جست‌وجوی استاد و پژوهشگر

• Electromagnetic Compatibility (EMC)
• Lightning Electromagnetic Fields
• Lightning Current Modeling
• +۷ مورد دیگر

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.

• E-Learning Systems
• Digital Archiving
• Computer Science
• +۳ مورد دیگر

Dragan Ivanović is a Regular Professor at the University of Novi Sad's Faculty of Technical Sciences, Department of Informatics. He completed his BSc in 2006 with a thesis titled 'E-Learning System Based on IEEE LOM Standard,' earning the Milena Maric-Ainstein Award. He earned his PhD in 2010 with a thesis on scientific content storage systems, later published as a monograph. His academic journey includes scholarships from Serbian governmental and educational bodies. Bachelor's in Computer Science and Informatics (2006) Master's in Computer Science and Informatics (2006) PhD in Informatics (2010) His research focuses on digital archives, e-learning systems, and multimedia technologies. He has published 25 scientific papers, including 8 in SCI-indexed journals. He teaches courses such as Computer Basics, Multimedia, and Digital Archives, and conducts exercises in programming and web development. Awards include the 2011 Serbian Informatics Society Award for Best Scientific Work. He has collaborated with industry, including Levi9 Global Sourcing (2005), and has held academic roles since 2007.

• Production Technologies
• Mechanical Engineering
• Computer-Aided Design (CAD)
• +۳ مورد دیگر

Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.

Milan Marjanovićمشاهده پروفایل

استادیار

• Thermal Engineering
• Thermoenergetics
• Renewable Energy
• +۷ مورد دیگر

Milan Marjanović is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. Holding an M.Sc. in Mechanical Engineering, he teaches Thermodynamics, Applied Thermodynamics, Renewable Energy Sources, and Machine Elements. His research focuses on Thermal Engineering, Thermoenergetics, and Renewable Energy systems. Born 1990 in Užice Completed primary/secondary education in Požega Faculty of Mechanical Engineering and Civil Engineering, Kraljevo (2012) Master's in Energy Engineering (2014) Research spans biomass combustion optimization, solar energy systems, and hydraulic simulation tools. Active in academic projects like the national PRIZMA 2023 initiative for Active Condensation Hybrid Systems. Key publications include work on: Biomass-fired district heating efficiency AI-driven solar energy prediction models Hybrid photovoltaic-thermal collector testing Industry 4.0 curriculum development for Mechatronics Scientific contributions appear in journals like Case Studies in Thermal Engineering and conferences including COAST 2024. Awards include Ministry scholarships and 'Mašinijada' competition victories. Collaborates with industry partners on mechanical testing equipment development.

• Mechanical Engineering
• Machine Structures
• Mechanization
• +۵ مورد دیگر

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.

• Production Engineering
• Industrial Engineering
• Materials Science
• +۵ مورد دیگر

Dragan Adamović is a Professor at the Department of Production Engineering, Faculty of Engineering, University of Kragujevac. His work focuses on manufacturing processes, materials science, tribology, and biomaterials. He has extensive experience in numerical modeling of metal forming processes like ironing and deep drawing, with a strong emphasis on optimizing mechanical properties through thermal treatments and surface treatments such as shot peening. His research integrates computational methods (e.g., FEA) with experimental validation, addressing challenges in automotive engineering, biomedical applications, and industrial safety. Notable contributions include studies on friction coefficient determination in forming processes, wear behavior of alloyed steels, and the development of biodegradable metallic implants. He also investigates occupational safety in industries like concrete production and bakery environments. Adamović has authored over 50 peer-reviewed articles since 2003, covering topics from welding technologies to additive manufacturing applications. His work bridges theoretical material science with practical industrial solutions, emphasizing sustainability and process efficiency in modern production systems.

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +۴ مورد دیگر

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.

Nada Damljanovićمشاهده پروفایل

استاد

• Mathematics
• Automata Theory
• Fuzzy Systems
• +۴ مورد دیگر

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.

