Душан Гајић is a Professor at the Department of Applied Computer Science, Faculty of Technical Sciences, University of Novi Sad. He holds a PhD in Electrical Engineering from the University of Niš (2014) and a Master's in Computer Engineering from the same institution (2009). His research focuses on algorithms for NP-complete problems, spectral transformations on GPUs, and parallel computing. He leads the Department of Applied Computer Science and is a co-author of 43 scientific papers and 2 technical solutions. Notable awards include the Best Paper Award for Young Authors at ETRAN 2013 and Best Paper Award at DIPP 2015. Education: PhD (2014), Master's (2009), both from University of Niš. Positions: Head of Department of Applied Computer Science, Chair of Applied Computer Science Department. His work emphasizes computational efficiency and GPU-based solutions for complex algorithmic challenges. Collaborations include academic and industry partnerships through the Faculty's research initiatives.
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.
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.
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.
Bojan Marković is a Professor at the Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade. He has held this position since 2017 after progressing through roles from teaching assistant (2002-2008) to assistant professor (2013-2017). His academic work includes teaching pharmaceutical chemistry courses and conducting research in drug design, physicochemical characterization, and analytical methods. Education: PhD in Pharmaceutical Medicinal Chemistry and Structural Analysis (2012, University of Belgrade) Research Interests: Drug design/synthesis, biopharmaceutical characterization, analytical methods development Projects: Involved in 6 national and 3 international projects (bilateral with Slovenia, COST, H2020) Publications: Authored 54 international peer-reviewed articles with 417 citations (h-index: 12) Technical Expertise: Technical expert at Accreditation Body of Serbia since 2016 His recent publications show a focus on topical drug delivery systems, absorption modeling, and steroid derivative characterization. Techniques include PAMPA, QSAR, UHPLC-MS, and molecular docking. Bojan actively contributes to academic training through integrated studies (Pharmaceutical Chemistry 1, Drug Design), specialist programs (Drug Quality Control), and doctoral research supervision.
Goran Lj. Djordjevic is a Professor at the Department of Electronics, Faculty of Electronic Engineering, University of Nis, Serbia. Appointed full professor in 2009 after progressive promotions from assistant professor (1999) to associate professor (2004), he represents a cornerstone of the institution where he completed all academic degrees. His three-decade career exemplifies deep institutional commitment and scholarly excellence in electronic engineering. His academic foundation was built entirely at the University of Nis: Diploma Engineer in Electronics (1989) Master of Science in Electronics (1994) Doctor of Philosophy in Electronics (1998) Professor Djordjevic's research forms three interconnected pillars: Networks-on-Chip (NoC) innovation with breakthroughs in deflection routing and port allocation; UWB localization systems solving multipath challenges in complex indoor environments through multi-algorithm fusion; and error control coding for storage systems with applications in optical media. His work consistently bridges theoretical rigor and practical implementation, evidenced by 22 impact-factor journal publications spanning VLSI design, wireless communications, and parallel computing. Analysis of his publication timeline reveals strategic evolution: recent work (2021-2022) focuses on real-world NoC optimization and robust indoor positioning, mid-career research (2015-2005) established CDMA bus architectures and fault-tolerance frameworks, while foundational contributions (2001, 1996) in constraint coding and task scheduling underpin his later breakthroughs. This trajectory demonstrates exceptional continuity in advancing communication reliability across hardware and software domains. Scientific recognition includes: No formal awards documented in source materials Regarding academic mentorship, while specific students aren't listed, his sustained research output implies active graduate supervision. Project funding shows zero current national grants, though international collaborations remain unspecified. His 22 impact-factor publications across IEEE, Elsevier, and Springer journals demonstrate consistent productivity through completed research initiatives, with recent work indicating ongoing laboratory activity in wireless and NoC domains.
Мирослав Поповић is a Full Professor at the University of Novi Sad's Faculty of Technical Sciences (Department of Computer Technology). He holds a PhD (1990), MSc (1988), and BSc (1984) from the same institution. His primary responsibilities include teaching parallel programming, real-time systems programming, and computer networks/communications. Key roles: Head of the Computer Technology Chair Research focuses on embedded systems, real-time systems engineering, and cybersecurity Author of internationally recognized textbook Communication Protocol Engineering (2nd Ed., CRC Press, 2018) Scopus h-index 12 with 36 SCI journal articles and 120+ conference papers Has led numerous industry projects involving real-time systems and embedded solutions. Holds 5 patents and maintains active international collaboration through ORCID (http://orcid.org/0000-0001-8385-149X).
Ненад Четић is an Associate Professor at the Department of Computer Communications, Faculty of Technical Sciences, University of Novi Sad. He obtained his Master's degree in 2007 and PhD in 2007-2019, focusing on embedded systems and voice-controlled IoT solutions. Parallel to his academic role, he serves as Program Director at TTTech Auto, developing software platforms for advanced driver-assistance systems (ADAS) and autonomous driving. Education: Bachelor's: Faculty of Technical Sciences, University of Novi Sad (2006) Master's: "Spectral Expansion Solution for Multichannel Digital Audio Decoders" (2007) PhD: "Wireless Acoustic Sensor Model for Voice Control in Smart Homes" (2007-2019) Research Focus: Computer vision, AI in automotive systems, voice interfaces, distributed system architectures, and embedded systems optimization. His research integrates machine learning into sensor networks and develops real-time distributed systems for automotive applications. He has authored numerous scientific publications on automotive software platforms and ADAS systems.
