (SEE-GRID, ARTreat), national research programs (TR6209, ON174028), and TEMPUS initiatives for tourism education modernization Contact: Office 20, Vrnjačka Banja, Serbia; Email: dmilashinovic@kg.ac.rs; Consultations: Fridays 11-16h His publications highlight interdisciplinary applications of computer science in healthcare, emphasizing deep learning (2022), virtual surgical assessment tools (2021), and finite element frameworks like dfemtoolz (2020). Recent work connects computational modeling with clinical practice, software engineering, and grid computing. Scientific contributions show strong citations (>50 in WoS/Scopus) and collaborations with institutions like University of Jyvaskyla (Finland). Current projects include AI4Dim & SurfQA (2022-2023) for quality control in manufacturing.
Professor Dobrivoje Ćatić serves as a Professor at the Department for Mechanical Constructions and Mechanization within the Faculty of Engineering at the University of Kragujevac , Serbia. He chairs the Machine Structures and Mechanization research group and focuses on mechanical systems reliability, automotive safety, and failure analysis. His research interests emphasize brake systems design , failure mode analysis , and regulatory compliance for vehicles and industrial machinery. Key areas include: Vehicle braking system reliability Automotive component failure prediction Material degradation under environmental stress Lean manufacturing principles in healthcare Recent publications highlight advancements in disc brake dynamics , tire wear safety , and photovoltaic system performance analysis . His work bridges theoretical reliability engineering with practical applications in transportation and manufacturing sectors. Professional contributions include: Development of FMEA/FMECA methodologies EU regulatory compliance for agricultural machinery Acoustic noise reduction in disc brakes Thermal stress analysis of polymers Professor Ćatić collaborates with industry partners on projects addressing mechanical system dependability and safety standards, contributing to safer vehicle and industrial equipment designs.
Gordana Jovičić is a Professor at the Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac. Her research focuses on structural integrity, computational biomechanics, and material fatigue analysis with applications in aerospace, biomedical, and mechanical engineering. She leads projects involving AI integration for medical diagnostics and fracture mechanics of aircraft components. Her work spans finite element analysis (FEA), neural network modeling, and advanced material testing. Education details are not explicitly stated in the provided texts, but her academic career includes extensive contributions to applied mechanics and interdisciplinary research. She collaborates on projects related to coronary stent durability, dental restoration mechanics, and fracture prediction in osteoporosis treatment. Her research also extends to municipal solid waste management optimization using GIS and route-planning algorithms. Notable research themes include: Structural analysis of aircraft engine components (e.g., cylinder assemblies) Biomechanical modeling of human joints and dental systems Fatigue behavior of steel grades (S355J2+N, STRENX 700) Integration of AI for medical decision support (e.g., INTELHEART project) Numerical methods for fracture mechanics and stress analysis Her work often combines experimental validation with computational modeling, emphasizing practical applications in healthcare, aerospace, and civil engineering. She has contributed to open-source frameworks like OpenMandible for mandibular physiology simulation and collaborated on projects funded by the Ministry of Education, Science, and Technological Development of Serbia.
Saša Milojević is an Assistant Professor at the Faculty of Engineering, University of Kragujevac , specializing in the Department for Motor Vehicles and Motors. His research focuses on automotive engineering, tribology, alternative fuels, and mechanical systems optimization. He holds a scientific expertise in motor vehicles and engines, with a strong emphasis on material science applications in automotive components and emission reduction strategies. His work spans composite materials for vehicle components, energy efficiency in hybrid powertrains, and tribological optimization of mechanical systems. Recent studies include biomethane-powered vehicles, particulate matter emission control, and machine learning applications in electric vehicle maintenance. He also explores sustainable logistics for recycling rare metals in hybrid vehicles and digital technologies for waste collection services. Publications highlight advancements in stress analysis of structural components, numerical hybridization optimization, and safety protocols for LNG-fueled trucks. His research reflects a commitment to eco-friendly transportation solutions and industrial maintenance innovation. Affiliated with the University of Kragujevac, he contributes to academic activities through the SciDAR repository, publishing works on vehicle dynamics, tribology, and alternative fuel systems. His interdisciplinary approach bridges mechanical engineering with environmental science and digital technologies.
Prof. Dr. Milutin Petronijevic is a Professor and Head of the MiSGrid Lab at the Faculty of Electronic Engineering, University of Niš. He holds academic roles including leading research groups such as UniGreen and focuses on Electric Drives, Power Converters, Renewable Energy, and Traction Systems. His work emphasizes robust control strategies for electrical systems and grid integration. Research interests span control of power converters, renewable energy technologies, and electric vehicles. He has led numerous industrial projects, including crane control systems and grid stability solutions. His projects often involve collaboration with industries like MIN Holding and JKP Naissus. Prof. Petronijevic teaches courses on Power Transformers, Electric Vehicles, and Advanced Control Systems at both undergraduate and graduate levels. His extensive publications cover topics like sliding mode control, grid-forming inverters, and photovoltaic system performance under environmental stresses. Notable contributions include the development of discrete-time control methodologies and practical implementations of multi-motor drives. He heads labs focused on smart grids and has authored monographs and conference papers on electrical drive optimization and fault-tolerant systems.
