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Miroslav BјekićView profile

Professor

• Electrical Power Engineering
• Electric Micromachines
• Simulation and Modeling of Electromechanical Processes
• +4 more

Professor Miroslav Bјekić is a Full Professor at the Department of Power Engineering within the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. With a career spanning over three decades, he has established himself as a leading expert in electrical power engineering, particularly in the areas of electric machines, drives, and energy efficiency. Education background: Graduated in Electrical Engineering (Industrial Power Engineering) from Technical Faculty Čačak in 1991 Completed Magister studies at Faculty of Electrical Engineering, University of Belgrade in 1995 Obtained PhD in 2006 from Technical Faculty Čačak with dissertation on step motors Professor Bјekić's research focuses on electric micromachines, simulation and modeling of electromechanical processes, and laboratory investigation of electric machines and drives . His work bridges theoretical electrical engineering with practical applications, particularly in energy efficiency. He has developed numerous educational tools and software applications that enhance the teaching of complex electrical engineering concepts through visualization and simulation. His publication record demonstrates a consistent research trajectory with recent work increasingly focusing on educational technology applications (particularly GeoGebra tools for electrical machine instruction), advanced motor control algorithms, and energy efficiency optimization. The interdisciplinary nature of his work connects electrical engineering with building science, robotics, and educational methodology. Scientific recognition: Recipient of 2nd award at international PhD seminar in Ohrid, 2005 Coordinator of multiple national and international research projects Active participant in standardization committees for electrical machinery Professor Bјekić has secured significant research funding through national projects including TR33016 'Research, Development and Implementation of Programs and Measures for Energy Efficiency of Electric Drives' and has participated in international initiatives like TEMPUS projects. He has developed accredited teacher training programs and has modernized laboratory facilities for electric machines and drives through project funding and industry collaboration. He leads the Laboratory for Electrical Machines, Electromotor Drives and Automation (www.empa.tfc.kg.ac.rs), which has evolved into a center for both research and educational innovation, featuring remote laboratory experiments that connect university and secondary vocational school education.

Marko RosićView profile

Associate Professor

• Electrical Drives
• Induction Motors
• Torque Ripple Reduction
• +5 more

Dr. Marko Rosić is an Associate Professor at the Department of Power Engineering, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Born on July 31, 1984, in Priboj, he completed his education in electrical engineering, graduating with top honors in 2008. He joined the faculty in 2008 as a Teaching Associate and progressed to Assistant Professor (2016) and Associate Professor (2021). He teaches courses including Electrical Drives, Control of Electrical Drives, and Computer-Aided Design in Power Engineering. His research focuses on: Torque ripple reduction in induction motor drives Energy efficiency in electric drives Magnetic field modeling and hysteresis analysis Educational technology for engineering instruction Control algorithms for electrical machines His recent publications (2021-2025) demonstrate a consistent focus on improving control algorithms for induction motors, advancing magnetic material modeling, developing fault detection systems for DC motors, and creating innovative educational tools like GeoGebra applications for engineering education. This work bridges theoretical research and practical implementations in industrial power systems. Scientific Awards: Most Successful Student Award (during studies) Most Successful Graduate Student in Electrical Engineering Young Researcher Best Paper Award (ETRAN 2013) He has led or contributed to multiple national and international projects including: TR 33016: 'Research and implementation of energy efficiency programs for electric drives' (national) 543667-TEMPUS: 'Building Network of Remote Labs' (international) 'Development of Computer-aided Design curriculum for digital competencies' (project coordinator) He develops laboratory setups including electromagnetic load emulators, DC motor test benches, and remote experimentation platforms. As a steering committee member of the ETRAN society and editor assistant for the Serbian Journal of Electrical Engineering, he actively contributes to the academic community.

• Theoretical Electrical Engineering
• Electromagnetic Field Computation
• High-Voltage Engineering
• +7 more

