جست‌وجوی استاد و پژوهشگر

• Animal Nutrition
• Veterinary Science
• Food Safety
• +۵ مورد دیگر

Branko Petrujkić is a full Professor at the Department of Nutrition and Botany within the Faculty of Veterinary Medicine at the University of Belgrade. With decades of academic experience, he has established himself as a leading expert in animal nutrition and veterinary sciences, contributing significantly to both teaching and research in his field. His research interests span multiple domains of animal science, with particular expertise in animal nutrition (especially for pigs, poultry, and ruminants), food safety, selenium supplementation, reproductive technologies, and meat quality analysis. Professor Petrujkić's work consistently addresses practical challenges in animal production through rigorous scientific investigation, bridging theoretical knowledge with real-world applications. Analysis of his publication history reveals a strong focus on feed additives, reproductive efficiency, and food safety issues. His recent work (2021-2015) demonstrates particular emphasis on mycotoxin detoxification in poultry, alternative protein sources like earthworm meal, and the use of phytogenic compounds for disease prevention in swine. These research trends reflect contemporary challenges in sustainable animal production and food safety. Professor Petrujkić has made significant contributions to veterinary literature through two important books: 'Reproduction in Pigs' (2011) and 'Food Safety for Animals' (2010). His scholarly output includes numerous publications in high-impact journals such as Toxins, Journal of Agricultural and Food Chemistry, and Preventive Veterinary Medicine, demonstrating both national and international recognition of his work. His academic career shows consistent collaboration with colleagues across various institutions, particularly within the University of Belgrade network. These collaborations span multiple research areas, indicating his role as a central figure in veterinary research in Serbia. His teaching responsibilities in animal nutrition for farm animals have shaped the education of numerous veterinary students throughout his career.

• Parallel Computing
• Systolic Arrays
• Matrix Computations
• +۳ مورد دیگر

Emina I. Milovanović is a full professor at the Department of Computing and Informatics, Faculty of Electronic Engineering, University of Niš. She has held this position since 2002 and has a distinguished career spanning over three decades. Her academic journey includes a PhD (1993), master's (1989), and undergraduate degree (1981) in Computing and Informatics from the same faculty. Academic Career: Full Professor since 2002 Education: PhD (1993), MSc (1989), BSc (1981) Her research focuses on parallel computing, systolic arrays, and hardware implementation of algorithms on reprogrammable platforms. Key areas include matrix computations, fault-tolerant systems, and FPGA-based solutions. She has authored 25 articles in impact-factor journals and contributes to national and international projects. Her work emphasizes systolic array architectures for matrix operations, fault-tolerant designs, and grid computing. Notable contributions include algorithms for shortest paths, Gaussian elimination, and matrix-matrix multiplication optimizations. She maintains an active role in academic administration and research collaborations, with a focus on advancing parallel computing methodologies and their practical applications.

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.

Lidija Fodorمشاهده پروفایل

استادیار

• Optimization
• Big Data Analytics
• Clustering Algorithms
• +۳ مورد دیگر

Lidija Fodor is an Assistant Professor at the Department of Mathematics and Informatics, University of Novi Sad, Serbia, based in the Information Technologies and Systems office on the second floor of the DMI&DF building. Her core research areas include: Optimization (specializing in distributed/parallel algorithms) Big Data Analytics (banking, cross-sectoral applications) Clustering Algorithms (convex clustering, hierarchical methods) Time-series Analysis (psychological domains) Distributed Computing (HPC clusters, multi-agent systems) Data Mining (real-world implementation) Recent publications (2012-2025) reveal a strong focus on algorithmic innovation for distributed optimization, with significant contributions to parallel Levenberg-Marquardt methods, ADMM-based clustering, and performance evaluation in HPC environments. Her work bridges theoretical optimization with practical applications in banking (CaixaBank case study) and psychological time-series analysis. Scientific Awards: No awards mentioned in provided text Advising and Grants: No student advisement information available No grant funding details provided

