Find Academic Supervisors

Dragan S. Antic is a Professor at the Department of Automation, Faculty of Electronics, University of Niš. He earned his PhD in Automation from the same institution in 1994, following a Master's (1991) and Bachelor's (1987) degree in the same field. His research focuses on control systems, signal processing, and neuro-fuzzy systems, with a strong emphasis on sliding mode control, orthogonal function-based modeling, and adaptive neural networks. He has published 51 papers in journals with impact factors and currently participates in 2 national and 8 international research projects. Key research areas include dynamic system modeling, quasi-orthogonal filters, and finite-time stability analysis of time-delay systems. His work often integrates mathematical techniques with engineering applications, such as anti-lock braking systems and PID control optimization. Contact details include his office at Aleksandra Medvedeva 4, Niš, and the email dragan.antic@elfak.ni.ac.rs. Professional contributions include foundational research in endocrine neural networks and low-pass filter design, with notable publications in journals like Electronics Letters and Journal of the Franklin Institute . His efforts bridge theoretical advancements with practical engineering solutions in automation and control.

• Control Systems
• Signal Processing
• Neuro-Fuzzy Systems
• +3 more

Marko T. Milojkovic is a full professor at the Faculty of Electronics, University of Nis, leading the Department of Automation since 2022. He holds a PhD in Systems Management (2012), Master's in Automation (2008), and a Bachelor's in Computer Engineering & Informatics (2003), all from the same institution. His research focuses on adaptive control systems, neural networks, and dynamical systems modeling, with 27 papers in impact-factor journals. He currently heads the Laboratory for Modeling, Simulation and Systems Management and participates in 2 national and 2 international projects. Education: PhD: Systems Management (2012) MSc: Automation (2008) BSc: Computer Engineering & Informatics (2003) Research interests include neuro-fuzzy systems, MIMO system optimization, and endocrine neural networks applied to adaptive control. His publications demonstrate expertise in quasi-orthogonal filters, sliding mode control, and time-series forecasting. No scientific awards are explicitly mentioned, but his extensive project participation highlights active collaboration in control systems and automation. Prof. Milojkovic's work bridges theoretical modeling and practical applications, with recent emphasis on intelligent control systems and nonlinear dynamics. His laboratory facilitates interdisciplinary projects addressing complex system management challenges.

• Control Systems
• Signal Processing
• Neural Networks
• +4 more

Professor Nebojsa Mitrović is a distinguished faculty member at the Electronic Faculty of the University of Niš, Serbia, where he serves as a Professor in the Department of Power Engineering. With decades of academic and research experience, he has established himself as a leading expert in electric motor drives and power electronics. His work bridges theoretical research with practical industrial applications, particularly in crane systems and power quality issues. Professor Mitrović's research interests span electric motor drives, power electronics, control systems for electrical machines, induction motors, voltage sag effects on electrical drives, crane applications, renewable energy systems, and electromechanical energy conversion. His work demonstrates a consistent focus on improving the performance and reliability of electrical drive systems, particularly in industrial settings where power quality issues can significantly impact operations. He has made substantial contributions to understanding how voltage sags affect various types of motor drives and has developed innovative control strategies to mitigate these effects. His extensive publication record shows a clear research trajectory focusing on electric motor drives and power electronics. The most recent publications (2020-2023) demonstrate continued innovation in grid-connected converters, microgrid stability, and modern testing methodologies for electric drives. Earlier works (2006-2017) established foundational knowledge in direct torque control, multi-motor drive systems for cranes, and voltage sag effects on industrial drives. His research consistently addresses practical engineering challenges while advancing theoretical understanding in the field. Professor Mitrović has contributed significantly to academic literature through numerous journal articles, conference papers, and book chapters. His 2009 monograph "Implementacija algoritama za upravljanje momentom i fluksom asinhronih motora" (Implementation of Algorithms for Torque and Flux Control of Induction Motors) and the 2012 book chapter "Electrical Drives for Crane Application" in Mechanical Engineering published by InTech represent substantial contributions to the field. He has also co-authored educational materials including solved problem collections and laboratory exercises for electric motor drives courses. Professor Mitrović actively supervises student research and has been involved in numerous technical projects, including the development of laboratory setups for testing vector controlled induction motor drives. His work has practical applications in various industries, particularly in crane systems and industrial drive applications. He has collaborated extensively with colleagues including Vojkan Kostić, Milutin Petronijević, and Bojan Banković on research projects funded by various Serbian research initiatives. His laboratory work includes the development of testing systems for electric drives and the implementation of advanced control algorithms for industrial applications. Professor Mitrović is associated with the Power Engineering Department at the University of Niš, where he teaches courses including Electric Motor Drives, Selected Topics in Electric Motor Drives, Electrical Machines, Electromechanical Energy Conversion, and Modeling of Electrical Machines and Drives. His teaching reflects his research expertise and provides students with both theoretical knowledge and practical skills in electric drive systems.

