جست‌وجوی استاد و پژوهشگر

Svetlana Stanišićمشاهده پروفایل

دانشیار

• Environmental Science
• Air Pollution Modeling
• Artificial Intelligence Applications
• +۷ مورد دیگر

Svetlana Stanišić is an Associate Professor at Singidunum University's Faculty of Informatics and Computer Science, Department of Applied Artificial Intelligence. She holds a dental degree from the University of Belgrade's Dental Faculty (1998-2004) and a PhD in Physical Chemistry from the University of Belgrade's Faculty of Physical Chemistry (2007-2011). Her interdisciplinary research bridges environmental science, artificial intelligence, and public health. Her research interests focus on environmental science, air pollution modeling, and artificial intelligence applications . She investigates the atmospheric fate of pollutants using advanced machine learning techniques, with particular emphasis on polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), and particulate matter. Her work combines environmental chemistry, computational modeling, and public health impact assessment to address urban air quality challenges. Analysis of her recent publications reveals a clear trend toward explainable AI applications in environmental science . She has pioneered the use of SHAP (SHapley Additive exPlanations), XGBoost, and metaheuristic optimization for pollutant fate prediction and source apportionment. Her research spans indoor and outdoor environments, with particular attention to health implications of air pollution exposure in urban settings like Belgrade. Dr. Stanišić leads significant research projects including "crAIRsis" (2024-2026) , which characterizes crisis-caused air pollution alternations using AI frameworks, and "ATLAS" , focusing on artificial intelligence theoretical foundations for spatio-temporal modeling. She has also authored influential books including "Ako je hrana Vaš porok" (2024) and "Ishrana i zdravlje" (2018). Her research group focuses on environmental informatics , developing computational tools to understand pollutant behavior in complex urban environments. The team combines atmospheric chemistry measurements with advanced machine learning techniques to create predictive models with practical applications for urban air quality management and public health protection.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +۴ مورد دیگر

Nebojša Bačanin Džakula is an academic affiliated with Singidunum University's Faculty of Mathematics, specializing in Computer Science. He earned his PhD in 2015 with a thesis on improving swarm intelligence metaheuristics for global optimization. His research focuses on AI-driven solutions for cybersecurity, energy forecasting, and optimization algorithms. He has authored/co-authored books on cloud computing and web programming. His work bridges metaheuristics with machine learning, addressing challenges in IoT security, renewable energy prediction, and healthcare diagnostics. He actively contributes to conferences like Sinteza and IEEE events, emphasizing practical applications of AI and optimization in real-world scenarios. Education: Completed doctoral studies at the Faculty of Mathematics (2009–2015). Extensive industry certifications include Microsoft, CompTIA, and Oracle credentials, enhancing his technical expertise. Research Interests: Develops hybrid models combining metaheuristics (e.g., PSO, GA) with deep learning for tasks like intrusion detection, price forecasting, and medical diagnostics. Specializes in optimizing neural networks and feature selection using advanced algorithms. His work often addresses societal challenges in sustainability, cybersecurity, and healthcare. Recent Publications: Focus on AI-driven solutions for IoT security, renewable energy prediction, and medical diagnostics (e.g., Parkinson’s detection via LSTM networks). His articles appear in prestigious journals like Engineering Applications of Artificial Intelligence and Applied Soft Computing.

Aleksandar Mihajlovicمشاهده پروفایل

پژوهشگر

• Visual Communication
• Graphic Design
• Digital Marketing
• +۵ مورد دیگر

Aleksandar Mihajlovic is a researcher and Art Director at Singidunum University, Serbia. With a doctoral degree in Contemporary Business Decision-Making (2022), a master's in Business Economics (2014), and a bachelor's in Computer Graphics and Design (2008), he combines academic rigor with creative leadership in the university's marketing strategy. Doctoral studies: Contemporary Business Decision-Making, Singidunum University (2022) Master studies: Business Economics, Singidunum University (2008–2014) Undergraduate: Computer Graphics and Design, Faculty of Informatics and Management (2005–2008) High school: Robotics and Flexible Production Systems Technician, Polytechnic Academy (1995–1999) His research spans visual communication , digital marketing , and artificial intelligence applications in creative industries. Key contributions include Co-authoring 11 academic papers (2015–2025) on topics like Instagram ad effectiveness, techno-feudalism, and responsive logo design. Developing the scientific research portal 'Singipedia' and international magazine 'SingiLogos'. Participating in 7 global projects including Erasmus+ and TEMPUS initiatives. His scientific awards include the JISA Discobolos Special Award (2010), IT Globus Award (2010), and Grafima Fair Special Award (2025). He serves on the organizing committee for conferences like Sinteza and Sitcon , and has judged marketing competitions while volunteering for NGOs like the City Organization of the Deaf of Belgrade.

