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Ivan Z. MilentijevicView profile

Professor

• Computer Science
• Electrical Engineering
• Digital Signal Processing
• +3 more

Professor Ivan Z. Milentijevic is a full professor at the Faculty of Electronics in Niš, University of Niš, within the Department of Electrical Engineering and Computer Science. He earned his PhD in Computer Science from the same institution in 1998, following a Master's (1994) and undergraduate degree (1989) in the same field. His research focuses on systolic arrays, digital signal processing architectures, and project-based learning methodologies. He has published 8 papers in journals with impact factor and is currently involved in 1 domestic and 1 international research project. Research interests include: Optimal design of systolic arrays for matrix operations FIR filter architectures and error-tolerant systems Reconfigurable hardware and parallel processing Educational technologies in project-based learning His recent work (2002–2008) emphasizes configurable architectures for signal processing and collaborative learning systems. Earlier contributions (1996–1998) focused on systolic array optimization for linear algebra operations. Advising/grants: No explicit student/advisor relationships listed. Current projects involve 1 domestic and 1 international collaboration. Grants and funding details not specified. Labs/teams: Affiliated with the Faculty of Electronics' research groups in computer engineering and signal processing, though specific lab names are not mentioned.

Vladimir M. CiricView profile

Professor

• Computer Networks
• Network Security
• Parallel Computing
• +3 more

Dr. Vladimir M. Ciric is a Full Professor at the Faculty of Electronics, University of Niš, leading the Department of Computer Science. He directs the Laboratory for Advanced Security Systems and specializes in network security, distributed systems, and high-performance computing. His research spans intrusion detection systems, cloud computing cost modeling, and parallel algorithm design. Notable contributions include Hadoop-based network intrusion detection techniques and tiered programming pedagogy. He received the Cisco Excellence Award (2015) for network technology education. Dr. Ciric teaches courses on network design, cloud computing, and security while maintaining research collaborations in cybersecurity and distributed architectures. His recent work focuses on extreme class imbalance in intrusion datasets and sparse matrix optimizations.

Nada DamljanovićView profile

Professor

• Mathematics
• Automata Theory
• Fuzzy Systems
• +4 more

Nada Damljanović is a Full Professor at the Department of Mathematics within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. Her academic progression includes positions as Junior Teaching Assistant (2003-2007), Teaching Assistant (2007-2012), Assistant Professor (2012-2017), Associate Professor (2017-2022), and Full Professor (2022-present). Education includes: BSc in Mathematics (2002) from University of Belgrade MSc in Mathematics (2007) from University of Niš PhD in Mathematics (2012) from University of Niš Her research focuses on automata theory , fuzzy systems , semiring structures , and multi-criteria decision-making methods . She investigates mathematical foundations of weighted automata, lattice-based algebraic structures, and applications in engineering decision models. Recent work explores fuzzy relation inequalities and computational methods for automata equivalence. Publications predominantly address mathematical modeling in computer science and decision theory. Most articles focus on automata bisimulations (2010-2014), shifting toward multi-criteria analysis and applied mathematical methods in engineering (2015-2020). Recent works integrate mathematical frameworks with signal processing and electrical engineering applications. She leads/participates in key research projects: Quantitative automata models (QUAM, 2022-2024) Computation methods development (174013, 2011-present) Weighted pushdown automata (DFG-funded, 2019-2020) Algebraic structures in information processing (144011, 2006-2010) Editorial activities include Co-Editor-in-Chief of Mathematica Moravica and Associate Editor for Kragujevac Journal of Mathematics . Teaches undergraduate courses in Mathematics, Discrete Mathematics, and Quantitative Methods, plus graduate courses in Mathematical Modeling and Fuzzy Systems.

Saket SaurabhView profile

Professor

• Parameterized Complexity
• Exact Exponential Algorithms
• Graph Theory
• +5 more

Saket Saurabh is a Professor at the Institute of Mathematical Sciences (IMSc), Chennai, India, and an Adjunct Faculty at the University of Bergen, Norway. He holds a PhD in Theoretical Computer Science (TCS) from IMSc (2008). His research focuses on Parameterized Complexity, Exact Exponential Algorithms, Graph Theory, Algorithmic Game Theory, and Theoretical Foundations of Machine Learning. Before joining IMSc, he held postdoctoral positions at the University of Bergen (2007–2009) and was a Research Assistant there (2006–2007). He teaches advanced courses such as Parameterized Complexity, Kernelization, and Algorithms for Big Data. His work emphasizes developing efficient algorithms for NP-hard problems through techniques like kernelization and fixed-parameter tractability. His publications primarily address graph algorithms, parameterized complexity, and algorithm design, with contributions to meta-kernelization frameworks, representative families, and lower bounds for clique-width parameterizations. Notable collaborations include seminal work on graph isomorphism for bounded treewidth graphs and the fixed-parameter tractability of minimum bisection.

