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.
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 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.
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.
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.
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.
Nebojša Mudrinski is a Full Professor specializing in Algebra and Theoretical Computer Science. His research focuses on advanced algebraic structures, including semigroups, semirings, Mal’cev algebras, and commutator theory. He explores nilpotence, polynomial completeness, and Ramsey properties in abstract algebraic systems. His work integrates theoretical computer science with algebraic methods, particularly in analyzing complex algebraic operations and their structural properties. Research interests include commutator theory, supernilpotent structures, and the interplay between algebraic systems and computational complexity. His articles address topics like higher commutators in semigroups, dual Ramsey properties in lattices, and finite generation of congruence-preserving functions. Though no specific university affiliation is explicitly stated in the provided text, his academic position suggests an institutional affiliation in the field of mathematics or computer science. Publications from 2025 to 2013 indicate ongoing contributions to algebraic classification, commutator analysis, and lattice theory. No scientific awards or grants are mentioned in the text. He has not listed advisees or students in the provided materials.
Dr. Ivana Pajić-Lijaković serves as a Research Professor at the Department of Chemical Engineering, Faculty of Technology and Metallurgy, University of Belgrade, with continuous academic engagement since 1989. Her work bridges biochemical engineering and biotechnology through advanced computational modeling of cellular systems. Her research focuses on: Modeling and optimization of bioprocesses in biotechnology, biomedical engineering, and food production Rheological characterization of bio-composites (polymer matrices with colloidal particles and immobilized cells) Phase boundary effects in cellular environments Mechanics of erythrocyte membranes under osmotic/thermal stress Analysis of her 2015-2018 publications reveals a cohesive research trajectory centered on multi-scale modeling of cell-membrane interactions, with emphasis on erythrocyte deformation dynamics and immobilized cell systems in bioreactors. This work has direct applications in drug delivery systems (e.g., alginate-based encapsulation) and food engineering. Scientific recognition includes: Top-20 paper designation in its field for 2010 (BioMedLib analysis) Dr. Pajić-Lijaković has secured sustained funding through national and international projects, including: Ministry of Education, Science and Technological Development projects since 1989 ("Bioreactors and processes of new biotechnology" 1989-2000; "Interaction of biologically active molecules and immobilized cultures" 2000-2005) International Hemiron Eureka Project E4486 (2008-2010) Ongoing projects III 6001 ("Create wealth from Serbia's wealth") and III 6010 (enzymatic food technologies) She contributes to academic service as Subject Editor for FACET (Canadian Science Publishing) and maintains active membership in the Serbian Chemical Society and Society of Physical Chemists of Serbia, operating within the Department of Chemical Engineering's research infrastructure at TMF.
Natalia M. Stojanović is a Professor in the Department of Computing and Informatics at the University of Niš's Faculty of Electronics. She earned her doctorate in Electrical Engineering and Computer Science from the same institution in 2003. Her research centers on parallel computing architectures, particularly systolic arrays for matrix operations, with emphasis on fault-tolerant system design. Key research areas include: parallel algorithms for matrix computations, fault-tolerant systolic array implementations, and educational tools for parallel processing. Her work develops efficient hardware-oriented solutions for matrix-vector and matrix-matrix operations. Publications demonstrate consistent focus on optimizing systolic array designs for reliability and performance. Recent educational initiatives explore pedagogical frameworks for parallel computing instruction.
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.
Avi Wigderson is the Herbert H. Maass Professor at the School of Mathematics, Institute for Advanced Study, Princeton, where he leads research in theoretical computer science and discrete mathematics. He organizes the CSDM (Computer Science and Discrete Mathematics) program at IAS, fostering interdisciplinary research and collaboration. Research Interests: His primary research areas include randomness and pseudorandomness, computational complexity, circuit and proof complexity, quantum computation, cryptography, and distributed computing. His work bridges computer science and pure mathematics, particularly through algebra, analysis, and combinatorics. He has pioneered foundational results in derandomization, lower bounds, and the interplay between computation and mathematical structures. The recent publications highlight his continued leadership in advancing algebraic and analytic techniques in complexity theory. Themes include operator scaling, invariant theory, expander graphs, arithmetic circuits, and the asymptotic analysis of tensors and matrix spaces. These works often unify computational problems with deep mathematical frameworks, demonstrating the power of interdisciplinary approaches. Scientific Awards: Edsger W. Dijkstra Prize in Distributed Computing (2023) for the paper 'Completeness Theorems for Non-cryptographic Fault-tolerant Distributed Computing' Advising and Grants: Wigderson has advised numerous PhD students, primarily at the Hebrew University and Princeton, and hosted over 50 postdoctoral researchers at IAS, including many who have become leading figures in theoretical computer science. While specific grants are not listed, his sustained productivity and influence suggest long-term funding from major sources such as the NSF, Simons Foundation, or IAS internal support. Labs and Teams: He leads the CSDM (Computer Science and Discrete Mathematics) group at the Institute for Advanced Study, organizing seminars, workshops, and collaborative research initiatives that bring together mathematicians and computer scientists from around the world.