• Electric Motor Drives
• Power Electronics
• Control Systems for Electrical Machines
• +5 more

Danijela Tadić is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac, Serbia. Her primary research focuses on decision-making models under uncertainty, manufacturing process optimization, failure mode analysis, and sustainable recycling technologies in the automotive and industrial sectors. She holds a leadership role in the Faculty of Engineering, contributing to academic governance and curriculum development. Her scientific work integrates fuzzy logic systems, multi-criteria decision-making (MCDM), and optimization algorithms to address complex engineering challenges. Notable areas include risk management in supply chains, quality improvement in manufacturing processes, and environmental impact assessment of recycling equipment. She has collaborated on projects evaluating organizational resilience, strategic failure management, and resource planning in SMEs. Prof. Tadić’s publications emphasize practical industrial applications, such as PFMEA integration with fuzzy decision tools, cloud platform selection frameworks, and electric vehicle evaluation models. Her work bridges theoretical advancements in fuzzy set theory with real-world manufacturing and environmental sustainability problems. She actively participates in academic and professional networks, contributing to conferences and journals in production engineering and industrial systems. Her expertise spans project lifecycle management, lean manufacturing, and the evaluation of recycling technologies for end-of-life vehicles (ELVs).

• Production Engineering
• Industrial Engineering
• Decision-Making Models
• +5 more

Marina Marjanovic is a faculty member at Singidunum University in Belgrade, Serbia, affiliated with the Faculty of Informatics and Computing. She maintains an active research profile with numerous publications spanning machine learning, computer vision, and signal processing applications. Her work demonstrates strong interdisciplinary connections between theoretical AI development and practical implementations in healthcare, security, and digital government services. Dr. Marjanovic earned her Doctoral degree in Signals and Systems from Universidad Politecnica de Madrid in 2007, following a Master's degree in the same field from the same institution in 2005. Her foundational education includes basic studies in Telecommunications at the Faculty of Electrical Engineering in Belgrade, and secondary education at the third Belgrade high school with a focus on natural sciences. This strong technical background has enabled her transition from traditional signal processing to contemporary AI research. Her research interests center around machine learning and computer vision, with significant contributions to emotion recognition, sign language processing, and explainable AI. She has demonstrated particular expertise in developing robust AI models that address real-world challenges such as demographic bias in age estimation systems, vulnerability to adversarial attacks in deep learning models, and accurate medical diagnostics through imaging analysis. Her recent work shows increasing focus on healthcare applications, security implications of AI systems, and making AI more transparent and interpretable. Analysis of her publication trajectory reveals a clear evolution from signal processing foundations toward contemporary AI applications. Her recent work (2022-2024) shows strong emphasis on healthcare AI, security applications, and explainability, often combining traditional machine learning approaches with novel optimization techniques. She frequently collaborates with international researchers across multiple institutions, demonstrating the global reach of her work. Dr. Marjanovic has established herself as a productive researcher with consistent publication output across reputable journals and conferences including IEEE transactions, Springer publications, and specialized AI conferences. Her collaborative approach is evident through her extensive co-authorship network spanning multiple Serbian and international institutions. She actively contributes to the academic community through conference organization (including Sinteza conferences) and participation in research projects at Singidunum University's research institutes. Her work bridges theoretical advancements with practical implementations across multiple domains, demonstrating versatility and impact across the AI research landscape.

