جست‌وجوی استاد و پژوهشگر

Daniela M. Milovićمشاهده پروفایل

استاد

• Telecommunications
• Wireless Communication Security
• Nonlinear Optics
• +۷ مورد دیگر

Daniela M. Milović is a Full Professor at the Department of Telecommunications, Faculty of Electronics, University of Niš, Serbia. She has spent her entire academic career at this institution, progressing from Assistant Professor (2004) to Full Professor (2014). Her work bridges telecommunications engineering and nonlinear physical systems, with extensive publications in high-impact journals. Education: Ph.D. in Telecommunications, Faculty of Electronics, University of Niš (2003) M.Sc. in Telecommunications, Faculty of Electronics, University of Niš (1999) B.Sc. in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1995) Her research interests include telecommunications , nonlinear optics , soliton physics , physical layer security , supercontinuum generation , and laser-induced breakdown spectroscopy . She applies analytical and numerical methods to model wave propagation and security in communication systems. Her work frequently involves collaborations with international researchers in theoretical and applied physics. The recent articles (2016–2024) show a strong trend in nonlinear wave phenomena in optical fibers and quantum systems, security in wireless and sensor networks , and advanced signal and data analysis in laser spectroscopy. Keywords across these works include solitons, fading channels, supercontinuum, physical layer security, and machine learning for spectroscopic data. Scientific Contributions: Over 50 journal publications with impact factor Active participation in 1 national research project Collaborations with researchers in India, USA, and Serbia Daniela Milović has advised numerous graduate students, though specific names are not listed in the provided text. She has not received any explicitly mentioned awards or fellowships. There is no information about lab leadership or team affiliations, but her publication record suggests active involvement in theoretical and computational research groups. She continues to publish cutting-edge work in telecommunications and applied physics.

• Machine Learning
• MPPT Algorithms
• Harmonic Detection
• +۵ مورد دیگر

Assoc. Prof. Marko Dimitrijević is affiliated with the University of Niš, Faculty of Electronic Engineering, where he holds the position of Associate Professor since 2021. He leads the Laboratory for Electronic Design Automation (LEDA) and the Laboratory for Electronics. His academic journey includes a PhD in 2012 on 'Electronic System for Polyphase Loads Analysis Based on FPGA' and postgraduate studies from 2005. He has conducted research exchanges at Technische Universität Ilmenau (Germany), IHP Microelectronics (Germany), the University of Southampton (UK), and Universidad Politécnica de Madrid (Spain). Prof. Dimitrijević teaches courses such as 'Introduction to Electronics' and 'System on a Chip' across undergraduate, master’s, and doctoral programs. His research focuses on MPPT algorithms, harmonic detection, FPGA applications, and smart grid technologies. He has supervised two master’s theses and contributed to numerous academic publications. His work bridges theoretical advancements with practical applications in renewable energy systems and power electronics. Education: Bachelor's in Electronics and Telecommunications (2002, Faculty of Electronics, Niš) Master's in Electronics (2005, Faculty of Electronics, Niš) PhD in Electronics (2012, Faculty of Electronics, Niš) Professional Roles: Assistant Professor (2016–2021) Associate Professor (since 2021) Head of LEDA and Electronics Lab Research Highlights: Development of FPGA-based systems for polyphase load analysis MPPT controller optimization for standalone PV systems Nonlinear load characterization using machine learning Labs & Teams: LEDA focuses on electronic design automation and power electronics, while the Electronics Lab supports undergraduate teaching and experimental research.

Milica D. Jovanovicمشاهده پروفایل

استادیار

• Wireless Sensor Networks
• Networks-on-Chip
• Communication Protocols
• +۵ مورد دیگر

Milica D. Jovanovic is an Assistant Professor in the Department of Electronics at the Faculty of Electronics, University of Niš, Serbia. She has been with the institution since 2013, progressing from assistant trainee to her current academic rank, and holds a PhD earned in 2017 from the same faculty. PhD, Faculty of Electronics, University of Niš (2017) MSc, Microsystems Design and Engineering, Faculty of Electronics, University of Niš (2011) BSc, Computer Engineering and Informatics, Faculty of Electronics, University of Niš (2003) Her research centers on wireless sensor networks, networks-on-chip, and communication protocols, with a focus on MAC layer design, contention resolution, and indoor localization. She employs signal processing, fuzzy logic, and optimization techniques to enhance network performance and reliability. Her recent publications reflect a strong trend in improving communication efficiency and robustness in constrained environments such as wireless sensor networks and on-chip interconnects. Key themes include tone-based contention resolution, multi-channel MAC protocols, deflection routing, and UWB-based localization, placing her work at the intersection of embedded systems, networking, and signal processing. She is actively involved in one national and one international research project, contributing to both theoretical and applied aspects of electronic systems. Her work has appeared in high-impact journals including The Journal of Supercomputing , Expert Systems with Applications , and Computer Communications . She has collaborated extensively with researchers such as Igor Z. Stojanovic, Sandra Djosic, and Goran Lj. Djordjevic. While no formal advisees are listed, her involvement in doctoral studies and research projects suggests mentorship roles within her lab and department.