Ilija Pantelić serves as a Research Fellow at the Faculty of Biology, University of Belgrade, specializing in Ecology and Environmental Protection. Appointed as Research Associate in 2023 following a Researcher Trainee position (2020-2023), he operates within the institution's research framework focusing on human-wildlife interfaces in Serbian urban landscapes. His academic qualifications include: 2019: Biologist degree from the Faculty of Biology, University of Belgrade (Biology module) 2020: Master of Ecology from the Faculty of Biology, University of Belgrade (Model ecology specialization), with thesis titled “Territoriality and movement of jackals (Canis aureus L. 1758) in the suburban zone of Belgrade” Pantelić’s research centers on golden jackal ecology in anthropogenically modified environments, particularly examining movement patterns, territorial behavior, and zoonotic disease transmission dynamics. His work bridges wildlife ecology with public health through investigations of Echinococcus and Toxoplasma gondii reservoirs in urban carnivores, utilizing telemetry and field observation methodologies to analyze spatial behavior and habitat preferences in human-dominated landscapes. His 2021-2025 publication record reveals consistent focus on golden jackal adaptation to peri-urban Serbia, with emphasis on temporal movement trends, seasonal space utilization, and parasitological implications. These studies demonstrate how anthropogenic landscapes shape carnivore behavior while creating novel pathways for zoonotic disease transmission, particularly through golden jackals’ roles as reservoirs for Echinococcus and other pathogens in Belgrade’s expanding urban matrix.
Darjan Karabašević is currently serving as the Acting Dean and Full Professor at the Faculty of Applied Management, Economics and Finance, University of Economics Academy in Novi Sad. He was elected to the position of Acting Dean on April 29, 2023, and achieved the rank of Full Professor for the narrow scientific fields of General Management and Informatics on February 22, 2023. Prior to this, he served as Vice-Dean for Research since March 1, 2018, and held positions as Associate Professor (2020) and Assistant Professor (2017) at the same institution. His educational background includes a Doctorate in Computer Science from the University of Novi Pazar (2022), another Doctorate from the Faculty of Management Zaječar, John Nesbitt University Belgrade (2016), Specialist Academic Studies from Megatrend University Belgrade (2012), and undergraduate studies at the Faculty of Management Zaječar, Megatrend University Belgrade (2009). He completed his secondary education at the Zaječar School of Economics and Trade. Professor Karabašević's research primarily focuses on multi-criteria decision-making methods, neutrosophic logic, fuzzy systems, and their applications in management and computer science. His work demonstrates a strong integration of mathematical modeling with practical business applications, particularly in personnel selection, supplier evaluation, website quality assessment, and e-commerce strategy development. He has published extensively on extensions of methods like WISP, TOPSIS, MULTIMOORA, and SWARA, often incorporating neutrosophic and fuzzy logic to handle uncertainty in decision-making processes. His publication record shows a consistent output of high-quality research, with over 200 scientific and professional papers, including more than 60 papers indexed in SCI/SSCI databases. His research has accumulated 2432 citations on Google Scholar, 863 on Web of Science, and 8 on Scopus, indicating significant impact in his fields of study. Professor Karabašević serves as the Editor-in-Chief of the Journal of Process Management and New Technologies (category M52) and is an editor for the SCI-indexed journal "Axioms" (category M22). He is a member of the editorial boards of numerous international journals including Neutrosophic Sets and Systems, International Journal of Neutrosophic Science, and Journal of Fuzzy Extension and Applications, among others. He has reviewed over 200 scientific papers for prestigious journals such as Mathematics, Applied Mathematics and Computation, Journal of Cleaner Production, and Omega. He has held significant leadership roles including being elected as Co-President and Head of the Neutrosophic Science International Association for Serbia (2018), and later becoming President of the association for Serbia (2022). He serves on the scientific committees of multiple international conferences including the International Congress on Aviation Management and conferences on Sustainable Development based on Knowledge (ERAZ). His professional activities also include serving as a reviewer for the National Body for Accreditation and Quality Assurance in Higher Education (NAT) since 2018 and previously for the Commission for Accreditation and Quality Assurance (KAPK) from 2017-2018.