Nebojša B. Raičević is a Full Professor at the Department of Theoretical Electrical Engineering, Faculty of Electronics, University of Niš, Serbia. He has been a central figure in advancing computational methods in electromagnetics and high-voltage engineering. His academic journey at the same institution spans from undergraduate studies to full professorship, reflecting deep institutional and technical commitment. Education: PhD in Theoretical Electrical Engineering, Faculty of Electronics, University of Niš (2010) Master's in Theoretical Electrical Engineering, Faculty of Electronics, University of Niš (1998) Bachelor's in Theoretical Electrical Engineering, Faculty of Electronics, University of Niš (1989) His research focuses on electromagnetic field computation , particularly through the development and application of the Hybrid Boundary Element Method (HBEM) . His work spans electrostatic, magnetostatic, and transient phenomena, with applications in high-voltage systems, cable terminations, magnetic bearings, and environmental shielding. He has pioneered methods for electric field optimization and developed novel cable accessories with reduced dielectric stress. The recent publications highlight a consistent trend in numerical modeling , field simulation , and optimization of electromagnetic devices . The works span from theoretical formulations to practical engineering solutions, often involving multi-layered media and complex geometries. Keywords across the articles include computational electromagnetics, high-voltage engineering, and power systems, with subfields such as skin effect, touch/step voltages, and magnetic force modeling indicating a strong focus on safety and efficiency in power infrastructure. Scientific Awards: Best Paper Award at international conferences (2 times) Nebojša Raičević has mentored two PhD students and served on committees for over 18 doctoral defenses, in addition to numerous master’s and diploma theses. He has participated in nine domestic and five international research projects, leading two of them. He is an active reviewer for major SCI/SCIE journals and has served as a guest editor for Electronics (MDPI). His administrative roles include Chair of the IEEE EMC Chapter for Serbia and Montenegro, head of department, and member of university councils. He has conducted eleven research visits abroad and attended three scientific courses, demonstrating international engagement. His lab and team activities are centered around computational electromagnetics and high-voltage systems, with strong collaboration across the Faculty of Electronics and international partners.

• Telecommunications
• Wireless Communications
• Signal Processing
• +3 more

Nenad D. Milosevic serves as a Full Professor at the Department of Telecommunications, Faculty of Electronic Engineering, University of Niš, a position he attained in 2023 after earning all academic degrees at this institution. His educational background includes: PhD in Telecommunications (2007) Master's in Telecommunications (2000) Bachelor's in Telecommunications (1997) Research expertise spans Wireless Communications and Signal Processing , with specialized focus on spread spectrum systems, frequency hopping techniques, and free space optics. His work addresses critical challenges including interference rejection in DS-SS/QPSK systems, carrier frequency offset mitigation, and atmospheric turbulence effects in optical wireless channels. Analysis of his 20 impact-factor journal publications reveals consistent contributions to mobile-to-mobile fading channel modeling, 4G/5G networking architectures, and FSO system optimization. Recent work emphasizes practical solutions for real-world wireless communication constraints through advanced modulation and receiver design. He is currently engaged in one national research project advancing telecommunications technologies.

• Computer Engineering
• Digital Logic Design
• Signal Processing
• +3 more

Dragan S. Janković is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. His academic career spans over three decades with continuous research contributions since his doctorate in 2001. His educational background includes: Diploma in Electrical Engineering and Computing (1991) Master's in Electrical Engineering and Computing (1995) PhD in Electrical Engineering and Computing (2001) All obtained at the Faculty of Electronic Engineering, University of Niš. Professor Janković's research focuses on advanced computational methods in digital systems, with particular expertise in multi-valued logic, spectral transforms, and decision diagram techniques. His work bridges theoretical computer science with practical circuit design applications, emphasizing optimization algorithms for logic synthesis and signal processing. Current investigations involve recursive algorithm development for polarity matrices and wavelet-based circuit minimization. His publication record shows consistent contributions to high-impact journals, with research trends indicating sustained focus on computational logic structures and their engineering applications over the past 25 years. Key methodological contributions include novel tabular techniques for multi-valued logic and efficient implementations of decision diagram packages. Professor Janković actively participates in research projects with 5 national and 3 international collaborations currently underway, demonstrating ongoing engagement in the academic community.

• Computer Science
• Information Technology
• Electrical Engineering
• +4 more

Сузана Р. Стојковић is a full Professor at the Faculty of Electronics, University of Niš, where she was elected to the rank of Professor in 2022 in the field of Computing and Informatics. She previously held the position of Associate Professor at the same institution from 2005 in Electrical Engineering and Computing. Her academic credentials include a PhD, a Master's degree earned in 1996, and a Diploma obtained in 1990, all from the Faculty of Electronics. Her research focuses on advanced topics in computer science and electrical engineering, including multiple-valued logic systems, spectral analysis techniques for ternary functions, optimization of decision diagrams, and applications of Walsh-Hadamard transformations. She develops computational methods for logic minimization and signal processing. Analysis of her publications reveals concentrated expertise in spectral methods applied to ternary logic systems, with innovations in decision diagram optimization and function decomposition techniques. Her work bridges theoretical computer science and practical implementations in digital design. She is currently involved in undisclosed national and international research projects but maintains an active academic profile without noted laboratory affiliations or student advising activities.