Igor Jovanovicمشاهده پروفایل

استادیار

• Electronics
• Sensor Design
• Ultrasonic Transducers
• +۷ مورد دیگر

Igor Jovanovic is an Assistant Professor in the Department of Electronics at the Faculty of Electronics, University of Niš, Serbia. He has been actively involved in teaching and research since 2011, progressing from Teaching Associate to Assistant Professor, and earned his PhD in 2018 in the field of Electronics. His research interests focus on electronic systems, particularly in the design and modeling of ultrasonic transducers, Hall-effect current sensors, and piezoceramic devices. He applies advanced simulation tools like Matlab/Simulink for 3D modeling and performance optimization. His work spans applications in medical instrumentation, energy systems, and industrial measurement technologies. The recent publications highlight a strong trend in sensor development, electromechanical modeling, and thermal analysis. His work integrates principles from electronics, materials science, and applied physics, with a consistent emphasis on practical implementation and experimental validation. Stressing analysis of piezoceramic structures Design of ultrasonic sandwich transducers Optimization of Hall-effect current sensors Thermal monitoring in photovoltaic and medical applications He is currently participating in two national research projects, contributing to advancements in electronic measurement and transducer technologies. While no formal students are listed, his collaborative work suggests active mentorship and team-based research. Igor Jovanovic is a key contributor to the Department of Electronics, involved in both academic instruction and cutting-edge research. His lab work emphasizes precision instrumentation and sensor innovation, often in collaboration with peers such as D. Mančić and U. Jovanović. His research group focuses on developing reliable, high-performance electronic devices for industrial and biomedical applications.

Petar Uskokovićمشاهده پروفایل

استاد

• Nanomaterials
• Nanocomposites
• Biomaterials
• +۷ مورد دیگر

Petar Uskoković is a Full Professor at the Department of Graphic Engineering, Faculty of Technology and Metallurgy (TMF), University of Belgrade. Elected to his professorship on November 10, 2010, he has maintained active research and teaching roles while also serving as Vice-Dean for Science and Doctoral Studies at TMF since 2012. His work bridges graphic engineering with advanced materials science, particularly focusing on nanomaterials and their diverse applications. Dr. Uskoković's research spans multiple high-impact areas including nanocomposites, biomaterials, drug delivery systems, energy storage materials, and environmental applications. His work demonstrates particular expertise in carbon nanomaterials, nanofibers, and graphene-based composites. He has established significant research in controlled release systems for biomedical applications and innovative materials for water purification. His interdisciplinary approach connects graphic engineering principles with cutting-edge nanotechnology development. Analysis of his recent publications (2022-2025) reveals a strong focus on developing advanced nanomaterials for biomedical applications, particularly drug delivery systems using nanofibers, and energy storage solutions using novel carbon structures. His work shows increasing integration of biological systems with engineered nanomaterials, especially in immunomodulation and tissue engineering applications. The research demonstrates a clear trajectory toward more complex, multifunctional materials with precise control over structure-property relationships. Special award for the largest team at Serbia's best technological innovation competition (2014) 2nd place at Serbia's technological innovation competition (2011) Silver Medal with Nikola Tesla's image at Belgrade Inventions Exhibition (2008) 3rd place at Serbia's technological innovation competition (2007) Golden Plaque at Belgrade Inventions Exhibition (2003) Award for best doctoral dissertation (1999-2001 period) Professor Uskoković has mentored over 30 students across doctoral, master's, and undergraduate levels, with recent emphasis on nanomaterials for biomedical applications. He has successfully managed numerous international research projects including EU FP7 initiatives, bilateral Serbia-France collaborations, and EUREKA projects focused on polymer composites and recycling technologies. His leadership extends to coordinating the Scientific-Technological Park Zvezdara and serving on committees for nanotechnology standardization in Serbia. His research activities are supported by extensive laboratory facilities developed through multiple national and international projects, particularly those focused on nanomaterial synthesis and characterization. The Graphic Engineering Research and Development Center at TMF serves as a key platform for his team's work on advanced composite materials and nanotechnology applications.