Aleksandar V. Jocic is an Assistant Professor at the Faculty of Electronic Engineering, University of Niš, Serbia, specializing in Metrology and Measurement Technology. He has been affiliated with the Department of Telecommunications since 2010. His academic career began with a Bachelor’s degree from the same faculty in 2007. Education: BSc in Telecommunications, Faculty of Electronic Engineering, University of Niš (2007) Research focuses on signal processing techniques such as DPCM compression, ECG signal analysis, and measurement system optimization. His work integrates statistical methods like Monte Carlo simulations and adaptive quantization algorithms. Key contributions include improving ECG signal compression efficiency, enhancing measurement accuracy in wireless systems, and developing remote monitoring systems with collision avoidance features. Publications emphasize interdisciplinary applications in telecommunications, biomedical engineering, and metrology. He collaborates on national/international projects, including the Power Box measuring module (2013). Active in conferences like SAUM and ETAI, his research bridges theoretical analysis and practical engineering solutions.
Đorđe Obradović is affiliated with Singidunum University's Faculty of Informatics and Computing. He holds a PhD from the University of Novi Sad's Faculty of Technical Sciences in Electrical Engineering and Computing (2003–2011), following a Master's (1998–2003) and Bachelor's (1992–1997) in the same field. His research focuses on artificial intelligence, fuzzy logic, image processing, and geospatial systems. Recent work includes air quality assessment frameworks using fuzzy sets, medical image analysis, and GIS applications. He has authored/co-authored numerous journal articles and conference papers, contributing to domains like neural networks, environmental modeling, and computer vision. His books include Artificial Intelligence: Theory and Applications (Springer, 2021) and Intelligent Systems: Models and Applications (Springer, 2013). Collaborations span academic and industrial projects, emphasizing practical applications of computational methods in real-world scenarios. Publications highlight contributions to fuzzy geometry, road lane detection, and SLAM algorithms, with a strong emphasis on interdisciplinary applications. Obradović's work often integrates machine learning with spatial data analysis, reflecting his expertise in both theoretical and applied computer science. His current research trends align with computational solutions for environmental monitoring, medical diagnostics, and geospatial challenges. No formal awards or grants are explicitly mentioned, though his extensive publication record and book authorship underscore his academic impact. His involvement in Singidunum's informatics faculty suggests teaching and mentoring roles, though specific advisees are not listed here. Projects include software systems for GIS-based simulations, sensor networks, and educational platforms.
Jasmina Perišić is an Associate Professor at Singidunum University, Faculty of Informatics and Computing, Department of Information Systems. She was born on August 14, 1982, in Belgrade, Serbia. Her academic career spans over a decade with significant contributions to information systems, electronic business, and artificial intelligence applications. Her educational background includes: Doctoral studies in Electronic Business at Faculty of Organizational Sciences (2011-2018) Master studies in Information Systems and Technologies at Faculty of Organizational Sciences (2008-2011) Bachelor studies in Information Systems at Faculty of Organizational Sciences (2001-2006) High School education in Natural Sciences and Mathematics at Gymnasium "Svetozar Marković" Jagodina (1997-2001) Dr. Perišić's research interests center on information systems, electronic business, semantic web technologies, and artificial intelligence applications. Her work demonstrates a progression from foundational research in semantic web technologies for e-learning systems to cutting-edge applications of machine learning, natural language processing, and computer vision. She has published extensively on semantic adaptation of e-learning systems, SCADA applications, and more recently on metaheuristic-optimized AI models for intrusion detection, sentiment analysis, and harassment detection. Her recent publications (2024-2025) show a strong focus on AI applications, particularly in cybersecurity, natural language processing, and computer vision. These works often employ metaheuristic optimization techniques to enhance machine learning models, demonstrating her interdisciplinary approach that bridges theoretical computer science with practical applications. Her research output spans multiple publication venues including Scientific Reports, International Journal of Robotics and Automation Technology, and various Springer Lecture Notes series. She has co-authored numerous book chapters in prestigious publication series like LNNS and CCIS, indicating recognition within the academic community. Dr. Perišić's collaborative work involves researchers from various institutions and countries, reflecting an international research network. Her publications show consistent collaboration with researchers like M. Milovanović, M. Antonijevic, L. Jovanovic, and N. Bacanin across multiple projects and publications.