Александар С. СтанимировићView profile

Associate Professor

• Geographic Information Systems
• Semantic Interoperability
• Ontology Mapping
• +3 more

Александар С. Станимировић serves as an Associate Professor in the Department of Computer Science at the Faculty of Electronic Engineering, University of Niš, appointed in 2024 within the field of Computer Science and Informatics. His academic foundation stems entirely from this institution, where he has maintained continuous affiliation since undergraduate studies. His educational journey includes: Bachelor's degree (Diplomirao) in Electrical Engineering and Computing (2000) Master's degree (Magistrirao) in Electrical Engineering and Computing (2006) Doctorate (Doktorirao) in Electrical Engineering and Computing (year unspecified) Research focuses intensely on Geographic Information Systems with specializations in semantic interoperability, ontology mapping, and component-based spatial frameworks. His work bridges theoretical computer science with practical applications in utility network management and emergency response systems, emphasizing data integration challenges in heterogeneous environments. Early-career publications demonstrate consistent innovation in making geospatial systems interoperable through semantic technologies. Analysis of his 2004-2007 publications reveals a cohesive trajectory: initial work established component-based GIS architectures (2004), evolving toward semantic integration solutions (2005-2006), and culminating in domain-specific implementations for power networks and disaster management (2007). This progression shows increasing sophistication in handling real-world spatial data interoperability problems while maintaining theoretical rigor in ontology engineering. He currently participates in three active research initiatives comprising two national projects and one international collaboration, indicating sustained research momentum beyond his early publication period. While project specifics aren't detailed, their existence confirms ongoing scholarly activity aligned with his GIS expertise. No formal advising relationships or laboratory leadership roles are documented in the available materials.

Биљана П. СтошићView profile

Associate Professor

• Telecommunications
• Signal Processing
• Filter Design
• +2 more

Биљана П. Стошић serves as an Associate Professor in the Department of Telecommunications at the Faculty of Electronic Engineering, University of Niš, Serbia. Appointed to this position in 2025, she maintains active roles in research, teaching, and professional leadership within the telecommunications engineering community. Her academic credentials include a PhD (2008), Master's degree (2004), and Diploma (1999), all in Telecommunications from the Faculty of Electronic Engineering, University of Niš. This foundational education established her expertise in core telecommunications principles and advanced signal processing techniques. Dr. Stošić's research centers on Telecommunications and Signal Processing with specialized focus on Filter Design, Microwave Engineering, and Artificial Neural Networks applications. Her work bridges theoretical innovation with practical implementations in communication systems, particularly through novel filter architectures and teletraffic modeling. Significant contributions include the development of CIC/FIR filter functions, Chebyshev polynomial applications, and neural network solutions for Erlang B formula calculations. Analysis of her 10+ journal publications reveals consistent emphasis on improving signal processing efficiency in communication systems. Key trends include multirate filter design for reduced insertion loss, passband-droop compensation techniques, and computational methods for microwave circuit analysis. Her research demonstrates increasing integration of AI methods with traditional telecommunications engineering. She actively participates in 9 national and 5 international research projects, reflecting strong grant acquisition capabilities. Professional service includes editorial roles for Microwave Review (2014-2022) and extensive reviewing for IEEE Transactions, Electronics Letters, and other top-tier journals. Conference involvement spans technical co-editing for TELSIKS (2007-2023) and program committee roles for ICEST and TSP. As an IEEE Senior Member, she leads the Women in Engineering Affinity Group and MTT-S Chapter for Serbia and Montenegro. Her ERASMUS+ mobility experiences at Technical University of Sofia and Malta College of Arts, Science and Technology demonstrate international collaboration. Professional affiliations include IEEE Signal Processing Society, Microwave Theory and Techniques Society, and the Association for Microwave Technique, Technologies and Systems.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +3 more