• Machine Learning
• Computer Vision
• Emotion Recognition
• +5 more

Prof. Dr Dragan Tasić is a distinguished Professor at the Power Engineering Department of the Faculty of Electronic Engineering, University of Niš, Serbia. With decades of academic and research experience, he has established himself as a leading expert in power transmission, power system components, and electrical cable technology. His work spans theoretical research, practical applications, and educational contributions to the field of electrical engineering. Dr. Tasić's research interests focus on power transmission systems, electrical cable technology, relay protection, power system analysis, and grounding systems. His work particularly emphasizes thermal aspects of power cables, electrical energy losses in distribution networks, and innovative solutions for improving cable performance. He has pioneered research on thermal management of underground cables, including the use of hydronic asphalt pavements and cool pavements to eliminate hot spots and increase cable ampacity. His publication record demonstrates consistent productivity with numerous books, journal articles, and conference papers spanning over three decades. Recent research (2019-2023) shows continued innovation in areas such as thermal aging management of underground cables, photovoltaic system integration, and optimization of distribution networks with energy storage. His work frequently employs advanced computational methods including Finite Element Method (FEM) and hybrid optimization algorithms. Dr. Tasić has led and participated in numerous significant research projects funded by Serbian government agencies, focusing on energy efficiency, power system optimization, and technological improvements in electrical distribution networks. His work has practical applications in the Serbian power industry and contributes to international knowledge in electrical engineering. As an educator, Dr. Tasić has contributed to curriculum development and has authored multiple textbooks that are widely used in electrical engineering education in Serbia. His teaching focuses on core power engineering subjects including power transmission, electrical networks, and power cable technology.

• Power Transmission
• Power System Components
• Power Cable Technology
• +6 more

Dragan D. Mancic is a full professor at the Faculty of Electronics, University of Niš, Serbia, where he has been actively contributing since earning his PhD in 2002. He holds a permanent academic position in the Department of Electronics and continues to engage in national research projects and scientific publications. Research Interests: His work spans electronics, power electronics, ultrasonic transducers, piezoceramics, impedance spectroscopy, and thermal modeling. He applies these to areas such as renewable energy systems, friction stir welding, and ceramic material characterization. His interdisciplinary focus bridges electrical engineering, materials science, and applied physics. The recent publications highlight consistent research in transducer design, thermal analysis in manufacturing, and electrical characterization of doped ceramics. These works reflect a strong trend toward modeling, simulation, and experimental validation in both biomedical and industrial applications. Scientific Projects: EE-273023B: Development of solar radiation receivers TR-33035: Grid-connected rotating photovoltaic system III-43014: Remote sensing and environmental monitoring Dr. Mancic has co-authored three monographs and has 15 publications in journals with impact factors. He advises students and researchers through collaborative projects and academic supervision, though specific advisees are not listed. He is actively involved in scientific research management under the Ministry of Science. Labs and Research Teams: He collaborates within research groups focused on power electronics, ultrasonic systems, and advanced materials at the Faculty of Electronics in Niš, contributing to both theoretical and applied engineering solutions.

• Electronics
• Power Electronics
• Ultrasonic Transducers
• +12 more

Vesna Javor is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where she is affiliated with the Department of Electrical Power Engineering. She earned her PhD in 2009 and completed her undergraduate studies in 1999, both in Theoretical Electrical Engineering at the same institution. She was promoted to full professor in 2023. Her research focuses on lightning electromagnetic fields , lightning current modeling , electromagnetic compatibility (EMC) , and power system transients . She has made significant contributions to modeling double- and two-peaked lightning currents, Fourier transform applications in field computation, and compliance with IEC 62305 standards. Her work bridges theoretical electrical engineering with practical applications in high-voltage systems and medical device safety. The recent publications (2009–2012) reflect a strong focus on lightning physics, transient electromagnetic phenomena, and EMC. They span modeling techniques, standard compliance, and real-world deployment of lightning detection networks. Keywords across these works include Electromagnetics, Power Systems, and Signal Processing, with subfields ranging from return-stroke dynamics to medical EMC. Scientific and Professional Leadership: President of the IEEE EMC Chapter Head of DAAD Project 'Electrical Engineering' (2005–2006) President of the Organizing Committee of the biennial PES Conference Author of 3 textbooks and ~80 scientific papers She is currently participating in 2 national and 1 international research project . While no formal advising or grant details are listed, her role as a full professor and project leader suggests active mentorship and research leadership. She has contributed to international monographs and advanced educational and research initiatives at her faculty. She is associated with the research environment at the Faculty of Electronics, particularly in high-voltage and EMC research, and has led efforts in deploying the European LINET lightning detection network in Serbia.

