جستجوی استاد راهنمای دانشگاهی

• Wireless Communications
• Signal Processing
• Neural Networks
• +۳ مورد دیگر

Ivan Milovanović is a faculty member at Singidunum University, affiliated with the Faculty of Technical Sciences under the Department of Informatics and Computing. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2009-2015), following a master's in Contemporary Information Technologies (2008-2009) and a bachelor's in Graphic Design (2004-2008). His research focuses on wireless communications, signal processing, neural networks, and telecommunications, with an emphasis on applications such as direction-of-arrival estimation, stochastic source localization, and channel modeling. He has published extensively in journals like the International Journal of RF and Microwave Computer-Aided Engineering and presented at conferences including TELSIKS and ICEST. Education: PhD: Advanced Protection Systems, Singidunum University (2009–2015) Master's: Contemporary Information Technologies, Singidunum University (2008–2009) Bachelor's: Graphic Design, Singidunum University (2004–2008) High School: Stevan Sremac Gymnasium (2000–2004) Research Interests: His work integrates neural networks with electromagnetic systems to address challenges in wireless communications, including signal localization, noise analysis, and adaptive antenna systems. He explores hybrid models for indoor/outdoor path loss calculation and secure wireless sensor networks for critical infrastructure protection. Recent studies focus on stochastic processes in far-field environments and the design of efficient neural network architectures for real-time signal processing. Publications: Key contributions include papers on DoA estimation using hierarchical neural models, analysis of WSN-FSO systems, and performance benchmarks for DBMS engines. His research bridges theoretical advancements with practical applications in telecommunications and data systems. Labs/Teams: Active in Singidunum University's research groups focusing on telecommunications and neural network applications. Collaborates with institutions like the Faculty of Electronic Engineering in Niš and international partners such as TU Dresden and TU Ilmenau.

• Cybersecurity
• Machine Learning
• Web Development
• +۳ 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.

Marko Rosićمشاهده پروفایل

دانشیار

• Electrical Drives
• Induction Motors
• Torque Ripple Reduction
• +۵ 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.

• Geographic Information Systems
• 3D Visualization
• Terrain Rendering
• +۵ مورد دیگر

Дејан Д. Ранчић је редовни професор на Електронском факултету у Нишу (Универзитет у Нишу), где је изабран 2015. године након дугогодишњег рада као доцент од 2005. године. Дипломирао, магистрирао и докторирао је на истом факултету у области Електротехника и рачунарство. Његово образовање укључује: Дипломирани инжењер електротехнике и рачунарства (1993) Магистар електротехнике и рачунарства (1997) Доктор електротехнике и рачунарства (2004) Ранчићев истраживачки фокус је на ГИС технологијама , 3D визуелизацији терена и обраги радарских сигнала . Кључни доприноси укључују развој алгоритама за мобилне ГИС апликације, паралелно рендеровање великих терена и радарску обраду података за сузбијање града. Његов рад комбинује теоријску рачунарску геометрију са практичним инжењерским решењима. Анализа његових радова показује еволуцију од радарских система (1997-1999) ка иновативним ГИС решењима (2000-2006), са посебним нагласком на визуелизацију терена и мобилне платформе. Најзначајнији радови објављени су у часописима као што су Computer and Geosciences и WSEAS Transactions on Computers . Тренутно учествује у 3 национална и 1 интернационални истраживачки пројекат, а као рецензент ради за WSEAS серију часописа. Иако детаљи о менторству нису наведени, његова публикацијска активност и пројекти указују на значајну улогу у развоју геопросторних технологија у Србији.