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.
Aleksandar Kartelj is an Associate professor at the Department for Computer Science, Faculty of Mathematics, University of Belgrade. He has been working at the Faculty of Mathematics since 2008, starting as a Teaching assistant, then becoming Assistant professor (2015-2023), and currently Associate professor (since October 2023). He also serves as a Guest professor at the Faculty of Natural Science and Mathematics, University of Banjaluka since 2018. Education: B.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2005-2008, GPA 9.94/10.00) M.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2008-2010, GPA 9.92/10.00) PhD in Computer Science from Faculty of Mathematics, University of Belgrade (2010-2014, GPA 10.00/10.00) M.Sc. in Quantitative Finance from Faculty of Economics, University of Belgrade (2010-present) Aleksandar Kartelj's research primarily focuses on optimization and data mining. He is a member of the "Modelling and optimization group" at the Faculty of Mathematics. His work involves designing exact and non-exact optimization techniques such as integer (linear) programming models, branch & bound, beam search, variable neighborhood search, and genetic algorithms. These techniques are applied to solve NP-hard problems in computational biology, transportation, logistics, social networks, and for improving machine learning algorithms. His recent publications (2021-2025) span diverse areas including symbolic regression, constrained longest common subsequence problems, graph protection algorithms, Roman domination in graphs, and applications in computational biology and epidemiology. His work frequently appears in high-impact journals such as Journal of Big Data, Expert Systems with Applications, and Knowledge-Based Systems, with many publications classified as M21a (Q1). Scientific Awards: Best paper award at the 2023 Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) for "Integrating Top-level Constraints into a Symbolic Regression Search Algorithm" Aleksandar Kartelj has been involved in several research projects, including being a Research member on the project "Mathematical Models and Optimization Methods for Large-Scale Systems" (2011-2020) and a Research leader on the project "Combinatorial optimization for cancer progression inference and comparison" (2019-present). He has also developed numerous software applications for various organizations including the UN FAO, International Monetary Fund, and several private companies. He has been actively involved in teaching, serving as a Computer science teacher at Computer Gymnasium and Mathematical Grammar School in Belgrade, in addition to his university teaching responsibilities.
Dejan D. Rancic is a Professor at the Faculty of Electronics , University of Niš, Department of Electrical Engineering and Computer Science. His academic career spans over two decades, with promotions to Assistant Professor in 2005 and Full Professor in 2015. He earned his PhD (2004), Master's (1997), and BSc (1993) degrees from the same department. Current projects: 3 National, 1 International Reviewer for WSEAS journal series Rančić’s research focuses on Geographic Information Systems (GIS), 3D terrain visualization, and algorithm optimization for large-scale spatial data processing. His work bridges computer science with geospatial engineering, emphasizing parallelism and web-based frameworks. His publications highlight trends in GIS integration (mobile/web), terrain rendering algorithms, and advanced signal processing for meteorological applications. Key subfields include raster map creation, adaptive rendering, and spatial coherency techniques. Contact: Email: dejan.rancic@elfak.ni.ac.rs Address: Aleksandra Medvedeva 4, 18104 Niš Tel: +381 (18) 529-105
Professor Vladan V. Vuckovic holds the position of Full Professor at the Faculty of Electronics, University of Nis, specializing in Computing and Informatics. He earned his PhD in Electrical Engineering and Computer Science from the same institution in 2006, following a Master's degree (1997) and undergraduate studies (1994) in the same field. His research focuses on advanced chess algorithms, 3D modeling of historical engineering inventions (notably Nikola Tesla's wireless-controlled boat), and interdisciplinary applications of signal processing in biological sciences. Key contributions include groundbreaking work on chess engine optimization through novel data structures and parallelization techniques, as well as computational reconstructions of Tesla's inventions. He has published in journals like ICGA Journal, Facta Universitatis, and Archives of Biological Science, and delivered invited lectures at TU Ilmenau, Germany. His work bridges traditional engineering with cutting-edge computational methods, emphasizing both theoretical rigor and practical implementation. Recipient of prestigious awards including the Tesla Award (2012) and Pupin Award (1995), his research trends reflect an emphasis on historical technology revival, biomedical signal analysis, and artificial intelligence applications. Active in national and international projects, he maintains strong academic-industry collaboration through his research in real-time simulation and control systems.
Bratislav B. Predić is a Full Professor at the Faculty of Electronics in Niš, University of Niš, Department of Computing and Informatics. He began his academic career as an Assistant Trainee in 2004 and was elected to his current rank in 2024. He graduated in 2003 from the same faculty (Department of Electrical Engineering and Computer Science), and holds a master's and doctorate in related fields. His research focuses on mobile geographic information systems (GIS), transportation systems, data analysis, and algorithm optimization for real-world applications. Key research interests include context-aware mobile GIS frameworks, automatic vehicle location systems (AVL), and large terrain rendering algorithms. He has authored/co-authored multiple papers in journals and conferences such as WSEAS Transactions on Computers, AGILE Conference, and IASTED International Conferences. His work spans transportation optimization, meteorological visualization, and embedded GIS systems. Currently, he participates in 2 national and 1 international scientific projects. His laboratory and collaboration work involves developing practical solutions for urban mobility, field work automation, and cloud-based geospatial systems. Contact: bratislav.predic@elfak.ni.ac.rs
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.