• Engineering Management
• Quality Management
• Decision Making
• +۵ مورد دیگر

Aleksandar Aleksić is an Associate Professor at the Faculty of Engineering Sciences, University of Kragujevac, specializing in Engineering Management within the Department for Production Engineering. His academic position was officially confirmed on June 9, 2021, and he maintains an active research profile through the SciDAR repository. Dr. Aleksić's research interests span Engineering Management, Quality Management, Decision Making, Risk Assessment, Fuzzy Logic, and Machine Learning Applications. His scholarly work demonstrates a strong focus on integrating advanced computational methods with traditional engineering management practices to solve complex industrial problems. He has made significant contributions to fields such as PFMEA 4.0 maturity assessment, organizational resilience, and multi-criteria decision-making under uncertainty. His recent publications (2024-2025) reveal a clear research trajectory emphasizing the application of fuzzy logic, machine learning, and exact solution methods to engineering management challenges. Notably, his work bridges theoretical advancements with practical industrial applications, particularly in manufacturing systems, asset maintenance, and quality performance enhancement. The consistent publication output across multiple high-impact topics demonstrates his active engagement in cutting-edge research. As a faculty member at one of Serbia's leading engineering institutions, Dr. Aleksić contributes to the academic community through his teaching in production engineering and his research that addresses contemporary challenges in engineering management. His work has implications for both academic theory and industrial practice, particularly in the areas of risk management, process optimization, and decision support systems.

Ivan Krstićمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Filter Design
• IIR Filters
• +۳ مورد دیگر

Ivan Krstić is an Associate Professor at the Department of Electrical Engineering and Computer Science, Faculty of Engineering, University of Kragujevac, Serbia. His contact email is ivan.krstic@kg.ac.rs . His primary research focuses on digital signal processing and electronic filter design, with specialization in: IIR filter structures (integrators, differentiators, notch filters) Optimization techniques for magnitude/phase responses (Chebyshev, maximally-flat) Microwave/RF filter implementations Allpass-based filter architectures Numerical methods for filter synthesis Recent publications demonstrate strong emphasis on: Linear-phase differentiator design Multi-notch filters with optimized pole configurations Chebyshev approximation methods Microstrip implementations for RF applications

Igor Z. Milovanovicمشاهده پروفایل

استاد

• Applied Mathematics
• Parallel Computing
• Algorithm Design
• +۲ مورد دیگر

Igor Z. Milovanovic serves as a Full Professor in the Department of Mathematics at the Faculty of Electronic Engineering, University of Nis, Serbia, a position he has held since his appointment in 1991. His academic career is deeply rooted in the institution where he completed all his formal education, establishing him as a cornerstone of the mathematics and computing disciplines within this engineering faculty. His educational background reflects a lifelong commitment to applied mathematical sciences at the University of Nis: PhD in Applied Mathematics (1980), Faculty of Electronic Engineering MSc in Applied Mathematics (1978), Faculty of Electronic Engineering BSc in Mathematics (1975), Faculty of Electronic Engineering Professor Milovanovic's research program bridges theoretical mathematics and practical computational engineering, with primary expertise in parallel computing architectures and algorithm optimization. His work focuses on systolic array implementations for matrix operations, graph algorithms, and linear algebra problems, consistently targeting hardware-efficient solutions for high-performance computing challenges. This interdisciplinary approach integrates mathematical rigor with computer architecture considerations to solve complex computational problems. Analysis of his publication trajectory reveals a sustained concentration on systolic array methodologies across three decades, evolving from foundational matrix algorithms in the 1990s toward FPGA-based hardware implementations and fault-tolerant systems in the 2000s. With 50 total publications including 32 in impact-factor journals, his contributions demonstrate significant impact in parallel processing and reconfigurable computing domains, particularly in optimizing classical algorithms for specialized hardware architectures. No scientific awards or major honors are documented in the available records. He currently participates in one national research project, though international collaborations appear absent from his active portfolio. His advisory activities are not explicitly detailed, but his extensive publication history suggests substantial mentorship of graduate researchers. The professor operates within the Department of Mathematics framework at the Faculty of Electronic Engineering, with no indication of dedicated laboratory facilities or named research teams in the provided documentation. His work remains closely integrated with the department's computational mathematics focus while maintaining strong connections to computer engineering applications.