• Theoretical Electrical Engineering
• Electromagnetic Field Computation
• High-Voltage Engineering
• +۷ مورد دیگر

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

• Telecommunications
• Wireless Communication
• Optical Communications
• +۸ مورد دیگر

Dejan N. Milic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where he is affiliated with the Department of Telecommunications. He is actively involved in teaching and research at undergraduate, master's, and doctoral levels. He leads the Telecommunications Systems (TSLAB) and Intelligent Communications (SmartCOMM) laboratories and holds leadership roles in IEEE and university governance. PhD in Telecommunications, Faculty of Electronics, University of Niš (2005) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) BSc in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1997) His research focuses on telecommunications , wireless and optical communication systems , 5G technologies , statistical channel modeling , and signal processing . He has contributed significantly to the understanding of fading channels, M2M communication, mm-Wave systems, and phase noise in digital communications. His work bridges theoretical modeling and practical implementation in modern communication networks. The recent publications reflect a strong trend in statistical analysis of wireless channels , performance modeling in 5G and M2M systems , and educational development in telecommunications . His work combines rigorous mathematical modeling with practical experimentation, particularly in κ–μ and TWDP fading environments, antenna selection, and truncation error estimation. He has also authored key textbooks that support engineering education in optical and mobile communications. Scientific and professional recognitions include: Member of IEEE (Institute of Electrical and Electronics Engineers) Vice President, IEEE Serbia and Montenegro Telecommunications Section (ComSoc) Member of IEEE ITSoc, SP, CAS, and Photonics Society President, Council of the Ethics Committee, University of Niš Two-time elected member of the Council of the Faculty of Electronics in Niš Dr. Milic has supervised numerous diploma, master's, and doctoral theses and has mentored young researchers. He has participated in 9 nationally funded scientific projects and 7 international projects (including EUROWEB+, GREENTECH, and ERASMUS+). He has completed teaching visits under the Erasmus+ program at institutions in Poland, Bulgaria, Malta, and Spain. His research has resulted in approximately 190 scientific papers, 2 international book chapters, 3 university textbooks, and 1 auxiliary textbook. He leads two active research laboratories: Telecommunications Systems Laboratory (TSLAB) Intelligent Communications Laboratory (SmartCOMM)

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +۳ 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.

• Cybersecurity
• Machine Learning
• Internet of Things (IoT)
• +۳ مورد دیگر

Nikola Savanovic serves as an Assistant Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic work centers on cybersecurity, machine learning, and IoT systems within the Department of Informatics and Computing. Research Focus: His primary fields include cybersecurity (particularly intrusion detection in healthcare IoT systems), metaheuristic optimization of machine learning models, web technologies, and healthcare informatics. His recent work demonstrates strong interdisciplinary connections between computer science, medical technology, and financial systems. Publication Trends: Analysis of his 15 most recent articles reveals a dominant focus on cybersecurity applications (40%), machine learning optimization (30%), and healthcare technology (20%), with growing emphasis on metaheuristic algorithms for solving complex security and diagnostic problems. His work frequently appears in high-impact journals like Mathematics and Sustainability . Academic Background: PhD in Advanced Protection Systems (2016-2024), University of Singidunum Master's in Contemporary Information Technologies (2013-2016), Singidunum University Bachelor's in Informatics and Computing (2007-2013), Singidunum University Mechanical Technician for Computer Engineering (2003-2007), Polytechnic High School - School for New Technologies Authorship: He has co-authored 5 academic books including Web Design and Multimedia Systems (2023) and Knowledge Discovery in the Cyberspace (2017), demonstrating expertise in both theoretical and applied computing fields. His collaborative research spans multiple international institutions with consistent publication output since 2013. Technical Leadership: His conference presentations reveal active involvement in Serbia's academic technology community through events like IcETRAN and SINTEZA conferences, focusing on practical implementations of cybersecurity frameworks and educational technology solutions.

