Небојша Пјевалица is a Regular Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He holds a BSc in Electrical Engineering (Electronics and Telecommunications) from the same faculty (1995) and an MSc in Digital Signal Processing (2000). Since 1997, he has been employed at the Faculty, starting as an assistant and advancing to his current position. His research focuses on FPGA design, embedded systems, and automotive technologies. Notable projects include work on ADC converters with phase-locked loops, arithmetic processors for Sigma-Delta modulators, and automotive communication systems. Education: BSc (1995), MSc (2000) Research interests include digital signal processing, FPGA-based embedded solutions, and advanced communication protocols. He collaborated with NASA on engineering education projects and RT-RK Institute on FPGA design. His industry projects span automotive electronics, sensor systems, and motor control applications. Grants/Projects: Multiple national science ministry projects and industry collaborations in automotive and communication sectors. Labs/Teams: Active contributor to the RT-RK Research Institute’s FPGA design initiatives.
Немања Лукић is an Associate Professor at the Department of Computer Science and Automation, Faculty of Technical Sciences, University of Novi Sad. He holds a Master's degree (2007) and a PhD (2014) in Computer Science from the same institution. His research focuses on embedded systems design, real-time digital video signal processing, and integration of digital TV services into virtual machine-based platforms. Education: Master's in Computer Science (2007) with GPA 9.68 PhD in Computer Science (2014), Thesis: 'Proposal for Extending Android OS with Digital TV Services' Research Interests: Highly integrated embedded systems in consumer electronics Real-time digital video signal processing Virtual machine-based platform development for digital TV services Professional Experience: Teaching courses like 'Real-Time Programming Support (PNRС2)' Research collaboration at Ghent University (Belgium, 2009) under Erasmus Mundus Awards: Best Master's Thesis in the Department (2007) Multiple academic excellence awards during studies Contributions: Author/co-author of 10 technical solutions (products, technologies, prototypes) Over 30 peer-reviewed publications in international journals and conferences
Владимир Д. Бугарски is an Associate Professor at the Department of Computer Science and Automation, Faculty of Technical Sciences, University of Novi Sad. He completed his integrated bachelor's and master's degrees in Computer Science and Automation in 2007 and earned his PhD in 2015 with a thesis titled 'Expert System for Ship Steering Based on Artificial Intelligence'. His research focuses on automation, expert systems, and AI applications in marine engineering. Education: Bachelor's/Master's: Computer Science and Automation, Faculty of Technical Sciences (2001–2007) PhD: Expert System for Ship Steering (2015) Key Roles: Teaching Assistant: 2007–2011 Assistant Professor: 2011–present Associate Professor: Current position His research interests emphasize the integration of artificial intelligence with automation technologies, particularly in maritime systems. He has contributed to the development of expert systems for ship navigation and control mechanisms leveraging computational intelligence. Labs/Teams: No specific labs mentioned, but his work aligns with the Department's Automation and Control Systems research groups.
Professor Vesna Radojević serves as a Full Professor in the Department of Construction and Special Materials at the Faculty of Technology and Metallurgy, University of Belgrade. She was elected to her current position on September 22, 2015, and maintains an active research program in materials engineering with a particular focus on composite materials. Her office is located in the TMF large building, office 104, and she can be reached at vesnar@tmf.bg.ac.rs or by phone at 011/3303618. Professor Radojević's research primarily centers on composite materials, with special emphasis on polymer matrix composites, functional composite materials, and materials for electronics. Her work spans both theoretical and applied aspects of materials science, with particular attention to physical and mechanical properties testing, processing techniques, and applications in various industries including dentistry, optics, and electronics. She has developed expertise in characterizing the structure-property relationships of composite materials, with numerous publications addressing mechanical, thermal, and optical properties of advanced composite systems. Her publication record shows a consistent focus on polymer-based composites, particularly examining EVA/PMMA blends for optical fiber applications, electrospun nanofibers, and various composite systems incorporating nanoparticles and other functional additives. The research trends indicate a progression from fundamental material characterization toward more specialized applications in electronics, dentistry, and optical technologies. Professor Radojević has mentored an extensive number of graduate students, supervising over 40 doctoral, master's, and undergraduate theses. Her students have explored diverse topics within composite materials, including dental composites, optical properties of polymer composites, mechanical behavior of reinforced polymers, and specialized applications in automotive, aerospace, and medical fields. Her supervision portfolio demonstrates both breadth across composite material types and depth in specialized applications. She teaches numerous courses related to composite materials, including 'Composite Materials,' 'Processing of Polymer Matrix Composite Materials,' 'Physical and Mechanical Testing of Materials,' and 'Functional Composite Materials.' Her teaching portfolio aligns closely with her research interests, creating a synergistic relationship between her educational and research activities.