• Computational Chemistry
• Coordination Chemistry
• Noncovalent Interactions
• +۵ مورد دیگر

Snezana D. Zaric is a Full Professor in the Department of General and Inorganic Chemistry at the University of Belgrade's Faculty of Chemistry, where she has served continuously since 1986. She advanced from Assistant Trainee to Full Professor in 2010, maintaining active research and teaching roles without interruption. Her career reflects deep institutional integration, including committee service for the Faculty's scientific strategy development since 2020. Her academic foundation includes: Bachelor's degree in Chemical Sciences (Faculty of Natural Sciences and Mathematics, University of Belgrade, 1980-1984) Master's degree in Chemical Sciences (Faculty of Natural Sciences and Mathematics, University of Belgrade, 1984-1990) Doctorate in Chemical Sciences (University of Belgrade - Faculty of Chemistry, 1990-1995) Dr. Zaric's research centers on computational chemistry, coordination chemistry, and noncovalent interactions, with emphasis on stacking phenomena in transition metal complexes and biological systems. Her work bridges crystallographic analysis and computational modeling to explore molecular recognition mechanisms, particularly aromatic-aromatic and chelate-ring interactions. This research has critical implications for amyloid self-assembly, protein structure stability, and high-energy material design. She employs advanced quantum chemistry methods to map potential energy surfaces and interaction geometries across diverse chemical environments. Analysis of her 2017-2021 publications reveals consistent thematic evolution: early work focused on fundamental stacking energetics in synthetic systems (2017-2018), progressing to environmental influences on interaction geometries in proteins (2020-2021). Key trends include methodological integration of crystallography with DFT calculations, expansion into biological contexts like amyloid formation, and innovative applications in anion recognition and electrocatalysis. Her most recent studies (2020-2021) emphasize environmental modulation of noncovalent interactions, demonstrating how solvent effects and macromolecular contexts alter interaction strengths. Scientific awards: No awards are documented in the source material. Dr. Zaric leads nationally funded research, including the active PROMIS project "Computer design of high-energy materials: case of chelate complexes" (2020-2022, #6066886) financed by Serbia's Fund for Science. Previously, she directed two Ministry of Science projects on pi-system interactions (2011 fundamental grant #172065; 2011-2015 innovative grant #172065-IC). Her extensive publication record (25+ articles 2011-2021) features collaborations with international researchers like Michael B. Hall and Edward N. Brothers, often involving multi-institutional teams. She mentors through co-authorship and teaches advanced courses including Computational Chemistry and Supramolecular Structures of Transition Metal Complexes. Professional engagement includes membership in the Serbian Chemical Society, American Chemical Society, and Serbian Crystallographic Society. She contributes to institutional strategy as a committee member for the Faculty of Chemistry's scientific development plan since December 2020. Her laboratory work focuses on crystallographic analysis and computational modeling, utilizing high-performance computing resources for quantum chemistry simulations.

• Machining Technology
• Cutting Temperature Modeling
• Tool Wear Prediction
• +۶ مورد دیگر

Borislav Savković is an Associate Professor at the Faculty of Technical Sciences , University of Novi Sad , specializing in Production Engineering . He has held academic roles since 2008, including Teaching Associate, Assistant Professor, and Secretary of the Chair of Machining. Research Focus : Machining optimization, cutting temperature modeling, tool wear prediction, and sustainable production techniques. Methodologies : Neural networks, fuzzy logic, genetic algorithms, and factorial experimental design. His work spans materials science (ductile iron, aluminum alloys) and precision manufacturing, with publications in journals like Materials , Measurement , and Applied Sciences . He contributed to international conferences and co-authored a textbook on machining technology.

• Computer Aided Design
• Manufacturing Systems
• Machine Tools
• +۶ مورد دیگر

Miloš Knežev is an Assistant Professor at the University of Novi Sad's Faculty of Technical Sciences, specifically within the Chair of Computer Aided Technological Systems and Design. He has been employed at the faculty since February 2016, progressing from Teaching Associate to Assistant-Master (2017-2023), and currently serving as an Assistant with PhD since February 2023. He also holds the position of Secretary of the Chair since November 2021. His research interests focus on computer-aided technological systems with particular expertise in spindle technology, thermal behavior modeling, and neural network applications in manufacturing processes. Dr. Knežev's work bridges theoretical modeling with practical industrial applications, particularly in high-speed machining systems and precision engineering. His publication record shows a clear progression in complexity and impact, with recent work focusing on neural network applications for machining parameter optimization and thermal behavior modeling of motorized spindles. His research combines computational methods with experimental validation, demonstrating expertise in both numerical simulation and physical testing of machine tool components. Dr. Knežev has published in reputable journals including Materials and Machine Design, with multiple conference presentations at international venues such as COMETa and KOD. His work consistently addresses critical challenges in manufacturing precision and machine tool performance. As an academic, he contributes to both research and teaching within the mechanical engineering domain, with a strong focus on the integration of computational methods and traditional manufacturing engineering principles. His position as Secretary of the Chair demonstrates additional administrative responsibilities within his academic unit.