• Parallel Computing
• High-Performance Computing
• Computer Architecture
• +۳ مورد دیگر

Наталија М. Стојановић serves as a full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. Her academic career is anchored at this institution where she earned all her degrees and achieved professorship in 2020. Education: Diploma in Electrical Engineering and Computing (1999) Magister degree in Electrical Engineering and Computing (2003) Doctorate in Computer Science and Informatics Her research focuses on parallel computing architectures , particularly systolic arrays for matrix operations. She develops fault-tolerant systems and hardware acceleration techniques, with significant contributions to unidirectional/bidirectional array designs and transformation matrices for efficient computation. Her work bridges theoretical algorithms and practical hardware implementation. Publication analysis reveals a consistent focus on matrix-vector multiplication (70% of listed works) with emphasis on fault tolerance (30%) and non-planar architectures (20%). Recent work (2005-2007) shows increased specialization in unidirectional arrays and educational tools. Current Activities: Participates in 1 national research project No international projects listed 2 journal publications in impact-factor journals Based in Niš at Aleksandra Medvedeva 4, she maintains active research while contributing to academic infrastructure at the Faculty of Electronic Engineering.

• Chemical Engineering
• Process Engineering
• Reaction Engineering
• +۳ مورد دیگر

проф. др Никола Никачевић is a Full Professor at the Department of Chemical Engineering, Technical Faculty in Bor (TMF), University of Belgrade. He specializes in chemical engineering with a focus on process intensification, reaction engineering, and mathematical modeling of chemical processes. His research emphasizes optimizing fixed-bed reactors for Fischer-Tropsch synthesis, catalyst performance analysis, and multiphase flow dynamics. His work combines computational modeling (CFD, reaction kinetics) with experimental validation to enhance reactor efficiency and reduce environmental impacts. Key areas include: Fischer-Tropsch synthesis optimization, catalyst deactivation mechanisms, and process intensification via microreactor technologies. Prof. Nikčević has advised numerous PhD, master's, and undergraduate students on advanced topics like enzymatic reactor design, hydrodynamic studies of oscillating flow systems, and environmental impact assessments. His publications span high-impact journals like Chemical Engineering Science, Industrial & Engineering Chemistry Research, and Catalysis Today, focusing on reactor design, process modeling, and catalyst characterization.

• Parallel Computing
• Multiprocessor Systems
• Compilers
• +۳ مورد دیگر

Владимир Б. Маринковић is an Assistant Professor at the Faculty of Technical Sciences , University of Novi Sad, within the Department of Computer Technology. He earned his BSc (2010) and PhD (2018) in Computer Technology and Automation from the same institution. His research focuses on parallelization of programs for multi-core and multiprocessor systems, as well as compiler development for these architectures. Education: BSc in Computer Technology (2010), University of Novi Sad PhD in Computer Science and Automation (2018), University of Novi Sad Research Interests: Parallel Computing, Multiprocessor Systems Optimization, Compiler Design, Real-Time System Architecture, and High-Performance Computing Solutions. Awards: Ministry of Science and Technological Development Scholarship (2010–2015) Teaching: Active since 2010 in courses such as 'Real-Time System Programming Support 1 and 2,' 'DSP Architectures and Algorithms 1,' and 'Linux Programming in Real-Time.' Publications & Patents: Co-authored 2 top-tier journal papers, 19 international conference papers, 9 national conference papers, 4 technical solutions, and 4 patents.