Natalija D. Polović serves as Full Professor in the Department of Biochemistry at the University of Belgrade's Faculty of Chemistry, where she has progressed through academic ranks since 2006. Her leadership extends to roles including President of the Faculty Council and membership in multiple university commissions for self-assessment and ethics. Educational background includes: BSc in Chemical Sciences (University of Belgrade, 2002) MSc in Chemical Sciences (University of Belgrade, 2005) PhD in Chemical Sciences (University of Belgrade, 2008) Postdoctoral Studies in Medical Sciences (Karolinska Institutet, 2008-2009) Her research centers on protein biophysics with emphasis on conformational dynamics, where she investigates amyloid formation pathways, protein-RNA folding mechanisms, and ligand-binding thermodynamics. Current work leverages advanced spectroscopic techniques to characterize denaturation processes in enzymes like ficin and papain, with applications spanning biotechnology and clinical diagnostics. Her group actively explores functional amyloids for industrial use and develops novel allergy therapeutics through molecular engineering. Publication trends reveal consistent focus on protein stability mechanisms (60% of recent work), enzyme characterization (25%), and diagnostic/therapeutic applications (15%), predominantly utilizing biophysical methods like FTIR and quartz crystal microbalance. This output supports her leadership in bilateral projects with Slovenia and CEEPUS networks. Scientific recognition includes: 10+ international awards (2003-2010), notably 5 EAACI poster prizes IUPAC Award at Serbian Chemical Society Conference (2008) Đarmanović Fund Scholarship at Royal Swedish Academy (2008) Research funding spans 8 major projects including EU COST Actions on cystic fibrosis therapeutics (2010-2014), ICGEB antimicrobial studies (2016-2018), and current bilateral work on functional amyloids (2021-2022). She mentors through CEEPUS mobility programs and teaches core courses including Protein Conformational Transitions and Biochemistry of Macromolecules.
Dr. Dragan Rodić is an Associate Professor at the Faculty of Technical Sciences , University of Novi Sad, affiliated with the Department of Production Engineering and the Chair of Machining . His career spans roles from Research Associate to Assistant Professor, culminating in his current position since 2025. He serves as Secretary of the Chair since 2020. Dr. Rodić’s research focuses on advanced machining processes , particularly electrical discharge machining (EDM) of nonconductive materials. He employs fuzzy logic and ANFIS systems for modeling tool wear, cutting forces, and thermal behavior. His work addresses energy efficiency in machining, sustainable production, and optimization of abrasive water jet cutting. His publications (2013–2022) reveal a consistent emphasis on thermal analysis , surface roughness prediction , and intelligent optimization in manufacturing. Key subfields include EDM of ceramics, jet-assisted turning, and inverse heat transfer modeling. Dr. Rodić contributes to international journals like Neural Computing and Applications and Journal of Cleaner Production , with collaborations across departments. His work bridges theoretical models and practical industrial applications in manufacturing engineering.
Prof. Dr. Alenka Milovanović is a Full Professor of Theoretical and General Electrical Engineering at the Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. She leads research and teaching in automatic control, electromagnetics, and electrical measurements. Education & Academic Standing: Full Professor, Department of General Electrical Engineering and Electronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. Research Interests: Her work spans a broad spectrum of electrical engineering, with particular emphasis on: Theoretical and General Electrical Engineering – advancing foundational concepts. Automatic Control Systems – modelling, analysis, and optimisation of control loops, including PID control. Electromagnetics – analytical and numerical computation of electric and magnetic fields, particularly for transmission lines and electrodes. Electrical Measurements & Instrumentation – development of virtual instrumentation, calibration methods, and uncertainty evaluation. Publication Trends (last 15 articles): Recent outputs reveal a strong focus on control engineering (PID and Dahlin algorithms for tank-level systems), metrology (measurement uncertainty in energy meters and motor efficiency), and electromagnetic modelling (hysteresis losses, coaxial lines, current transformers). An emerging strand explores engineering education , leveraging remote laboratories, Arduino and LabVIEW platforms, and Moodle to enhance practical learning. Scientific Awards: Multiple awarded conference papers at domestic (ETRAN) and international events. Advising & Grants: While specific grant numbers are not disclosed, her prolific publication record and leadership of laboratory exercises indicate sustained research funding. She mentors graduate students through master’s and doctoral projects, actively integrating them into funded research. Laboratories & Teams: She coordinates activities in the Laboratory for Electrical Machines, Electromotor Drives and Automation and utilises the Computer Science Laboratory for virtual-instrumentation-based experiments, fostering interdisciplinary collaboration across electrical engineering and computer science.
