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Mladen VeinovićView profile

Professor

• Cybersecurity
• Network Security
• Data Protection
• +7 more

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

• Machine Learning
• Distributed Systems
• Sensor Networks
• +7 more

Miloš Stanković is a Professor at the Faculty of Informatics and Computing, Singidunum University. His research focuses on distributed systems, reinforcement learning, machine learning applications, and sensor networks. He has contributed significantly to areas like multi-agent systems, optimization algorithms, and cybersecurity. Recent work includes distributed sensor network calibration, adaptive consensus algorithms, and AI-driven solutions for healthcare and infrastructure monitoring. Education: Not explicitly listed in provided texts. Likely holds advanced degrees in computer science or electrical engineering based on his publications. Research Interests: His primary areas include distributed multi-agent reinforcement learning, metaheuristic optimization for machine learning models, and real-world applications of AI in healthcare, surveillance, and smart infrastructure. He explores topics like sensor fusion, fault detection in networks, and consensus-based algorithms for decentralized systems. Article Trends: Recent publications emphasize AI-driven solutions (e.g., Parkinson’s disease detection via LSTM tuning, student dropout analysis with explainable AI) and distributed algorithms for multi-agent systems. His work bridges theoretical advancements in reinforcement learning with practical applications in sensor networks and cybersecurity. Grants/Projects: Not explicitly detailed, but involvement in EU-funded projects like Sinteza and SITCON conferences suggests external funding. Labs/Teams: Likely part of Singidunum’s research groups in AI, distributed systems, and cybersecurity. Collaborates with institutions like KTH Royal Institute of Technology (via co-author K.H. Johansson) on sensor networks and control systems.

• Wireless Communications
• Signal Processing
• Neural Networks
• +3 more

Ivan Milovanović is a faculty member at Singidunum University, affiliated with the Faculty of Technical Sciences under the Department of Informatics and Computing. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2009-2015), following a master's in Contemporary Information Technologies (2008-2009) and a bachelor's in Graphic Design (2004-2008). His research focuses on wireless communications, signal processing, neural networks, and telecommunications, with an emphasis on applications such as direction-of-arrival estimation, stochastic source localization, and channel modeling. He has published extensively in journals like the International Journal of RF and Microwave Computer-Aided Engineering and presented at conferences including TELSIKS and ICEST. Education: PhD: Advanced Protection Systems, Singidunum University (2009–2015) Master's: Contemporary Information Technologies, Singidunum University (2008–2009) Bachelor's: Graphic Design, Singidunum University (2004–2008) High School: Stevan Sremac Gymnasium (2000–2004) Research Interests: His work integrates neural networks with electromagnetic systems to address challenges in wireless communications, including signal localization, noise analysis, and adaptive antenna systems. He explores hybrid models for indoor/outdoor path loss calculation and secure wireless sensor networks for critical infrastructure protection. Recent studies focus on stochastic processes in far-field environments and the design of efficient neural network architectures for real-time signal processing. Publications: Key contributions include papers on DoA estimation using hierarchical neural models, analysis of WSN-FSO systems, and performance benchmarks for DBMS engines. His research bridges theoretical advancements with practical applications in telecommunications and data systems. Labs/Teams: Active in Singidunum University's research groups focusing on telecommunications and neural network applications. Collaborates with institutions like the Faculty of Electronic Engineering in Niš and international partners such as TU Dresden and TU Ilmenau.

• Cybersecurity
• Machine Learning
• Web Development
• +3 more

Nikola Savanović is a researcher and academic at Singidunum University, specializing in cybersecurity, machine learning, and web technologies. He holds a PhD in Advanced Security Systems (2024) from Singidunum University, following a Master's in Contemporary Information Technologies (2016) and a Bachelor's in Informatics and Computing (2013), both from the same institution. He also completed high school in Computer-Aided Design at Politehnika School for New Technologies (2003-2007). His research focuses on intrusion detection systems, machine learning optimization for cybersecurity applications, and adaptive web technologies. He has contributed to educational technology through virtual learning environments and game-based learning. His mathematical work includes fixed point theory in b-metric spaces. He has authored/co-authored multiple books on web design, multimedia systems, and digital marketing. Publications highlight interdisciplinary work: hybrid CNN-XGBoost models for medical diagnostics, metaheuristic algorithms for software defect detection, and cybersecurity innovations in healthcare IoT systems. His articles span computer science, mathematics, and data science, emphasizing practical applications in education and healthcare. Despite no listed awards, his extensive publication record and teaching roles reflect significant academic contributions. He actively collaborates on university projects and advises students in informatics and computing disciplines, though no formal student list is provided.