• Electromagnetic Compatibility (EMC)
• Lightning Electromagnetic Fields
• Lightning Current Modeling
• +7 more

Ivan Miletić is an Associate Professor at the Faculty of Engineering Sciences, University of Kragujevac, specializing in Machine Structures and Mechanization. His academic career at the university includes significant contributions to mechanical engineering research and education within the Department of mechanical structures and mechanization. His research interests span across several key areas in mechanical engineering, with a strong focus on machine design, structural analysis, and materials science. Professor Miletić has made substantial contributions to the understanding of cycloid reducers, gear design, and the mechanical properties of advanced materials. His work bridges theoretical analysis with practical applications in automotive, aerospace, and industrial machinery sectors. Professor Miletić's publication record demonstrates a strong focus on mechanical design optimization and structural analysis. His recent work has particularly emphasized the development and analysis of cycloid reducers, gear systems, and advanced composites. He has also contributed significantly to design automation methodologies and structural optimization techniques, applying advanced computational approaches to solve complex engineering problems across multiple disciplines. His scholarly contributions have practical applications in diverse fields including automotive engineering, aerospace technology, and industrial machinery design. Professor Miletić maintains an active research profile with publications spanning from 2020 to 2025, indicating ongoing scholarly productivity in mechanical engineering disciplines. As an educator, Professor Miletić has been instrumental in developing curriculum and mentoring students in mechanical engineering disciplines. His election to the position of Associate Professor in 2021 reflects his significant contributions to both research and teaching at the Faculty of Engineering Sciences.

• Mechanical Engineering
• Machine Structures
• Mechanization
• +5 more

Nikola B. Dankovic is an Assistant Professor at the Faculty of Electronics in Niš, part of the University of Niš, within the Department of Automation. He earned his PhD in Systems Management from the same faculty in 2018, following a Master's degree from the Faculty of Electronics' Department of Telecommunications in 2009. His academic career began with an appointment as an Assistant Professor in 2013, reaffirmed in 2020. Research interests include dynamical systems modeling, orthogonal filter design, control systems, and thermodynamic applications. He has contributed to fields like DPCM system analysis, nonlinear MIMO control, and cascade filter optimization. His work frequently integrates mathematical techniques such as Monte Carlo methods and bilinear transformations. Publications span journals like International Journal of Electronics , Acta Polytechnica Hungarica , and Filomat , focusing on theoretical and applied aspects of signal processing and systems engineering. He collaborates on national and international research projects, though no specific awards are noted. Contact information includes his email nikola.dankovic@elfak.ni.ac.rs and institutional address in Niš.

• Systems Management
• Dynamical Systems Modeling
• Signal Processing
• +3 more

Milan R. Dincic is an Associate Professor at the University of Niš, Faculty of Electronic Engineering, Department of Telecommunications. He holds a PhD in Metrology and Measurement Technology (2017) and a Master’s degree in Telecommunications (2012), both from the same institution. His academic career includes research on quantization techniques, signal processing, and metrology applications. Dr. Dincic’s research focuses on optimizing quantizers for measurement signals, including Gaussian and Laplacian distributions. He has contributed to adaptive quantization, lossless coding algorithms, and hybrid systems integrating codecs like ITU-T G.711. His work bridges theoretical signal processing with practical applications in telecommunications and sensor systems. His publications (26 journal articles) emphasize quantizer design, image sampling, and compression techniques. He co-authored the textbook "Sensors in Vehicles" (2014). Current projects include national/international collaborations in metrology and measurement technology. His lab focuses on advancing signal processing methodologies for precision measurement systems.

• Metrology and Measurement Technology
• Signal Processing
• Data Compression
• +3 more

Nenad N. Cvetkovic is a Full Professor at the Faculty of Electronics, University of Niš, specializing in Theoretical Electrical Engineering. He earned his PhD (2009), MSc (2002), and BSc (1995) from the same institution. His research focuses on electromagnetic field interactions with biological tissues, grounding system design, and numerical modeling of geoelectrical phenomena. Key areas include mobile phone radiation effects on human tissues, SAR distribution in anatomical models, and innovative approaches to multi-layered soil grounding analysis. He has contributed over 19 peer-reviewed articles in high-impact journals, addressing topics like dental implant EM interactions, orthodontic brace SAR profiles, and optimizations for grounding systems. His work bridges theoretical rigor with practical applications in electrical safety, biomedical engineering, and environmental geoelectrics. Prof. Cvetkovic is actively engaged in national/international research projects and speaks English and German fluently. His laboratory activities include finite element method (FEM) simulations, experimental validation of grounding models, and collaborations on standards for non-ionizing radiation exposure assessment.