Marina Miloševićمشاهده پروفایل

دانشیار

• Medical Image Processing
• Breast Cancer Detection
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Marina Milošević is an Associate Professor at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She specializes in medical image processing, particularly breast cancer detection using thermography and mammography, along with database systems and human-computer interaction. Her work bridges computer engineering with biomedical applications, focusing on practical implementations for healthcare improvement. Her educational background includes a Bachelor's degree in Computer Engineering from the Technical Faculty in Čačak (2010, GPA 9.47) and a PhD from the Faculty of Electronics, University of Niš (2016). She has received multiple awards for academic excellence and was a scholarship recipient from several prestigious institutions including the Fund for Young Talents and the Ministry of Education of Serbia. Dr. Milošević's research interests focus on medical image processing, particularly breast cancer detection using thermography and mammography. She has developed systems for remote mammogram processing and comfort level classification during patient transport. Her work also extends to database systems, geographic information systems, and human-computer interaction. She holds multiple professional certifications in database technologies from INTERGRAPH and ORACLE ACADEMY. Her publication record shows a strong trend toward interdisciplinary research combining computer engineering with medical applications. Recent work has expanded into transportation systems, earthquake detection using mobile phones, and agile software development methodologies. Her research consistently focuses on practical implementations with real-world applications, particularly in healthcare diagnostics and monitoring. Scholarship recipient of the Fund for Young Talents Scholarship recipient of the University of Kragujevac Scholarship recipient of the Ministry of Education of the Republic of Serbia Vuk Karadžić diploma for exceptional academic performance Dr. Milošević teaches across all academic levels, from Bachelor's courses in Fundamentals of Computer Engineering and Databases to PhD-level courses on Virtual Reality Applications in Medicine and Biomedical Image Processing. Her work on a patent for a random number generator based on Geiger-Muller counter technology demonstrates her innovative approach to solving engineering problems. She has been actively involved in adapting engineering education for remote learning during the pandemic. She leads research in the Computer Science Laboratory at the Faculty of Technical Sciences, focusing on medical image processing systems and database applications. Her recent work includes developing web-based systems for remote mammogram processing and analyzing vehicle vibration signals for comfort assessment. She collaborates with researchers across multiple institutions on interdisciplinary projects that bridge computer engineering with healthcare applications.

Vladimir Milovanovićمشاهده پروفایل

دانشیار

• Electrical Engineering
• Computer Science
• Signal Processing
• +۷ 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.

Vladimir M. Stojanovicمشاهده پروفایل

استاد مهمان

• Integrated systems
• modeling of noise and dynamics
• digital communications
• +۴ مورد دیگر

Vladimir M. Stojanovic is a Visiting Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Electrical Engineering and Computer Science and the Research Laboratory of Electronics. Dr. Stojanovic was born in 1974 in Kragujevac, Serbia. He graduated from the Faculty of Electrical Engineering in Belgrade and completed his master's thesis and doctoral dissertation at Stanford University in the United States. His research spans several key areas in electrical engineering and computer science, with particular expertise in integrated systems design. His work focuses on modeling of noise and dynamics in complex systems, digital communications protocols, and the design of analog and VLSI circuits. He has made significant contributions to communications and signal processing technologies, with recent work emphasizing high-speed electrical and optical links and transceiver design. His research has practical applications in high-performance computing, telecommunications infrastructure, and next-generation networking technologies. As a Visiting Professor at MIT's Research Laboratory of Electronics, Dr. Stojanovic contributes to one of the world's leading research institutions in electrical engineering and computer science. The Research Laboratory of Electronics at MIT is known for its interdisciplinary approach, bringing together researchers from various fields to tackle complex technological challenges.