• Control Systems
• Machine Learning
• Electrical Engineering
• +۴ مورد دیگر

Marko Tanasković (born December 6, 1986) is a researcher at Singidunum University with a PhD in Information Technology and Electrical Engineering from ETH Zurich (2015). His academic background includes master's (ETH Zurich, 2011) and bachelor's (University of Belgrade, 2009) studies in Electrical Engineering. Doctoral studies: Information Technology and Electrical Engineering, ETH Zurich (2011-2015) Master studies: Information Technology and Electrical Engineering, ETH Zurich (2009-2011) Basic studies: Electrical Engineering, University of Belgrade (2005-2009) Tanasković's research focuses on control systems , predictive modeling , and optimization algorithms for mechanical and electrical systems. His work addresses adaptive model predictive control (MPC), sensorless motor positioning, and data-driven approaches for nonlinear systems. Recent publications (2018-2024) demonstrate expertise in: Embedded control systems (rotor polarity detection) Drone forensics and autonomous navigation Industrial automation (LabVIEW applications) Biomedical sensor development ('Smart Anklet') Machine learning optimization (firefly algorithm)

Nebojsa Stankovicمشاهده پروفایل

استادیار

• Artificial Intelligence in Education
• Machine Learning Applications
• Programming Education
• +۳ مورد دیگر

Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.

Sanja Aleksicمشاهده پروفایل

دانشیار

• Microelectronics
• Semiconductor Physics
• Applied Physics
• +۳ مورد دیگر

Sanja Aleksic is an Associate Professor at the Faculty of Electronic Engineering, University of Nis, specializing in Microelectronics and Microsystems. Her academic career began with a Physics degree from the Faculty of Philosophy in Nis (1995), followed by a Master's (2009) and PhD (2015) in Applied Physics from her current faculty. Her research focuses on semiconductor materials, photoacoustic spectroscopy, and electronic device modeling. She has published extensively in peer-reviewed journals, with 9 papers indexed with impact factors. Her work bridges applied physics and engineering, particularly in analyzing thermal and elastic properties of materials using advanced techniques like photoacoustic analysis and neural network modeling. Education: Bachelor's in Physics, Faculty of Philosophy, University of Nis (1995) Master's in Applied Physics, Faculty of Electronic Engineering, University of Nis (2009) PhD in Applied Physics, Faculty of Electronic Engineering, University of Nis (2015) Research Interests: Microelectronics, semiconductor characterization, thermoelastic effects, photoacoustic signal analysis, and material property modeling. Notably, her work employs electro-acoustic analogies to study silicon and TiO₂-coated materials, as well as neural network approaches for high electric field stress modeling in VDMOSFETs. Her recent studies (2020–2025) emphasize cutting-edge topics like solar parking canopy optimization and biomarker-based clinical outcomes in pandemic scenarios. Publications: Over 30 peer-reviewed articles, with a focus on photoacoustic techniques, semiconductor device simulation, and energy systems. Her work spans journals like Journal of Applied Physics , International Journal of Thermophysics , and Journal of Computational Electronics . Key themes include material property extraction, thermal-mechanical coupling, and sustainable energy solutions. Awards: None explicitly listed in provided texts. Labs/Teams: Engaged in interdisciplinary research at the Faculty of Electronic Engineering, collaborating on projects involving material characterization, renewable energy systems, and bio-medical applications. Active in both national and international research networks, though specific lab affiliations are not detailed here.

Miljana L. Milićمشاهده پروفایل

استاد

• Electronics
• VLSI Design
• Analog and Digital Circuit Diagnosis
• +۷ مورد دیگر

Miljana L. Milić is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, Department of Electronics. She has been an integral part of this institution since earning her degrees and advancing through academic ranks, culminating in her appointment as full professor in 2024. Education: PhD in Electronics, Faculty of Electronics, University of Niš (2009) Master’s in Electronics, Faculty of Electronics, University of Niš (2005) Bachelor’s in Electronics, Faculty of Electronics, University of Niš (2001) Her research interests span a broad spectrum of electronics engineering, with emphasis on VLSI design, analog and digital circuit diagnosis, cryptographic hardware security, timing analysis under aging, and performance optimization in neural prediction systems. She applies simulation, statistical methods, and AI techniques to solve complex problems in electronic systems design and reliability. The analysis of her recent publications reveals a strong focus on hardware-level innovation, including secure cryptographic cells, fault diagnosis in analog circuits, performance modeling under fading and shadowing, and timing degradation in VLSI systems. Her work bridges theoretical analysis with practical implementation in electronic design and communication systems. She leads the Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems, and is currently involved in one national research project. Her contributions include over 10 journal publications in high-impact venues. Scientific Contributions: Head of Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems Active participant in national research projects Author/co-author of 10+ journal papers with impact factor She mentors students through research supervision and contributes to academic leadership within her department. Her work continues to influence both academic research and practical applications in electronic systems engineering.