Zoran J. Stankovicمشاهده پروفایل

استاد

• Antenna Design and Optimization
• Direction of Arrival (DoA) Estimation
• Artificial Neural Networks in Electromagnetics
• +۷ مورد دیگر

Zoran J. Stankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, in the Department of Telecommunications. He has been an integral part of the institution since earning his PhD in 2007, progressing from Assistant to Associate Professor (2020) and Full Professor (2024). He is actively involved in research, education, and academic leadership. Education: PhD in Telecommunications, Faculty of Electronics, University of Niš (2007) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) Bachelor's in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1994) His research focuses on applying artificial neural networks to solve complex problems in electromagnetics and wireless systems. Key areas include antenna design optimization , direction-of-arrival (DoA) estimation , microwave cavity modeling , and smart textile antennas . His work bridges machine learning with electromagnetic theory, enabling efficient and adaptive RF system design. The analysis of his recent publications reveals a strong trend in using deep and hybrid neural networks for electromagnetic modeling and signal processing. His research emphasizes real-world applications such as wearable antennas, mobile source tracking, and intelligent antenna systems, often published in high-impact IEEE and Wiley journals. Scientific Awards: Commemorative Plaque from the Yugoslav Society for Microwave Techniques and Technologies (2005) for outstanding scientific results in microwave engineering Advising and Grants: While specific students are not listed, he has supervised numerous academic works. He has participated in 17 research projects (13 national, 4 international including DAAD, NATO, COST) and 8 educational development projects (including ERASMUS+, TEMPUS, WUS). These reflect sustained funding and academic collaboration. Labs and Teams: He is the founder and head of the Laboratory for Antennas and Propagation at the Faculty of Electronics, Niš. He is actively involved in organizing and leading the international conferences TELSIKS and ICEST , serving on their program and organizational committees, demonstrating strong leadership in the academic community.

Miloš Rackovićمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Databases
• +۴ مورد دیگر

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

• Environmental Chemistry
• Pollutant Transformation
• Waste Material Reusage
• +۳ مورد دیگر

Aleksandar R. Popović is a Full Professor at the University of Belgrade's Faculty of Chemistry, Department of Applied Chemistry. He holds a PhD from the same institution and has held academic positions since 1997, progressing from Teaching Assistant to Full Professor by 2013. His research focuses on environmental pollutants, waste material reuse, and atmospheric deposition, leveraging biomonitoring techniques. He has led or participated in multiple national and international research projects, including studies on soil contamination, airborne pollutants, and environmental risk assessment. Beyond academia, he served as Serbia's Minister of Science and Environmental Protection (2004–2007) and Minister of Mining and Energy (2007–2008). Education: Bachelor's in Chemistry, Faculty of Chemistry, University of Belgrade (1988–1993) Master's in Chemistry, Florida State University (1994–1996) PhD in Chemistry, Faculty of Chemistry, University of Belgrade (1996–2002) Research Projects: Active: International Cooperation - COST Actions project (2022–2026) Completed: National Fundamental Research Projects on pollutant dynamics and soil contamination Committee Roles: Chairman of the Committee for Recognition of Foreign Higher Education Documents (2021–2024) Member of the Committee for Education Strategy His research interests emphasize chemical transformations of pollutants, waste material repurposing, and environmental chemistry. Notable work includes studies on PAHs in food products, trace metal speciation in sediments, and bioindicator applications using moss. His recent publications (2021–2025) address environmental pollution impacts on ecosystems, human health risks, and innovative remediation techniques. Grants and collaborations include funding from the European Commission and Serbian and Slovak governmental bodies. His interdisciplinary approach bridges analytical chemistry, environmental science, and policy, reflecting his dual academic and governmental experience.