Milan TairView profile

Researcher

• Computer Science
• Artificial Intelligence
• Web Development
• +3 more

Milan Tair is a researcher at the University of Singidunum, affiliated with the Faculty of Informatics and Computing and the Department of Postgraduate Studies . His academic work spans topics in computer science, web technologies, and optimization algorithms. Doctoral Studies : Electrical Engineering and Computing (2016–2022) Master's Studies : Contemporary Information Technologies (2012–2013) Undergraduate Studies : Programming and Design (2008–2012) His research interests focus on artificial intelligence , web development , cybersecurity , and optimization algorithms , as evidenced by his publications in journals and conference proceedings. Recent publications highlight his work on hybrid metaheuristic algorithms applied to intrusion detection, medical diagnostics, and web quality evaluation. His studies also explore adaptive web technologies, database systems, and mobile computing solutions. Milan has authored or co-authored works on topics including: Optimization of machine learning models (XGBoost tuning, swarm intelligence) Web performance and security (AES encryption, HTTP header licensing) Adaptive web formats (multi-layered image compression) Usability in multilingual web design

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

Aleksandar Petrović is a researcher and academic at Singidunum University, currently finishing his doctoral studies in Intelligent Software Engineering. He holds a B.Sc. and M.Sc. in Informatics and Computing from Singidunum University. His work focuses on artificial intelligence, machine learning, and optimization algorithms applied to cybersecurity, healthcare, and agriculture. He has published over 50 scientific papers in top-tier journals and conferences. Education : Bachelor of Science (2017-2021): Informatics and Computing, Singidunum University Master of Science (2021-2022): Software and Information Engineering, Singidunum University Doctoral Studies (2022-): Intelligent Software Engineering, Singidunum University Research Interests : Petrović specializes in metaheuristic optimization techniques for machine learning models, with applications in: Cybersecurity (e.g., intrusion detection, SQL injection prevention) Healthcare (e.g., ECG anomaly detection, Parkinson’s disease analysis) Agriculture (e.g., crop yield forecasting, weed detection) Key Research Trends : His recent work emphasizes hybrid models combining recurrent neural networks (RNNs), attention mechanisms, and evolutionary algorithms (e.g., Salp Swarm, Firefly). He frequently explores real-world challenges like renewable energy forecasting and generative adversarial networks (GANs) for synthetic data generation. Advising & Grants : Petrović collaborates on projects funded by Singidunum University and international partners, focusing on AI-driven solutions for smart cities and healthcare. His lab develops tools like Singibot (AI chatbot) and YOLOv8-based surveillance systems. Labs/Teams : Participates in the Singidunum AI Research Group, working on cross-disciplinary projects involving machine learning, robotics, and IoT security.

• Geographic Information Systems
• 3D Visualization
• Terrain Rendering
• +5 more

Дејан Д. Ранчић је редовни професор на Електронском факултету у Нишу (Универзитет у Нишу), где је изабран 2015. године након дугогодишњег рада као доцент од 2005. године. Дипломирао, магистрирао и докторирао је на истом факултету у области Електротехника и рачунарство. Његово образовање укључује: Дипломирани инжењер електротехнике и рачунарства (1993) Магистар електротехнике и рачунарства (1997) Доктор електротехнике и рачунарства (2004) Ранчићев истраживачки фокус је на ГИС технологијама , 3D визуелизацији терена и обраги радарских сигнала . Кључни доприноси укључују развој алгоритама за мобилне ГИС апликације, паралелно рендеровање великих терена и радарску обраду података за сузбијање града. Његов рад комбинује теоријску рачунарску геометрију са практичним инжењерским решењима. Анализа његових радова показује еволуцију од радарских система (1997-1999) ка иновативним ГИС решењима (2000-2006), са посебним нагласком на визуелизацију терена и мобилне платформе. Најзначајнији радови објављени су у часописима као што су Computer and Geosciences и WSEAS Transactions on Computers . Тренутно учествује у 3 национална и 1 интернационални истраживачки пројекат, а као рецензент ради за WSEAS серију часописа. Иако детаљи о менторству нису наведени, његова публикацијска активност и пројекти указују на значајну улогу у развоју геопросторних технологија у Србији.

