جستجوی استاد راهنمای دانشگاهی

Vladimir Dimitrijević is a Full Professor in the Department of Animal Husbandry at the Faculty of Veterinary Medicine, University of Belgrade. He teaches courses including Molecular Markers in Breed Analysis, Animal Behavior and Molecular Ecology, Kinology and Felinology, Sports Medicine for Horses, and Veterinary Genetics, reflecting his expertise in animal genetics and husbandry. His research centers on conservation genetics of Balkan endemic species, utilizing microsatellite markers for genetic diversity assessment, parentage verification, and individual identification in endangered breeds like the Banat donkey, Balkan donkey, Busha cattle, and Yugoslav Shepherd dog. His work bridges molecular biology with practical veterinary applications in livestock management and breed preservation. Analysis of his recent publications reveals consistent focus on Balkan genetic resources, with collaborative studies addressing conservation challenges through molecular techniques. Key themes include microsatellite validation for pedigree verification, physiological characterization of endangered breeds, and comparative analyses of traditional versus commercial animal production systems.

• Animal Genetics
• Veterinary Science
• Conservation of Endangered Breeds
• +۳ مورد دیگر

Dr. Vladimir Milovanović is an Associate Professor at the Faculty of Engineering, University of Kragujevac, Serbia, holding a position as Chair of the Department of Electrical Engineering and Computer Sciences. His academic career is anchored in interdisciplinary research at the intersection of electrical engineering, computer science, and biomedical applications. His research focuses on hardware design, radar sensor systems, biomedical signal processing, and machine learning applications. Notable areas include CMOS circuit design, FPGA-based implementations, and parameterizable hardware generators for signal processing tasks. He also explores medical imaging analysis using deep learning techniques for conditions like disc hernia diagnosis. Recent work emphasizes radar technology (FMCW transceivers, signal processing architectures), embedded systems (FPGA development, IP core utilization), and high-performance streaming data algorithms. His publications span over two decades, demonstrating expertise in analog/digital circuit design, comparative classifier analysis in biomedical contexts, and hardware-software co-design methodologies. Dr. Milovanović collaborates with industry on energy-efficient MIMO arrays and semiconductor gas sensors. His contributions include open-source HDL models for digital signal processors and comparator circuits optimized for low-power and high-speed applications.

• Electrical Engineering
• Computer Science
• Signal Processing
• +۷ مورد دیگر

Professor Ivan Mačužić is a faculty member at the University of Kragujevac's Faculty of Engineering, specifically within the Department for Production Engineering. His expertise centers on Industrial Engineering, with a focus on Industry 4.0 integration, occupational safety, and human-robot collaboration. He leads research initiatives in manufacturing automation, neuroergonomics, and smart technologies for workplace safety. His research interests include advancing Industry 4.0 applications, optimizing production systems, and leveraging IoT and AI for safety improvements. Notable projects involve robotic stations for food processing, modular lab setups for neuroergonomics experiments, and exoskeletons for manual labor safety. Professor Mačužić emphasizes practical solutions for SMEs, such as IoT-based warehouse management systems and risk assessment tools. His work bridges theoretical frameworks with real-world implementation, addressing challenges in safety culture, process optimization, and human factors in industrial environments. Publications highlight trends in Industry 4.0 safety frameworks (Safety 4.0), cognitive load analysis in collaborative robotics, and deep learning applications for workplace hazard detection. He actively contributes to improving occupational health through innovative technologies and adaptive systems.

• Industrial Engineering
• Manufacturing Systems
• Occupational Safety and Health
• +۵ مورد دیگر

Nikola Savanović is a researcher and academic at Singidunum University, specializing in cybersecurity, machine learning, and web technologies. He holds a PhD in Advanced Security Systems (2024) from Singidunum University, following a Master's in Contemporary Information Technologies (2016) and a Bachelor's in Informatics and Computing (2013), both from the same institution. He also completed high school in Computer-Aided Design at Politehnika School for New Technologies (2003-2007). His research focuses on intrusion detection systems, machine learning optimization for cybersecurity applications, and adaptive web technologies. He has contributed to educational technology through virtual learning environments and game-based learning. His mathematical work includes fixed point theory in b-metric spaces. He has authored/co-authored multiple books on web design, multimedia systems, and digital marketing. Publications highlight interdisciplinary work: hybrid CNN-XGBoost models for medical diagnostics, metaheuristic algorithms for software defect detection, and cybersecurity innovations in healthcare IoT systems. His articles span computer science, mathematics, and data science, emphasizing practical applications in education and healthcare. Despite no listed awards, his extensive publication record and teaching roles reflect significant academic contributions. He actively collaborates on university projects and advises students in informatics and computing disciplines, though no formal student list is provided.

• Cybersecurity
• Machine Learning
• Web Development
• +۳ مورد دیگر

Milan Tair is a researcher at the University of Singidunum, affiliated with the Faculty of Informatics and Computing and the Department of Postgraduate Studies . His academic work spans topics in computer science, web technologies, and optimization algorithms. Doctoral Studies : Electrical Engineering and Computing (2016–2022) Master's Studies : Contemporary Information Technologies (2012–2013) Undergraduate Studies : Programming and Design (2008–2012) His research interests focus on artificial intelligence , web development , cybersecurity , and optimization algorithms , as evidenced by his publications in journals and conference proceedings. Recent publications highlight his work on hybrid metaheuristic algorithms applied to intrusion detection, medical diagnostics, and web quality evaluation. His studies also explore adaptive web technologies, database systems, and mobile computing solutions. Milan has authored or co-authored works on topics including: Optimization of machine learning models (XGBoost tuning, swarm intelligence) Web performance and security (AES encryption, HTTP header licensing) Adaptive web formats (multi-layered image compression) Usability in multilingual web design

• Computer Science
• Artificial Intelligence
• Web Development
• +۳ مورد دیگر

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.

• Electrical Drives
• Induction Motors
• Torque Ripple Reduction
• +۵ مورد دیگر

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.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +۳ مورد دیگر