Lazar KopanjaView profile

Associate Professor

• Computer Vision
• Image Processing
• Shape Analysis
• +4 more

Lazar Kopanja serves as Associate Professor and Acting Dean of the Faculty of Information Technologies at Alfa BK University in Belgrade, Serbia, a position he has held since 2017. His interdisciplinary work bridges computer science and materials engineering with significant contributions to nanomaterials characterization. His educational foundation includes: Bachelor's degree in Computer Science from the Faculty of Science and Mathematics, University of Novi Sad Master's degree in Mathematics Teaching Methodology from the same institution Doctorate in Magnetic Properties of Nanoparticles from the University of Belgrade's Faculty of Technology and Metallurgy Dr. Kopanja's research centers on computational shape analysis and image processing , developing algorithms for quantifying nanoparticle morphology in TEM and confocal microscopy. His work has pioneered novel circularity and ellipticity measures for complex nanostructures, with applications spanning magnetic materials, biomedical imaging, and nanomedicine. The integration of computer geometry with materials science represents his signature interdisciplinary approach. Analysis of his 13 SCI-indexed publications reveals a consistent trajectory from foundational shape orientation algorithms (2005-2006) toward applied nanomaterials characterization (2016-2018), increasingly incorporating biological systems. His recent work demonstrates sophisticated fusion of image processing with magnetic property analysis in hematite and iron oxide nanostructures. As project manager for bilateral Serbia-Slovakia and Serbia-Belarus research initiatives, he has secured international funding for collaborative work in nanoparticle synthesis and characterization. His technical leadership extends to mentoring high school students for programming competitions and developing web applications through industry partnerships.

• Parallel Computing
• Systolic Arrays
• Matrix Computations
• +3 more

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.

Miroslav PopovićView profile

Researcher

• Nuclear Engineering
• Materials Science
• Environmental Engineering
• +3 more

Miroslav Popović is an academic affiliated with Singidunum University's Faculty of Informatics and Computing . His expertise spans nuclear engineering, materials science, environmental engineering, and medical research. He holds a PhD from the University of California, Berkeley (2013–2017) in Nuclear Engineering, and bachelor's degrees in Physics (2000–2009) and Chemistry (2000–2004) from the University of Belgrade. His research focuses on advanced materials for nuclear applications , environmental sustainability , and medical technologies . Key projects include corrosion studies in liquid metals (e.g., Pb-Bi eutectic), AI-driven waste classification systems, and clinical trials for scoliosis treatments. He has authored/co-authored over 30 peer-reviewed articles and a textbook Prirodni hazard (2024). Recent work highlights: Convolutional neural networks for waste management (2025) Randomized controlled trial for Schroth Method in adolescent scoliosis (2025) Hydrometallurgical recovery of metals from tailings (2024) Structural analysis of tungsten under helium ion irradiation (2022) He collaborates with institutions like UC Berkeley and the Serbian Academy of Sciences. No awards or grants are explicitly listed, though his prolific publication record indicates active research funding.

• Metallurgical Engineering
• Materials Engineering
• Surface Engineering
• +4 more

Prof. Dr Karlo Raić is a full Professor at the Department of Metallurgical Engineering , Faculty of Technology and Metallurgy , University of Belgrade . His academic career spans over three decades with a focus on metallurgical and materials engineering . Teaching: Surface Engineering, Iron and Steel Metallurgy, Welding Physics, Transport Phenomena Research: Metal-ceramic interfaces, dental biomaterials, composite materials, CFD analysis Publications: 20+ journal articles (Metallurgical and Materials Engineering, Metals, Surface Engineering) Research Trends : Recent work emphasizes dental metallic materials and metal-ceramic joining with active filler metals. He investigates additive manufacturing of dental alloys, wetting phenomena at liquid metal/ceramic interfaces, and CFD modeling of metallurgical processes. Project Leadership : • Thermal Barrier Coatings (2002-2005) • Nanostructured Materials Synthesis (2006-2010) • Metal Matrix Composites (2011-2015) International Collaboration : DAAD fellowship (Germany), Max Planck Institute (Germany), Washington State University (USA), Montanuniversität Leoben (Austria).

Igor Z. MilovanovicView profile

Professor

• Applied Mathematics
• Parallel Computing
• Algorithm Design
• +2 more

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.