Dragana Bešlić Obradović is an Assistant Professor at the Faculty of Finance, Banking and Auditing, Alfa BK University. She holds a PhD from the Faculty of Economics in Subotica (2016), focusing on auditor assessment of client bankruptcy risk. Her academic career spans roles in financial analysis, auditing, and corporate finance research since 2018. Education: PhD: Faculty of Economics in Subotica (2016) MSc: Faculty of Economics in Subotica (2009) Bachelor's: Faculty of Economics in Subotica (2005) Her research focuses on financial statement analysis, insolvency prediction models, earnings quality measurement, and environmental protection reporting. She has contributed to over 15 peer-reviewed articles in journals like Economic Research and conference proceedings such as the International Conference on Modern Management Tools in Tourism. Awards: Best Chapter Award (2020) for work on Serbian hotel income smoothing University of Novi Sad recognition for academic excellence (master's level) She serves on the editorial board of the Journal of Social Sciences at Alfa BK University and has collaborated on projects analyzing the impact of digitalization in accounting during the pandemic.
Dr. Nedeljko Dučić is an Associate Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac. He teaches courses including Flexible Automation, Intelligent Modeling and Control, and Machine Learning in Manufacturing Systems. His research focuses on applying artificial intelligence and machine learning to production processes, casting optimization, and CAD/CAM technologies. Department: Mechanical Engineering University: University of Kragujevac Academic Rank: Associate Professor Email: nedeljko.ducic@ftn.kg.ac.rs Dr. Dučić's research interests include: Artificial Intelligence in Manufacturing Neural Network Applications CAD/CAM/CAE Systems Casting Process Optimization Machine Learning for Industrial Control Project-Based Learning Methodology His recent publications demonstrate trends in: AI-driven casting process improvements Machine learning for 3D printing quality Neural network-based control systems Energy yield optimization Manufacturing process simulation CNC system modeling Projects include: TR35015 (2011-): Computational Intelligence in Production ICIFS (2018-2019): Computational Intelligence in Serbian Foundries
Аnđeliјa Mitrović is an Associate Professor in the Department of Mehatronics at the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at 65 Svetog Save St. in Čačak (Office No. 136), and she can be contacted via phone (+381 32/302-792) or email (andjelija.mitrovic@ftn.kg.ac.rs). Education PhD in Mechanical Engineering (2016) from Faculty of Technical Sciences Novi Sad with dissertation: "Modeling of Cutting Processes" MSc in Information Technology (2010) from Technical Faculty Čačak with thesis: "Implementation of Virtual Environment in MOODLE LMS for Collaborative Learning of 3D Modeling" Diploma in Mechanical Engineering (1996) from Faculty of Mechanical Engineering Belgrade Diploma in Technique and Informatics (2006) from Technical Faculty Čačak Research Focus Her research spans mechanical engineering with emphasis on metal cutting processes, CAD/CAM systems, and manufacturing technology. She has significant expertise in finite element analysis of machining operations, thermal modeling in cutting processes, and the development of virtual learning environments for engineering education. Recent work integrates AI techniques for process optimization. Publication Trends Her 15 most recent publications (2014-2024) show strong focus on computational modeling of manufacturing processes, particularly thermal analysis in milling/turning operations using FEM. Since 2018, she has increasingly explored educational applications of virtual reality and 3D environments. Recent works incorporate machine learning for predictive modeling in machining. Professional Experience 2021-present: Associate Professor, Faculty of Technical Sciences Čačak 2017-2020: Professor of Vocational Studies 2014-2017: Lecturer 2011-2014: Assistant Professor 2006-2011: Professional Associate 2000-2003: Tool Design Engineer at Cutting Tools Factory Čačak 1997-2004: Mechanical Engineering Professor at various technical schools
Dragan Cvetković is a distinguished professor at Singidunum University's Faculty of Informatics and Computing, where he has made significant contributions to computer graphics, multimedia, virtual reality, and aviation engineering. Born on May 5, 1963, in Belgrade, Serbia, he completed all his academic studies at the Mechanical Engineering Faculty in Belgrade, specializing in Aviation (undergraduate 1982-1988, master's 1988-1992, and PhD 1992-1997). His career spans both academic research and practical applications in multiple technological domains. His research interests encompass a broad spectrum including Computer Graphics (2D and 3D), Multimedia Systems, Virtual and Augmented Reality, Web Design, CAD/CAM systems, Flight Dynamics, and Helicopter Design. Professor Cvetković has developed innovative approaches to collaborative virtual environments, web-based laboratories for engineering education, and sustainable aviation technologies. His recent work focuses on additive manufacturing applications for cultural heritage preservation and blockchain integration with digital learning systems. His scholarly output demonstrates consistent productivity with numerous publications spanning from the 1990s to 2025, showing evolution from traditional aerospace engineering topics to contemporary digital technologies. His work bridges the gap between theoretical engineering principles and practical multimedia applications, particularly in educational contexts. His research has appeared in prestigious journals covering aerospace engineering, computer science, and sustainable energy fields. Professor Cvetković has received recognition through his extensive publication record and has contributed significantly to both academic literature and practical technological development. His work on helicopter dynamics, virtual learning environments, and sustainable aviation reflects his ability to connect traditional engineering disciplines with emerging digital technologies.