• Microelectronics
• Nanotechnology
• Semiconductor Device Reliability
• +۷ مورد دیگر

Daniel M. Dankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where he also obtained his B.Sc., M.Sc., and Ph.D. degrees. He is affiliated with the Department of Microelectronics and heads both the department and the Laboratory for Practical Teaching in Electronic Components and Microsystems. He is actively involved in national and international research projects and contributes to academic publishing as an assistant editor of Microelectronics Reliability and editor of Facta Universitatis, Series: Electronics and Energetics . Ph.D. in Nanotechnology and Microsystems, Faculty of Electronics, University of Niš (2009) M.Sc. in Microelectronics, Faculty of Electronics, University of Niš (2006) B.Sc. in Electronics and Telecommunications, Faculty of Electronics, University of Niš (2001) His research focuses on the reliability of semiconductor devices, particularly Negative Bias Temperature Instability (NBTI) in p-channel power VDMOSFETs, radiation effects, degradation mechanisms, and microsystem design. He also contributes to engineering education, especially in PCB design and hands-on training. His work bridges theoretical modeling, experimental validation, and practical teaching methodologies. The recent publications (2012–2020) reflect a strong thematic consistency in semiconductor device reliability, with emphasis on NBTI, radiation interactions, and measurement techniques. Additionally, he explores IoT-based smart monitoring systems and innovative approaches in engineering education, demonstrating interdisciplinary engagement across microelectronics, applied physics, and pedagogy. Daniel M. Dankovic holds no explicitly listed scientific awards in the provided text. He advises students through research collaboration, particularly evident in co-authored publications with junior researchers, though no formal list of advisees is provided. He is currently involved in 4 national and 1 international research project, indicating active grant funding and collaborative research. His leadership roles include heading key academic units and organizing major IEEE conferences in the region. He leads the Laboratory for the implementation of practical teaching in the module Electronic Components and Microsystems and the Master's program in Electronics and Microsystems, ensuring integration of research and education in advanced electronics.

• Quality Control
• Analytical Chemistry
• Pharmaceutical Industry
• +۴ مورد دیگر

Александра Перић-Грујић is a Regular Professor at the Department of Analytical Chemistry and Quality Control, Technical Faculty of the University of Belgrade. She specializes in quality control, analytical chemistry, and environmental monitoring, with a focus on trace analysis of pollutants and chemometric methodologies. Her teaching includes courses on pharmaceutical quality control, instrumental methods, and laboratory accreditation. Affiliations: University of Belgrade, Technical Faculty Departments: Analytical Chemistry and Quality Control Her research interests span environmental engineering, material science, and pharmaceutical industry standards. She has advised over 100 PhD and Master's students since 2010, focusing on topics like heavy metal removal from water, quality management systems, and sustainable materials. Publications highlight advancements in hydrogel-based adsorption technologies and alloy analysis. She contributes to interdisciplinary projects addressing environmental remediation and industrial quality assurance.

• Metrology
• Quality Management
• Precision Engineering
• +۷ مورد دیگر

Miodrag Hadžistević is a Full Professor at the Department of Production Engineering within the Faculty of Technical Sciences at the University of Novi Sad. His career spans over two decades, including roles as Assistant Professor (2005-2010) and Associate Professor (2010-2015) in the same department. Academic Timeline Full Professor (2015-present) Associate Professor (2010-2015) Assistant Professor (2005-2010) Administrative Roles Head of Department of Production Engineering (2012-2018) Head of Chair of Metrology, Quality, Equipment, Tools, and Ecological-Engineering Aspects (2018-2024) His research focuses on precision engineering, quality management, and manufacturing technologies. Key contributions include innovations in coordinate measuring machine accuracy, flatness error evaluation, and dental engineering applications. Publications span journals like Precision Engineering , Metalurgija , and Journal of Craniofacial Surgery . While no explicit awards are mentioned, his work demonstrates expertise in metrology, tool design, and ecological-engineering aspects. Recent articles reveal a strong emphasis on dimensional accuracy analysis, dental prosthetics fabrication, and advanced manufacturing methods. His work integrates CAD/CAE systems, Monte Carlo simulations for uncertainty evaluation, and rapid prototyping technologies. The research also explores material behavior in machining processes and corrosion protection techniques.