• Numerical Analysis
• Computational Mathematics
• Root-Finding Algorithms
• +2 more

Јована С. Џунић is an Associate Professor in the Mathematics Department at the Faculty of Electronic Engineering, University of Niš. Appointed to this rank in 2023, she previously served as Assistant Professor (2002) and Docent (2013). Her academic foundation includes a PhD (2012) and Master's degree from the University of Niš's Faculty of Science and Mathematics. Her research focuses on Numerical Analysis and Computational Mathematics , specializing in root-finding algorithms for nonlinear equations and polynomial zero approximation. Key contributions include developing optimal multipoint iterative methods, transformations for root-solvers, and efficient inclusion techniques for polynomial zeros. Her work emphasizes computational efficiency, convergence acceleration, and numerical stability. Analysis of her publications reveals strong trends in iterative method optimization (2012-2018), with increasing focus on methods with memory and simultaneous approximation techniques. Her research bridges theoretical numerical analysis with practical computational applications, particularly in engineering contexts. She serves as a reviewer for top-tier journals including Applied Mathematics and Computation and Journal of Computational and Applied Mathematics , and as a monograph reviewer for Elsevier. She is an active member of professional societies: American Mathematical Society (AMS), Society for Industrial and Applied Mathematics (SIAM), and IEEE. Dr. Џунић led a Ministry-funded project (2018) innovating applied mathematics curricula aligned with ICT trends. She has presented at international conferences including Computational Methods in Applied Mathematics (Berlin, 2012) and the Serbian Mathematical Congress (2018).

• Parallel Computing
• High-Performance Computing
• Computer Architecture
• +3 more

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.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +3 more

Timea Bezdan is a researcher at Singidunum University, specializing in artificial intelligence, machine learning, and optimization algorithms. She holds a doctoral degree in Advanced Protection Systems (2021-2024) from Singidunum University, following master's degrees in Contemporary Information Technologies (2020-2021) and bachelor's degrees in Software and Data Engineering (2017-2020) and Marketing and Management (2013-2017). Her research focuses on applying AI to environmental science, healthcare, and computational efficiency, with notable work on air pollution modeling, disease detection, and algorithm optimization. Key research interests include neural network architecture design, hybrid metaheuristic approaches, and bias mitigation in AI systems. Recent projects address demographic bias in age estimation models and energy-efficient cloud-edge computing. Her work spans interdisciplinary collaborations, integrating machine learning with environmental monitoring and medical diagnostics. Education: Doctoral studies: Advanced Protection Systems, Singidunum University (2021–2024) Master's: Contemporary Information Technologies, Singidunum University (2020–2021) Bachelor's: Software and Data Engineering, Singidunum University (2017–2020) Bachelor's: Marketing and Management, Singidunum University (2013–2017) Publications highlight contributions to AI-driven environmental analysis, healthcare applications (e.g., Parkinson’s disease detection), and optimization techniques for neural networks. Her work often combines metaheuristic algorithms like firefly, bat, and particle swarm optimization with machine learning frameworks. Research groups and collaborations include Singidunum University’s Institute for Applied AI, with active participation in international conferences such as IEEE Symposia and Sinteza. Ongoing projects focus on explainable AI for emotion recognition and AI-based crisis analysis of environmental pollutants.

• Numerical Analysis
• Iterative Methods
• Nonlinear Equations
• +4 more

Jovana S. Dzunić is an Associate Professor in the Department of Mathematics at the Faculty of Electronics, University of Niš, Serbia. She has been actively contributing to the field of numerical analysis and computational mathematics since earning her PhD in 2012. Education: Doctorate in Mathematics, Faculty of Natural Sciences and Mathematics, University of Niš (2012) Master's and Graduate Degree in Mathematics, Faculty of Natural Sciences and Mathematics, University of Niš (2001) Her research focuses on numerical methods for solving nonlinear equations , iterative algorithms , and polynomial root-finding . She specializes in developing and analyzing multipoint methods, including those with memory and optimal efficiency. Her work often involves Hermite interpolation, matrix methods, and convergence analysis. The recent publications highlight a consistent focus on iterative root-solvers , simultaneous methods for polynomial zeros , and efficiency optimization in numerical algorithms. These works span journals in applied mathematics, computational mathematics, and numerical analysis, reflecting strong theoretical and computational rigor. Scientific Service and Recognition: Reviewer for top journals: Applied Mathematics and Computation , Journal of Computational and Applied Mathematics , Calcolo , Applicable Analysis and Discrete Mathematics , and Mathematical Reviews Reviewer for Elsevier scientific monographs Active participant in international conferences including the European Congress on Numerical Mathematics and Computational Methods in Applied Mathematics Professional Memberships: American Mathematical Society (AMS) Society for Industrial and Applied Mathematics (SIAM) IEEE Mathematical Association of America (MAA) European Mathematical Society (EMS) She led a nationally funded project in 2018 titled Innovation of a group of subjects in applied mathematics in accordance with trends in information and communication technologies , supported by the Ministry of Education, Science and Technological Development of Serbia. She has published 25 papers in journals with impact factors and contributed significantly to the advancement of numerical iterative methods. She is actively involved in academic service, research, and curriculum development, and continues to be a key contributor in her field.

• Manufacturing Engineering
• Materials Processing
• Fuzzy Logic Applications
• +3 more

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.

• Applied Mechanics
• Structural Analysis
• Fatigue Analysis
• +6 more

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.