Милорад Б. Тошић is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. He earned all his academic degrees (BSc 1989, MSc 1992, PhD 1998) from the same institution in Electrical Engineering and Computer Science. His research spans Semantic Web Technologies, Distributed Systems, and E-Learning Systems, with notable contributions in federated testbeds, trust-based peer assessment, and collaborative wiki tagging. His work bridges theoretical computer science with practical applications in education and embedded systems. His publication trends show consistent contributions from 1991 to 2014, with recent focus shifting from hardware design (1990s) to semantic technologies and e-learning systems (2000s-2010s), demonstrating adaptability across evolving technological domains. US Patent Application No. 09/636,552 for Internet-Enabled Embedded Device Technology validated by Motorola, Microchip, Philips, and Delphi As former Science and Technology Advisor to the Serbian Minister (2002-2003), he contributed to national science policy. His current research involves 4 national and 3 international projects totaling 7 impact-factor journal publications. His patented embedded device technology has achieved commercial validation through major global electronics firms.

• Computer Science
• Algorithms
• Programming Languages
• +3 more

Donnie Praczner serves as an Associate Professor in the Department of Mathematics and Informatics at the University of Novi Sad. His office is located in the Computer Science office (DMI&DF), new part, room 5, with contact telephone (485) and email doni.pracner@dmi.uns.ac.rs. His academic profile is maintained on his personal website at http://perun.dmi.rs/pracner/. His research spans core areas of Computer Science including Algorithms, Programming Languages, and Software Engineering. These interests reflect the department's focus on both theoretical foundations and practical implementations in computational systems, with particular emphasis on efficient problem-solving methodologies and language design principles.

Zlatko LangovićView profile

Professor

• Business information systems
• Software engineering
• Computer networks
• +2 more

Dr. Zlatko Langović serves as a Full Professor at the Faculty of Hotel Management and Tourism in Vrnjačka Banja, University of Kragujevac, Serbia, holding this position since 2017. His academic career spans strategic management instruction and interdisciplinary research bridging business economics with information technology. Prior appointments include faculty roles at Megatrend University's Business Studies Faculty (2008-2017) and teaching mathematics/computer science in Belgrade elementary schools (2004-2008), alongside industry experience in programming and network administration at Eurocom (2003-2004). Basic Academic Studies: Faculty of Mining and Geology, University of Belgrade (Mining Engineer for Mechanization in Mining, 2001) Master's Studies: Faculty of Business Studies, Megatrend University (Master of Economics, 2005) Doctorate: Faculty of Business Studies, Megatrend University (Doctor of Economics, 2007) Langović's research centers on business information systems, software engineering, and computer networks, with emphasis on architecture, organization, and algorithm theory. His work consistently explores how IT infrastructure—including cloud computing, SDN virtualization, and network security—impacts business systems, economic growth, and strategic management in Serbian and European contexts. Recent publications demonstrate increasing integration of sustainability frameworks and pandemic-response modeling. Analysis of his 2020-2025 publications reveals three dominant trajectories: (1) Application of MCDM methods in tourism sustainability and mining engineering; (2) Statistical modeling of economic/health data using novel distributions; (3) ICT-driven solutions for waste management, recruitment, and cultural heritage. The Serbian context remains central, with 60% of studies using local case data while addressing global challenges like digital transformation and pandemic resilience. Langović participated as researcher in the Ministry of Science-funded project "Strategic options for networking the Serbian economy in global economic flows" (2011-2015, Project #179032), examining e-business impacts on domestic markets. He maintains active membership in the Association of Engineers and Technicians of Serbia, though no formal student advisees or dedicated research labs are documented in available materials.

Xavier GoaocView profile

Professor

• Computational Geometry
• Discrete Mathematics
• Combinatorial Convexity
• +5 more

Xavier Goaoc is a Professor of Computer Science at Université de Lorraine, affiliated with the Department of Computer Science & Engineering at École des Mines de Nancy and the Gamble research team (joint between LORIA and INRIA). His research focuses on algorithms and discrete mathematics, particularly discrete and computational geometry, including convex hulls, intersection patterns, topological generalizations, and geometric transversal theory. University: Université de Lorraine School: School of Engineering Department: Department of Computer Science & Engineering Research Team: Gamble (LORIA/INRIA) Emails: xavier.goaoc@loria.fr , xavier.goaoc@univ-lorraine.fr His research spans computational geometry, combinatorial convexity, geometric transversal theory, and random geometric structures. Key topics include homological minors, order types of point sets, and geometric optimization. His 15 most recent publications highlight advancements in computational geometry algorithms, structural complexity, and topological constraints. Notably, his work has received Best Paper Awards at SoCG 2020, 2018, 2016, and 2012. Administrative roles include heading the computer science & engineering department at Mines Nancy and co-chairing the computer science department of the IAEM doctoral school. He is also a member of the Université de Lorraine's ‘pôle AM2I’ council. Teaching activities encompass courses in algorithms, computer architecture, blockchains, and geometric models for vision, with publications and grants reflecting his interdisciplinary impact in computer science and mathematics.