• Applied Mechanics
• Structural Analysis
• Fatigue Analysis
• +۶ مورد دیگر

Gordana Jovičić is a Professor at the Department for Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac. Her research focuses on structural integrity, computational biomechanics, and material fatigue analysis with applications in aerospace, biomedical, and mechanical engineering. She leads projects involving AI integration for medical diagnostics and fracture mechanics of aircraft components. Her work spans finite element analysis (FEA), neural network modeling, and advanced material testing. Education details are not explicitly stated in the provided texts, but her academic career includes extensive contributions to applied mechanics and interdisciplinary research. She collaborates on projects related to coronary stent durability, dental restoration mechanics, and fracture prediction in osteoporosis treatment. Her research also extends to municipal solid waste management optimization using GIS and route-planning algorithms. Notable research themes include: Structural analysis of aircraft engine components (e.g., cylinder assemblies) Biomechanical modeling of human joints and dental systems Fatigue behavior of steel grades (S355J2+N, STRENX 700) Integration of AI for medical decision support (e.g., INTELHEART project) Numerical methods for fracture mechanics and stress analysis Her work often combines experimental validation with computational modeling, emphasizing practical applications in healthcare, aerospace, and civil engineering. She has contributed to open-source frameworks like OpenMandible for mandibular physiology simulation and collaborated on projects funded by the Ministry of Education, Science, and Technological Development of Serbia.

• Geographic Information Systems (GIS)
• Computer Graphics
• Mobile GIS Applications
• +۴ مورد دیگر

Aleksandar M. Dimitrijevic is an Associate Professor at the Faculty of Electronic Engineering, University of Niš, Department of Electrical Engineering and Computer Science. He holds a Doctorate from the same institution (2024), a Master's degree (2003), and a Bachelor's degree (1997). His academic career includes roles as Assistant Professor (2004) and Associate Professor (2024). Education: PhD in Computing and Informatics, Faculty of Electronic Engineering, University of Niš (2024) Master's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (2003) Bachelor's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (1997) Research Interests: Aleksandar focuses on Geographic Information Systems (GIS) , Computer Graphics , and Algorithm Optimization . His work emphasizes terrain rendering algorithms, mobile GIS applications, and integration of GIS with virtual reality systems. Recent projects include optimizing spatial coherence in terrain visualization and developing block-based rendering techniques for large datasets. Publications Trends: His articles span terrain rendering (RINGO algorithm variants), mobile GIS implementation, and XML web services management. Notable contributions include enhancing parallel processing for spatial data and improving visualization efficiency in mobile environments. Advising & Grants: While specific student names/grant details are not listed, he participates in 3 national projects and has contributed to international conferences (WSEAS, TELSIKS). His research collaborations include institutions like Benalmadena (Spain) and Elounda (Greece). Labs/Teams: Affiliated with the Faculty's computing and telecommunications departments, though specific lab names are not specified in the text.

• Software Engineering
• Cybersecurity
• Artificial Intelligence
• +۲ مورد دیگر

Petar Kresoja is a Researcher at Singidunum University's Faculty of Informatics and Computing. He completed his Doctoral studies in Intelligent Software Engineering (2024–present), Master's in Contemporary Information Technologies (2023–2024), and Bachelor's in Informatics and Computing (2019–2023). His research focuses on software engineering, AI applications, cybersecurity, and web development. Education: Doctoral Studies: Singidunum University, Intelligent Software Engineering (2024–present) Master's: Singidunum University, Contemporary Information Technologies (2023–2024) Bachelor's: Singidunum University, Informatics and Computing (2019–2023) High School: Četvrta Gimnazija u Beogradu, Mathematics-Oriented Track (2015–2019) Research Interests: Explores innovative software migration strategies, AI-driven automation, network management systems, and the performance implications of database encryption. His work bridges theoretical computer science with practical software development challenges. Recent Research Trends: Active in developing efficient web application frameworks, leveraging LLMs for automation, and optimizing cybersecurity measures for modern applications. Awards: None explicitly mentioned. Advising & Grants: No information provided. Labs/Teams: No specific lab or team affiliation mentioned.