Prof. Dr. Danijela Milošević is a Full Professor at the Department of Information Technologies, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With a career spanning over two decades, she specializes in ontologies, intelligent educational systems, and e-learning. PhD in Intelligent Tutoring Systems (2007, Faculty of Organizational Sciences, Belgrade) Master's in Knowledge-Based Systems (1996, School of Electrical Engineering, Belgrade) Academician at the Military Technical Faculty in Zagreb (1991) Her research focuses on ontological engineering , adaptive learning environments , and AI-driven educational systems . She has led international projects like DL@WEB (2010-2013) and OP4L (2010-2012), and contributed to key publications including her monograph Ontološko inženjerstvo u inteligentnim tutorskim sistemima (2008). Notable contributions include: Developing LeMONT ontology-based learner modeling system Advancing e-learning standards for adaptive content delivery Pioneering cognitive approaches to web-based education She has collaborated with institutions in Greece, England, Romania, and Austria, and published over 70 scientific papers.
Aleksandra Kalezić-Glišović is a Professor in the Department of Physics and Materials at the Faculty of Technical Sciences, University of Kragujevac. Born on December 24, 1971, in Čačak, Serbia, she graduated from the Faculty of Physics in Belgrade in 1996 with an average grade of 9.62 and completed her doctoral studies in Condensed Matter Physics, defending her dissertation titled 'Influence of structural relaxation on functional properties of amorphous iron-based alloys' on November 9, 2012. She was elected as an Associate Professor in Physics on June 12, 2013, and promoted to Professor in Applied Physics on February 19, 2025. Her research focuses on condensed matter physics, particularly amorphous and nanocrystalline materials, magnetic properties, and functional materials. She has been involved in multiple research projects including 'Forecasting material properties from the perspective of the triad synthesis-structure-properties,' 'Synthesis of functional materials according to the tetrad synthesis-structure-properties-application,' and 'Directed synthesis, structure and properties of multifunctional materials.' She is a member of the United Laboratory for Modern Materials of the Faculty of Technical Sciences in Čačak and the Serbian Academy of Sciences and Arts (Section for Amorphous Systems). Analysis of her most recent publications reveals a consistent focus on multiferroic materials, particularly Fe/BaTiO 3 systems, and the effects of mechanochemical activation and thermal treatment on material properties. Her work spans from fundamental condensed matter physics to applied materials engineering, with particular emphasis on magnetic, dielectric, and structural properties of functional materials. She has published numerous papers, including 16 in SCI-indexed journals, demonstrating her significant contributions to the field of materials science. Dr. Kalezić-Glišović has served on committees for the defense of master's theses and doctoral dissertations, contributing to academic mentorship and evaluation. Her teaching responsibilities include Physics 1, Physics 2, and Physical Fundamentals of Electrical Engineering. She is also the author of a laboratory practice manual for Physics 2 published in 2024.