• Theoretical Electrical Engineering
• Electromagnetics
• Bioelectromagnetics
• +3 more

Miloš Dobrojević serves as a Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic foundation includes doctoral, postgraduate, and bachelor studies at the University of Belgrade's Faculty of Mechanical Engineering. His research spans Artificial Intelligence , Internet of Things , and Computer Vision with emphasis on practical applications. Key focus areas include metaheuristic optimization of neural networks for tasks like crop yield prediction, medical diagnostics, and cybersecurity. Recent work demonstrates strong industry relevance in precision agriculture, drone detection systems, and sustainable homestead automation. Analysis of his 15 most recent publications reveals a consistent pattern of applying modified metaheuristics to enhance deep learning models across diverse domains. His work bridges theoretical AI advancements with real-world implementations in agriculture, healthcare, and energy systems. Scientific Contributions: Author of 3 textbooks including 'Veb informacioni sistemi' (2024) and 'Veb programiranje' (2021) Published 40+ journal/conference papers between 2003-2025 Active contributor to Springer book chapters on AI applications Dobrojević's work demonstrates strong practical orientation with projects in Serbian renewable energy transition, flood prevention systems, and municipal e-government solutions. His recent collaborations with researchers like N. Bacanin and M. Zivkovic show consistent output in high-impact journals. Current projects focus on generative AI for medical data and computer vision for agricultural optimization. His laboratory work centers on IoT-based monitoring systems for environmental applications, particularly water management in mountainous regions. Ongoing research explores drone detection networks and waste classification systems using advanced computer vision techniques.

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +4 more

Nada Damljanović is a Full Professor at the Department of Mathematics within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. Her academic progression includes positions as Junior Teaching Assistant (2003-2007), Teaching Assistant (2007-2012), Assistant Professor (2012-2017), Associate Professor (2017-2022), and Full Professor (2022-present). Education includes: BSc in Mathematics (2002) from University of Belgrade MSc in Mathematics (2007) from University of Niš PhD in Mathematics (2012) from University of Niš Her research focuses on automata theory , fuzzy systems , semiring structures , and multi-criteria decision-making methods . She investigates mathematical foundations of weighted automata, lattice-based algebraic structures, and applications in engineering decision models. Recent work explores fuzzy relation inequalities and computational methods for automata equivalence. Publications predominantly address mathematical modeling in computer science and decision theory. Most articles focus on automata bisimulations (2010-2014), shifting toward multi-criteria analysis and applied mathematical methods in engineering (2015-2020). Recent works integrate mathematical frameworks with signal processing and electrical engineering applications. She leads/participates in key research projects: Quantitative automata models (QUAM, 2022-2024) Computation methods development (174013, 2011-present) Weighted pushdown automata (DFG-funded, 2019-2020) Algebraic structures in information processing (144011, 2006-2010) Editorial activities include Co-Editor-in-Chief of Mathematica Moravica and Associate Editor for Kragujevac Journal of Mathematics . Teaches undergraduate courses in Mathematics, Discrete Mathematics, and Quantitative Methods, plus graduate courses in Mathematical Modeling and Fuzzy Systems.

• Mathematics
• Automata Theory
• Fuzzy Systems
• +4 more

Nikola I. Mitrovic is a Lecturer at the Faculty of Electronic Engineering, University of Niš, specializing in Microelectronics and Microsystems. His academic career began with a Master's degree (2018) and undergraduate degree (2017) in Electronic Components and Microsystems from the same institution. He has been actively involved in teaching and research since 2020, focusing on semiconductor device reliability and renewable energy technologies. Education Bachelor's Degree: Electronic Components and Microsystems, Faculty of Electronic Engineering, University of Niš (2017) Master's Degree: Electronics and Microsystems, Faculty of Electronic Engineering, University of Niš (2018) Research Interests His research emphasizes semiconductor device modeling, particularly in power VDMOSFETs under stress conditions, and solar energy systems. He explores failure mechanisms in microelectronics and develops practical educational tools for engineering students. His work bridges theoretical analysis (e.g., NBTS/NBTI effects) with applied technologies like solar tracking systems and RFID-based access controls. Publications He has published extensively in IEEE journals and international conferences, focusing on topics such as device reliability, solar cell characterization, and embedded system design. His work demonstrates a blend of semiconductor physics, mathematical modeling (e.g., Least Square Method applications), and practical engineering solutions. Awards and Activities Received First Prize for the project 'RFID-Based Access Control System' at the 11th Student Projects Conference (2018) Member of the Secretariat for the IEEESTEC Student Project Conference Current involvement: 1 national research project Labs/Teams His affiliation with the Department of Microelectronics positions him within a research group focused on advanced semiconductor technologies and renewable energy systems. Collaborations include work with colleagues on device modeling and educational technology development.

• Microelectronics
• Semiconductor Devices
• Power Electronics
• +3 more