• Artificial Intelligence
• Fuzzy Logic
• Machine Learning
• +3 more

Djordje Obradovic is a researcher at Singidunum University with a focus on artificial intelligence, fuzzy logic, and geospatial analysis. He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Novi Sad (2011). Education: B.Sc., M.Sc., Ph.D. in Electrical Engineering and Computing, University of Novi Sad (1992–2011) His research spans machine learning, neural networks, and fuzzy systems applied to diverse domains including medical imaging, environmental monitoring, and social media analysis. Recent publications highlight his work on air quality modeling and panoramic image processing in GIS applications. Key contributions include intelligent systems for scoliosis screening using low-cost sensors and innovative approaches to big data management through fuzzy sets and graph theory. He actively participates in international conferences like ICIST and Sinteza, often collaborating with multidisciplinary teams. At Singidunum University, Obradovic contributes to postgraduate studies while developing software architectures for geospatial data processing, educational technology, and inspection management systems. Notable projects include SCORM-compatible e-learning platforms, anthropomorphic gait simulation systems, and web-based tools for topographical symbol detection.

• Information and Communication Technologies in Education
• Digital Business
• Artificial Intelligence in Education
• +8 more

Marija Marković Blagojević is a researcher at Singidunum University's Faculty of Informatics and Computing, with 17 years of experience in information and communication technologies (ICT) in education and business. She has published over 70 scientific and professional papers, co-authored the textbook Digital Business , and actively contributes to higher education quality assurance through accreditation and self-evaluation projects. Doctoral Studies: Applied Management, University of Privredna Akademija Novi Sad (2013-2018) Master's Studies: Informatics Management, Union University Belgrade (2009-2010) Bachelor's Studies: Industrial Engineering, Union University Belgrade (2002-2004) Her research focuses on ICT in education , artificial intelligence applications , digital transformation , sustainable development , and modern teaching methodologies . She has led projects like Erasmus+ initiatives on AI in adult education and founded the Center for Innovative Learning 'Better ME - Better WE' in Kruševac. Her 15 most recent publications span topics including IoT security , AI in education , and renewable energy forecasting , with a particular emphasis on digital tools' impact on student engagement and workforce adaptation . She has organized lectures on 'Artificial Intelligence in Education' and 'Business Communication in Digital Environments'. She coordinates academic journals and conferences through systems like Moodle and OJS , and has implemented national projects such as the 'Skillful with Skilled ChatGPT' initiative (2024). Her work aligns with Industry 5.0 principles, integrating humanization and sustainability in technological applications.

• Control Theory
• Automotive Engineering
• Quantum Computing
• +3 more

Uroš Kalabić is a Teaching Professor at Singidunum University in Serbia. He holds a doctoral degree in Electrical and Computer Engineering from the University of Michigan (2015), a Master's degree from the same university (2011), and a Bachelor's degree in Electrical and Computer Engineering from the University of Toronto (2010). His research focuses on advanced control systems and their applications in automotive engineering, aerospace, and quantum computing. Doctoral studies: University of Michigan, Electrical and Computer Engineering (2015) Master's studies: University of Michigan, Electrical and Computer Engineering (2011) Undergraduate studies: University of Toronto, Electrical and Computer Engineering (2010) Kalabić's research interests span stochastic model predictive control , quantum optimization , autonomous traffic systems , and nonlinear control on manifolds . His work includes applications in automotive engine control, spacecraft attitude control, quantum search algorithms, and sustainable transportation schemes. He has published in top journals like AUTOMATICA and the Journal of Dynamic Systems, Measurement, and Control, focusing on control theory and its interdisciplinary applications. His publications reveal expertise in stochastic control , reinforcement learning , quantum computing , and transportation optimization . Notable contributions include constraint-separation principles in MPC, reference governors for probabilistic systems, and deep learning-based traffic management frameworks. Currently, no scientific awards or honors are documented in the provided materials. Similarly, there is no mention of student advising roles, laboratory leadership, or active research grants in the available descriptions.