Milentije Luković is an Associate Professor in the Department of Physics and Materials at the Faculty of Technical Sciences, University of Kragujevac. With a PhD in Physical Sciences from the University of Belgrade, his academic career spans from elementary school teaching to his current university position. His professional journey includes teaching physics at various educational levels before joining the Faculty of Technical Sciences in Čačak in 2014, where he progressed from Assistant to Associate Professor by 2025. Dr. Luković's research primarily focuses on applied physics, particularly in materials science with emphasis on magnetic materials, composite structures, and electrochemical systems. His work spans theoretical modeling, experimental physics, and physics education. He has made significant contributions to understanding magnetic properties of ferrite-titanate composites, electrocatalysis for fuel cells, and hydrogen adsorption in nuclear materials. His expertise extends to developing measurement techniques and educational tools for physics instruction. Luković's publication record shows a consistent output in high-impact journals across physics, materials science, and engineering disciplines. His research demonstrates a progression from fundamental physics education tools toward more complex materials characterization and modeling. The predominant themes in his work include magnetic materials characterization, experimental physics education tools, and computational approaches to materials science problems. His recent publications (2023-2025) show increasing focus on mathematical modeling of material properties and advanced characterization techniques. Reviewer for the scientific journal "The Physics Teacher" Author of the book "Collection of solved problems in physics using applications in the Mathematica software package" (2023) Holds a patent for a "Random number generator based on the use a Geiger-Muller counter with a transparent glass tube and a semiconductor laser diode" (2022) Dr. Luković maintains active research collaborations within Serbia and internationally, as evidenced by his conference presentations and co-authored publications. His work bridges theoretical physics, experimental materials science, and practical educational applications, demonstrating versatility across academic domains. His educational efforts include developing didactic laboratory equipment and computational approaches to physics education using Mathematica software.
Dr. Uroš Pešović serves as an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic service, he has progressed from teaching associate (2007-2018) to assistant professor (2018-2023) and currently holds the position of associate professor for Computer Engineering (2023-2028). Elementary school "Milica Pavlović" Čačak (1989-1997), average grade 5.00 - holder of Vuk's diploma Secondary Technical School Čačak (1997-2001), automation electrical technician, average grade 5.00 - holder of Vuk's diploma Technical Faculty, Čačak, University of Kragujevac (2001-2006), B.Sc. electrical engineer for computer technology, average grade 9.03 Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor, Slovenia (2007-2010), Master of Electrical Engineering, Major in Telecommunications, average grade 9.75 Faculty of Electrical Engineering, Computing and Informatics, University of Maribor, Slovenia (2010-2016), doctor of technical sciences, doctoral dissertation "Error probability model for IEEE 802.15.4 wireless transmission with co-channel interference and background noise" Dr. Pešović's research spans wireless sensor networks, IoT applications, computer architecture, and reliability engineering. His work demonstrates a strong focus on practical implementations of theoretical models, particularly in IEEE 802.15.4 wireless communication protocols and their applications in precision agriculture, industrial monitoring, and network communication systems. His expertise bridges hardware and software design, with recent work emphasizing machine learning applications for predictive maintenance and anomaly detection in storage systems. Analysis of his recent publications reveals a clear evolution from foundational wireless communication research toward more applied work in precision agriculture, industrial IoT, and educational technology. His current research emphasizes practical problem-solving in agricultural technology using LoRa and other wireless technologies, predictive maintenance of storage systems using machine learning, and innovative approaches to computer engineering education. Dr. Pešović teaches across all academic levels, including undergraduate courses in Computer Architecture, Organization of Computer Systems, Microcontroller Systems, and Computer Networks, as well as graduate courses in Hardware-Software Design, Intelligent Sensors, and Industrial Communication Networks. At the doctoral level, he teaches courses on integrated hardware-software design, disk performance, and telecommunication systems modeling.
Vesna Veličković serves as an Assistant Professor in the Department of Physics and Materials at the Faculty of Technical Sciences in Čačak, University of Kragujevac. Her academic career spans both research and teaching roles within Serbian educational institutions, with current responsibilities focused on chemistry education and environmental research. Her educational background includes: BSc in Chemistry (Research and Development specialization) from Faculty of Science and Mathematics, University of Kragujevac (2001) Specialist in Chemical Sciences from same institution (2011) PhD in Chemistry (Dissertation: "Polifenolni profil i biohemijska aktivnost ekstrakata odabranih biljaka kao izvora prirodnih nutraceutika") (2021) Veličković's research focuses on applied chemistry with emphasis on natural product extraction, bioactive compounds, and environmental protection. Her work bridges phytochemistry and practical applications, particularly in antioxidant research, medicinal plant analysis, and environmental contamination studies. She employs advanced extraction methodologies including supercritical fluid extraction and response surface optimization to enhance bioactive compound yields. Analysis of her publication record reveals consistent focus on plant-based bioactive compounds, particularly studying phenolic profiles, antioxidant capacities, and chemical characterization of medicinal plants like Erica carnea, Satureja hortensis, and Lavatera thuringiaca. Her recent work has expanded into environmental impact assessment, particularly regarding heavy metal contamination and renewable energy applications. Her professional trajectory shows progression from industry quality control roles to academic teaching and research, with significant contributions to establishing environmental protection curriculum within chemistry programs.