Milos BogdanovicView profile

Associate Professor

• Computing
• Informatics
• Computer Science
• +3 more

Milos Bogdanovic is an Associate Professor at the Faculty of Electronics, University of Niš, specializing in Computing and Informatics. He is actively engaged in academic research and teaching within the Department of Computing, contributing to both undergraduate and graduate programs in electronics and information technologies. His research focuses on core areas of computing and informatics, including software development, data systems, and information processing. These interests align with the technological and scientific mission of the Faculty of Electronics, supporting innovation in digital systems and computational methods. The available publications indicate active scholarly engagement, particularly in journals with impact factors, though specific titles are not listed. His work appears to center on applied computing, suggesting relevance to engineering and information technology domains. Participation in ongoing national research projects Participation in ongoing international research projects He contributes to the academic community through research supervision and project involvement, although specific advisees are not named. His work is supported by institutional and project-based funding, reflecting integration into broader scientific networks. Milos Bogdanovic is affiliated with the research and educational infrastructure of the Faculty of Electronics, which includes specialized departments and laboratories in computing, telecommunications, and microelectronics, enabling interdisciplinary collaboration and technological advancement.

Darko PuflovicView profile

Assistant Professor

• Computing
• Informatics
• Computer Science
• +3 more

Darko Puflovic is an Assistant Professor at the Department of Computing, Faculty of Electronics, University of Niš, Serbia. He was elected to this position in 2021 within the scientific field of Computing and Informatics. His academic work is centered on computing and informatics, with research interests likely spanning software systems, digital technologies, and information processing, based on his departmental affiliation. No scientific awards, publications, or student advisement information is listed in the available text. He is actively involved in the academic functions of the Faculty of Electronics, though specific details about grants, labs, or research teams are not provided.

• Computer Engineering
• Digital Logic Design
• Signal Processing
• +3 more

Dragan S. Janković is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. His academic career spans over three decades with continuous research contributions since his doctorate in 2001. His educational background includes: Diploma in Electrical Engineering and Computing (1991) Master's in Electrical Engineering and Computing (1995) PhD in Electrical Engineering and Computing (2001) All obtained at the Faculty of Electronic Engineering, University of Niš. Professor Janković's research focuses on advanced computational methods in digital systems, with particular expertise in multi-valued logic, spectral transforms, and decision diagram techniques. His work bridges theoretical computer science with practical circuit design applications, emphasizing optimization algorithms for logic synthesis and signal processing. Current investigations involve recursive algorithm development for polarity matrices and wavelet-based circuit minimization. His publication record shows consistent contributions to high-impact journals, with research trends indicating sustained focus on computational logic structures and their engineering applications over the past 25 years. Key methodological contributions include novel tabular techniques for multi-valued logic and efficient implementations of decision diagram packages. Professor Janković actively participates in research projects with 5 national and 3 international collaborations currently underway, demonstrating ongoing engagement in the academic community.

Александар С. СтанимировићView profile

Associate Professor

• Geographic Information Systems
• Semantic Interoperability
• Ontology Mapping
• +3 more

Александар С. Станимировић serves as an Associate Professor in the Department of Computer Science at the Faculty of Electronic Engineering, University of Niš, appointed in 2024 within the field of Computer Science and Informatics. His academic foundation stems entirely from this institution, where he has maintained continuous affiliation since undergraduate studies. His educational journey includes: Bachelor's degree (Diplomirao) in Electrical Engineering and Computing (2000) Master's degree (Magistrirao) in Electrical Engineering and Computing (2006) Doctorate (Doktorirao) in Electrical Engineering and Computing (year unspecified) Research focuses intensely on Geographic Information Systems with specializations in semantic interoperability, ontology mapping, and component-based spatial frameworks. His work bridges theoretical computer science with practical applications in utility network management and emergency response systems, emphasizing data integration challenges in heterogeneous environments. Early-career publications demonstrate consistent innovation in making geospatial systems interoperable through semantic technologies. Analysis of his 2004-2007 publications reveals a cohesive trajectory: initial work established component-based GIS architectures (2004), evolving toward semantic integration solutions (2005-2006), and culminating in domain-specific implementations for power networks and disaster management (2007). This progression shows increasing sophistication in handling real-world spatial data interoperability problems while maintaining theoretical rigor in ontology engineering. He currently participates in three active research initiatives comprising two national projects and one international collaboration, indicating sustained research momentum beyond his early publication period. While project specifics aren't detailed, their existence confirms ongoing scholarly activity aligned with his GIS expertise. No formal advising relationships or laboratory leadership roles are documented in the available materials.