• Automotive Engineering
• Vehicle Dynamics
• Brake Systems
• +۳ مورد دیگر

Jasna Glišović is a Full Professor at the Faculty of Engineering Sciences, University of Kragujevac, Serbia. Specializing in mechanical engineering with a focus on motor vehicles and engines, she has built a distinguished career in automotive research, particularly in brake systems, noise and vibration analysis, and wear particle emissions. Her work bridges theoretical and experimental approaches to solve practical engineering challenges in vehicle dynamics and environmental impact. Education: 1993: Diploma in Mechanical Engineering from Mechanical Faculty in Kragujevac with thesis on "Front Wheel Suspension of Passenger Vehicles - Transfer of Normal and Lateral Forces" 2001: Master's degree from Mechanical Faculty in Kragujevac with thesis on "Identification of Transfer Characteristics of Drum Brakes" 2012: PhD from Faculty of Engineering Sciences, University of Kragujevac with dissertation on "Theoretical and Experimental Research of High-Frequency Noise of Disc Brakes" Professor Glišović's research primarily focuses on automotive engineering, with particular emphasis on brake systems and their environmental impact. Her work spans theoretical modeling, experimental validation, and practical applications in vehicle dynamics. She has made significant contributions to understanding noise, vibration, and harshness (NVH) phenomena in brake systems, thermal analysis of braking processes, and the formation and measurement of wear particles from brake systems. Her research has important implications for vehicle safety, performance, and environmental sustainability, addressing critical issues related to non-exhaust emissions from road transportation. Analysis of Professor Glišović's recent publications reveals a strong trend toward environmental considerations in automotive engineering, particularly regarding particulate matter emissions from brake systems. Her work increasingly integrates advanced computational methods, including neural networks for emission prediction, while maintaining a strong experimental foundation. The research spans fundamental brake mechanics to applied solutions for reducing environmental impact, showing a clear evolution from component-level analysis to system-wide understanding of brake wear and its consequences. Throughout her career, Professor Glišović has participated in significant research projects including TEMPUS UM_JEP_17119-2002: "Education Network Based on Information Technology at the Faculty of Mechanical Engineering" and TEMPUS DIAUSS "Development And Improvement Of Automotive And Urban Engineering Studies In Serbia" (JP 516729-2011). She has collaborated extensively with researchers across Europe, including institutions in Greece, Lithuania, and Italy, demonstrating international recognition of her expertise in automotive engineering.

• Computer Communications
• Fluid Modeling
• Parallel Computing
• +۵ مورد دیگر

Miloš Ivanović serves as an Assistant Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computer science and computational mathematics, with research spanning multiple interdisciplinary domains that bridge theoretical computer science with practical applications in engineering, physics, and biology. Dr. Ivanović earned his Doctorate in Computer Science from the Faculty of Natural Sciences and Mathematics (PMF) at the University of Kragujevac, establishing a foundation for his subsequent research career focused on computational methods and high-performance computing. His research interests represent a sophisticated convergence of computational theory and practical applications. Ivanović specializes in advanced computing paradigms including grid computing, GPGPU computing, and cloud-based high-performance computing systems. His work in fluid modeling employs meshless methods and particle dynamics approaches, particularly SPH and DPD techniques applied to microfluidic systems. The breadth of his research extends from theoretical mathematics (graph theory and chemical indices) to practical applications in hydrology, biomedical engineering, and nuclear physics. His interdisciplinary approach enables innovative solutions across diverse scientific domains that require intensive computational resources. The collection of his publications reveals a consistent trajectory of research focused on computational methods with applications spanning multiple scientific disciplines. His work demonstrates strong expertise in parallel computing architectures and their application to complex scientific problems. The publications show a progression from fundamental computational mathematics toward increasingly complex multi-domain applications, particularly in biomedical and environmental systems. His research consistently addresses the challenge of implementing computationally intensive methods on distributed and parallel architectures to solve real-world scientific problems. Throughout his career, Ivanović has participated in numerous national and European research and infrastructure projects, including FP6, FP7, and Tempus initiatives. His collaborative approach is evident in the diverse range of co-authors spanning multiple institutions and disciplines, reflecting his ability to bridge computational science with domain-specific applications. Dr. Ivanović is affiliated with the Group for Mathematical Modeling and Computer Simulations, which develops computational solutions across various domains including fluid dynamics, biomedical applications, and environmental modeling. The group's work encompasses software development for simulation purposes, as evidenced by projects like the SPH07 software package and various specialized simulation tools for engineering and biomedical applications.