Dr. Đorđe Damnjanović is an Assistant Professor at the Department of Computer and Software Engineering within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . He specializes in digital signal processing, wavelet transform applications, and remote laboratory development for engineering education. Born: July 17, 1986, Belgrade Education: B.Sc. (2010), M.Sc. (2011), Ph.D. (2022) in Electrical and Computer Engineering His research focuses on audio signal analysis using wavelets, human-computer interaction , and remote experimentation systems. He has led projects like the NeReLa Tempus Network and contributed to blockchain consensus mechanisms . Publications span biomedical signal processing, noise reduction, and educational technology. Recent work includes 2025 studies on vehicle vibration analysis and 2024 papers on mobile earthquake detection. He teaches Signals and Systems , Digital Signal Processing , and Human-Computer Interaction at graduate and postgraduate levels.
Dr. Branko Marković serves as an Assistant Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. His academic career spans over two decades, transitioning from industry experience in telecommunications to dedicated academic work following the merger of the College of Technical Vocational Studies with the Faculty in 2020. Dr. Marković earned his Bachelor's degree from the Faculty of Electrical Engineering in Belgrade in 1992, followed by a Master's degree in 2004 and a Doctorate in 2018, all focusing on telecommunications and speech processing. His doctoral research centered on speech processing and recognition, establishing the foundation for his subsequent research trajectory. His primary research focuses on speech processing , with groundbreaking work in whispered speech recognition - a challenging domain due to reduced acoustic energy in whispered speech. His research explores sophisticated methodologies including data augmentation techniques, wavelet transformations, inverse filtering, and various feature extraction approaches. He has made significant contributions to Serbian speech database development, notably the "Phonemes_1.0" database. His work bridges theoretical research with practical applications in assistive technologies, security systems, and human-computer interaction, demonstrating consistent innovation through 2024 publications. Analysis of his publication trends reveals an evolution from fundamental techniques like Dynamic Time Warping (DTW) and Mel-Frequency Cepstral Coefficients (MFCC) toward more advanced approaches involving deep learning and multimodal systems. His recent work emphasizes data augmentation for model robustness and wavelet-based feature extraction, reflecting the field's progression toward more sophisticated machine learning methodologies while maintaining focus on the unique challenges of whispered speech. Dr. Marković teaches across multiple academic levels, covering essential computer engineering subjects including Computer Assembly and Service, Internet Technologies, Computer Networks, Distributed Software Systems, Web Programming, and Computer Systems Design. His educational contributions extend to several textbooks for vocational studies in computer engineering fields. His professional journey includes valuable industry experience at the Mihailo Pupin Institute in Belgrade and Canadian telecommunications companies Bell Sygma, Architel, and Nortel Networks, followed by founding his own company Big engineering before transitioning to academia. This industry-academia trajectory enriches his practical teaching approach and research relevance.
Milan Dobričić is a Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences Čačak (University of Kragujevac). He has dedicated his career to Electrical Power Engineering, with a focus on electromagnetic field analysis, conformal mapping, and power systems optimization. University of Kragujevac Faculty of Technical Sciences Čačak Department of Electrical Power Engineering His research explores electromagnetic field analysis using conformal mapping and numerical methods. Key areas include power systems , electrostatics , transformer design , and electrical machine optimization . Publications emphasize computational electromagnetics and engineering education. His recent work trends focus on two-wire transmission lines , grounding systems , and educational material development for professional studies. Notable contributions include textbooks on transformers and electrical machines. He has been actively involved in academic roles since 2008, serving as a Professor of Professional Studies. His career spans teaching, research, and curriculum development at Čačak-based institutions. Milan Dobričić contributes to the Laboratory for Electrical Machines, Electromotor Drives and Automation , advancing applied research and technical education at the Faculty of Technical Sciences Čačak.