• Automotive Engineering
• Vehicle Dynamics
• Brake Systems
• +۶ مورد دیگر

Ivan Grujić is an Associate Professor in the Department of Motor Vehicles and Motors at the Faculty of Engineering, University of Kragujevac. His research focuses on automotive engineering, brake systems optimization, internal combustion engines, and vehicle safety. He holds a position in the Chair of Motor Vehicles and Engines and has been actively involved in academic leadership since February 2022. Key research interests include thermal management of engine components, aerodynamic design improvements, and environmental impacts of transportation. His work often integrates numerical simulations with experimental validation to address challenges in friction materials, combustion efficiency, and safety standards. Notable areas include brake wear reduction, alternative fuel applications, and ergonomics in agricultural machinery. Recent studies emphasize trends in electric vehicle design, hydrogen injection effects on engines, and non-exhaust emissions from brake wear. He is affiliated with the SciDAR repository for academic publications and coordinates research in laboratories focused on tribology, thermal analysis, and vehicle dynamics. His academic contributions span over 50 peer-reviewed articles, with a focus on interdisciplinary approaches to solving transportation engineering challenges. Grants and collaborations are tied to EU projects addressing sustainable mobility and safety innovations.

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

Vladimir Kočović is an Associate Professor of Production Engineering at the Faculty of Engineering, University of Kragujevac. His research focuses on advanced manufacturing processes, tribology, materials science, and optimization of machining techniques. He holds a position in the Department of Production Engineering and has contributed to numerous interdisciplinary studies. His work spans experimental and computational methods, including tool wear analysis, material testing, and automation in manufacturing. He has developed specialized devices for measuring kinetic friction coefficients and optimizing cutting processes. Notable projects include studies on micro-cutting processes, 3D model reconstruction, and the application of AI in defect classification. Despite his prolific research output, no scientific awards are explicitly mentioned. He collaborates on projects involving tribological investigations, reverse engineering, and additive manufacturing. His academic activities include teaching and advising on mechanical engineering and industrial processes, though student names are not listed in available texts.

Dragan H. Stojanovicمشاهده پروفایل

استاد

• Artificial Intelligence
• Edge Computing
• Smart City Systems
• +۳ مورد دیگر

Dr. Dragan H. Stojanovic serves as a Professor at the Faculty of Electronic Engineering, University of Niš, specializing in computer science since his appointment in 2015. His academic journey spans over three decades at the same institution, where he earned all his degrees and now leads research in cutting-edge computational fields. His educational background includes: PhD in Electrical Engineering and Computing (2004, University of Niš) MSc in Electrical Engineering and Computing (1998, University of Niš) BSc in Electrical Engineering and Computing (1993, University of Niš) Stojanovic's research centers on Artificial Intelligence and Edge Computing , with significant contributions to Smart City infrastructures, parallel processing algorithms, and neural network applications. His work bridges theoretical computer science with practical implementations in urban systems, demonstrated through collaborations on 1 national and 2 international research projects . Recent publications (2022-2025) reveal a strategic pivot toward resource-constrained AI deployment across edge-fog architectures, while earlier work (2014-2020) established foundations in geospatial data parallelization and social media analytics. His publication portfolio shows evolving expertise: 2014-2019: Focus on parallel computing (MPI/CUDA) for geospatial and trajectory data 2020-2022: Integration of IoT and social networks into Smart City business processes 2023-2025: Advanced Edge AI optimization for real-time object detection and prediction systems Stojanovic actively contributes to academic knowledge transfer through project leadership and has published 16 journal articles in impact-factor journals. His current research trajectory emphasizes sustainable computing paradigms for urban environments, with emerging work on competency-focused AI education frameworks.

Mladen Veinovićمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Data Protection
• +۷ مورد دیگر

Mladen Veinović is a Professor at Singidunum University, affiliated with the Faculty of Informatics and Computing. He holds a Doctorate in Systems Theory from the School of Electrical Engineering, University of Belgrade (1996), along with postgraduate and bachelor's degrees in Automatic Control and Electronics from the same institution. His research focuses on cybersecurity, network security, signal processing, and machine learning. Key contributions include work on malware C2 infrastructure, IoT security, steganography, and robust speech processing algorithms. He has authored/co-authored over 40 books and numerous peer-reviewed articles in journals like IEEE Access, Sensors, and Computers & Security. Veinović is actively involved in education technology, developing secure communication tools and problem-based learning approaches. His work spans cloud forensics, blockchain applications, and pandemic-era teaching strategies. He has been a key contributor to projects like the WIDE web development framework and cybersecurity tools for sensor networks. Professional affiliations include Singidunum University's research institute and participation in international conferences like Sinteza and TELSIKS. His expertise bridges theoretical research and practical applications in digital systems, IoT, and information security.