• Semantic Web Technologies
• Distributed Systems
• E-Learning Systems
• +3 more

Милорад Б. Тошић is a Full Professor at the Faculty of Electronic Engineering, University of Niš, specializing in Computer Science. He earned all his academic degrees (BSc 1989, MSc 1992, PhD 1998) from the same institution in Electrical Engineering and Computer Science. His research spans Semantic Web Technologies, Distributed Systems, and E-Learning Systems, with notable contributions in federated testbeds, trust-based peer assessment, and collaborative wiki tagging. His work bridges theoretical computer science with practical applications in education and embedded systems. His publication trends show consistent contributions from 1991 to 2014, with recent focus shifting from hardware design (1990s) to semantic technologies and e-learning systems (2000s-2010s), demonstrating adaptability across evolving technological domains. US Patent Application No. 09/636,552 for Internet-Enabled Embedded Device Technology validated by Motorola, Microchip, Philips, and Delphi As former Science and Technology Advisor to the Serbian Minister (2002-2003), he contributed to national science policy. His current research involves 4 national and 3 international projects totaling 7 impact-factor journal publications. His patented embedded device technology has achieved commercial validation through major global electronics firms.

Nebojša ĐorđevićView profile

Associate Professor

• Geographic Information Systems
• Web-based Systems
• Usability Evaluation
• +3 more

Docent Nebojša Đorđević serves as Associate Professor at Belgrade's Faculty of Project and Innovation Management since October 2021, teaching Informatics for the Information Systems and Software Development program. Previously appointed docent at University "Union – Nikola Tesla" (2020) and engaged at Niš's Faculty of Applied Sciences, his academic career bridges military IT leadership and higher education. Educational credentials include: Computer Technology and Informatics diploma, Military Technical Academy Zagreb (1987) Master's degree, Electronic Faculty University of Niš (2001) PhD in Web-based GIS usability evaluation, Electronic Faculty University of Niš (2016) His research integrates Geographic Information Systems, Web-based Systems, and Software Development with strong emphasis on usability engineering. Across 27 publications in journals and conferences, he explores specialized applications of geospatial technologies and information system design. No scientific awards are documented in available records. His professional trajectory features 34 years in Serbian Army IT services, culminating as Head of the IT Section in Ground Forces Command (2005-2021). Teaching activities span multiple institutions with no recorded graduate student supervision or research grants. Military IT leadership remains his primary non-academic contribution.

• Artificial Intelligence
• Fuzzy Logic
• Machine Learning
• +3 more

Djordje Obradovic is a researcher at Singidunum University with a focus on artificial intelligence, fuzzy logic, and geospatial analysis. He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Novi Sad (2011). Education: B.Sc., M.Sc., Ph.D. in Electrical Engineering and Computing, University of Novi Sad (1992–2011) His research spans machine learning, neural networks, and fuzzy systems applied to diverse domains including medical imaging, environmental monitoring, and social media analysis. Recent publications highlight his work on air quality modeling and panoramic image processing in GIS applications. Key contributions include intelligent systems for scoliosis screening using low-cost sensors and innovative approaches to big data management through fuzzy sets and graph theory. He actively participates in international conferences like ICIST and Sinteza, often collaborating with multidisciplinary teams. At Singidunum University, Obradovic contributes to postgraduate studies while developing software architectures for geospatial data processing, educational technology, and inspection management systems. Notable projects include SCORM-compatible e-learning platforms, anthropomorphic gait simulation systems, and web-based tools for topographical symbol detection.

• Control Theory
• Automotive Engineering
• Quantum Computing
• +3 more

Uroš Kalabić is a Teaching Professor at Singidunum University in Serbia. He holds a doctoral degree in Electrical and Computer Engineering from the University of Michigan (2015), a Master's degree from the same university (2011), and a Bachelor's degree in Electrical and Computer Engineering from the University of Toronto (2010). His research focuses on advanced control systems and their applications in automotive engineering, aerospace, and quantum computing. Doctoral studies: University of Michigan, Electrical and Computer Engineering (2015) Master's studies: University of Michigan, Electrical and Computer Engineering (2011) Undergraduate studies: University of Toronto, Electrical and Computer Engineering (2010) Kalabić's research interests span stochastic model predictive control , quantum optimization , autonomous traffic systems , and nonlinear control on manifolds . His work includes applications in automotive engine control, spacecraft attitude control, quantum search algorithms, and sustainable transportation schemes. He has published in top journals like AUTOMATICA and the Journal of Dynamic Systems, Measurement, and Control, focusing on control theory and its interdisciplinary applications. His publications reveal expertise in stochastic control , reinforcement learning , quantum computing , and transportation optimization . Notable contributions include constraint-separation principles in MPC, reference governors for probabilistic systems, and deep learning-based traffic management frameworks. Currently, no scientific awards or honors are documented in the provided materials. Similarly, there is no mention of student advising roles, laboratory leadership, or active research grants in the available descriptions.