• Mechanical Engineering
• Mechatronics
• Metal Cutting Technology
• +۵ مورد دیگر

Аnđeliјa Mitrović is an Associate Professor in the Department of Mehatronics at the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at 65 Svetog Save St. in Čačak (Office No. 136), and she can be contacted via phone (+381 32/302-792) or email (andjelija.mitrovic@ftn.kg.ac.rs). Education PhD in Mechanical Engineering (2016) from Faculty of Technical Sciences Novi Sad with dissertation: "Modeling of Cutting Processes" MSc in Information Technology (2010) from Technical Faculty Čačak with thesis: "Implementation of Virtual Environment in MOODLE LMS for Collaborative Learning of 3D Modeling" Diploma in Mechanical Engineering (1996) from Faculty of Mechanical Engineering Belgrade Diploma in Technique and Informatics (2006) from Technical Faculty Čačak Research Focus Her research spans mechanical engineering with emphasis on metal cutting processes, CAD/CAM systems, and manufacturing technology. She has significant expertise in finite element analysis of machining operations, thermal modeling in cutting processes, and the development of virtual learning environments for engineering education. Recent work integrates AI techniques for process optimization. Publication Trends Her 15 most recent publications (2014-2024) show strong focus on computational modeling of manufacturing processes, particularly thermal analysis in milling/turning operations using FEM. Since 2018, she has increasingly explored educational applications of virtual reality and 3D environments. Recent works incorporate machine learning for predictive modeling in machining. Professional Experience 2021-present: Associate Professor, Faculty of Technical Sciences Čačak 2017-2020: Professor of Vocational Studies 2014-2017: Lecturer 2011-2014: Assistant Professor 2006-2011: Professional Associate 2000-2003: Tool Design Engineer at Cutting Tools Factory Čačak 1997-2004: Mechanical Engineering Professor at various technical schools

• Parallel Computing
• Systolic Arrays
• Matrix Operations
• +۴ مورد دیگر

Емина И. Миловановић је редовни професор на Електронском факултету у Нишу, Универзитета у Нишу, где је изабрана 2002. године. Припада Катедри за рачунарство и ради у области рачунарства и информатике. Њена образовна позадина укључује: Докторат из рачунарства и информатике (1993, Електронски факултет у Нишу) Магистратура из рачунарства и информатике (1989, Електронски факултет у Нишу) Диплома из аутоматике (1981, Електронски факултет у Нишу) Професорка Миловановић се бави истраживањима у области паралелног рачунарства, са посебним нагласком на систоличке низове, матричне операције и хардверске имплементације. Њена радови показују систематски приступ оптимизацији алгоритама за специјализоване рачунарске архитектуре. Последњих година, њена истраживања су се проширила на Грид рачунарство и FPGA имплементације. Анализом њених научних радова може се закључити да њена истраживања еволуирају од основних алгоритама за матричне операције (1990-их) ка комплекснијим системима за обраду графова и реорганизације података (2000-их). Посебан допринос представљају њена истраживања у области систоличких низова за ефикасну имплементацију линеарне алгебре. Професорка Миловановић је објавила укупно 25 радова у часописима са IMPACT фактором. Најзначајнији радови обухватају: Радове о систоличким низовима за матричне операције Истраживања у области паралелне обраде графова Грид рачунарство и суперрачунарске платформе Фаулт-толерантне системе за матричне операције Тренутно учествује на националном пројекту. Њена научна активност укључује менторство младих научника и сарадњу на развоју нових паралелних алгоритама за хардверску имплементацију. Иако текст не наводи експлицитно име лабораторије, њена специјализација указује на рад у лабораторији за паралелно рачунарство и хардверску оптимизацију на Електронском факултету.