Sandra M. Đosićمشاهده پروفایل

دانشیار

• Electronics
• Real-Time Systems
• Fault-Tolerant Systems
• +۷ مورد دیگر

Sandra M. Đosić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, Serbia, specializing in Electronics and Embedded Systems. She has been actively contributing to research in real-time systems, fault tolerance, wireless sensor networks, and indoor localization technologies. Research Interests: Her work spans fault-tolerant real-time systems, energy-efficient computing, UWB-based indoor localization, and communication protocols for wireless sensor networks. She explores techniques such as dynamic voltage and frequency scaling (DVFS), tone-based contention resolution, and deflection routing in networks-on-chip to enhance system reliability and efficiency. Publication Trends: Her recent publications (2009–2022) demonstrate a strong focus on improving robustness and performance in embedded and distributed systems. The research integrates signal processing, network optimization, and energy-aware design, primarily applied in industrial and indoor environments. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students are listed, she is currently participating in two national research projects, indicating active involvement in funded research. Her collaborations with researchers such as Igor Stojanovic and Milica Jovanovic suggest a strong team-based research approach. Labs and Research Teams: Although no formal lab or team name is specified, her repeated co-authorship with colleagues from the Faculty of Electronics implies active participation in a research group focused on electronics, communications, and real-time systems.

• Computer Science
• Applied Computer Science
• Informatics
• +۳ مورد دیگر

Славица Кордић is an Associate Professor at the Department of Applied Computer Science, Faculty of Technical Sciences, University of Novi Sad. She has been employed at the institution since 1998 and holds the academic rank of ванредни професор. Her teaching responsibilities include multiple courses in undergraduate and master's programs related to computer science and informatics. She received her B.Sc. in Electrical Engineering (1998), M.Sc. in Technical Sciences (2006), and Ph.D. in Technical Sciences (2013), all from the Faculty of Technical Sciences, University of Novi Sad. Her research and professional focus lies in applied computer science and informatics, with contributions to the field through academic teaching and scholarly activities. She has been actively involved in the academic community at the Faculty of Technical Sciences, where she continues her role as a faculty member.

• Environmental Science
• Sustainable Development
• Ecological Conservation
• +۳ مورد دیگر

Vuk Gajić is an Assistant Professor at the Faculty of Applied Ecology, Singidunum University, where he has held academic roles since 2016. His career progression includes positions as a teaching associate (2016), assistant (2019), and current role (2023). He earned a Ph.D. in Environment and Sustainable Development from Singidunum University (2019–2022), following prior studies in environmental protection and risk management at the same institution. Research interests span environmental science, sustainable development, GIS applications, and radiation technology for waste and food treatment. He has contributed to interdisciplinary studies, including soil contamination analysis in Libya, microbial decontamination via ionizing radiation, and machine learning applications for software defect prediction and agricultural weed detection. His work bridges environmental engineering with technological innovation, emphasizing sustainability and ecological conservation. Publications reflect a focus on environmental monitoring, pollution assessment, and eco-technologies. Key themes include GIS-based environmental databases, forest fire prevention through sensor networks, and agricultural waste reuse. His research often integrates quantitative methods with geospatial tools, addressing both local and global environmental challenges. Teaching responsibilities include courses on geodiversity, sustainable development, and natural hazards. He actively participates in academic conferences, contributing to peer-reviewed journals and presenting at events like Sinteza and SETI. Current projects likely explore emerging technologies in environmental management and sustainable practices.

• Marketing
• Digital Marketing
• Advertising
• +۵ مورد دیگر

Jelena Gajic is a Professor at the University of Singidunum in Belgrade, Serbia, where she serves in the Faculty of Business within the Department of Marketing. With a comprehensive academic background and extensive publication record, she has established herself as a leading scholar in marketing, advertising, and consumer behavior fields. Doctoral studies at Singidunum University, Belgrade (2008-2011) Master's studies in International Marketing at Faculty of Economics, University of Belgrade (2001-2004) Basic studies in Marketing at Faculty of Economics, University of Belgrade (1992-1997) Cultural and Linguistic studies at XIII Belgrade High School (1988-1992) Professor Gajic's research spans multiple marketing domains with particular emphasis on digital transformation in marketing practices. Her work bridges traditional marketing theories with contemporary digital applications, examining how technologies like AI and neuromarketing are reshaping marketing strategies. She has made significant contributions to understanding social media marketing effectiveness, advertising in digital environments, consumer behavior in tourism contexts, and marketing challenges in higher education institutions. Her research methodology often combines theoretical frameworks with empirical testing, including A/B testing and advanced analytical approaches. Her recent publications demonstrate a clear trajectory toward technology-integrated marketing research. There's a strong emphasis on digital marketing channels, particularly social media platforms like Instagram, and their effectiveness across various contexts including higher education, tourism, and creative industries. Her work increasingly incorporates advanced analytical methods, including AI applications and neuromarketing research, to understand consumer responses. The pandemic's impact on travel behavior and digital communication strategies has also been a significant focus of her recent research, reflecting her ability to address contemporary challenges in marketing. While specific awards aren't documented in the available information, her substantial publication record in reputable journals such as The European Journal of Applied Economics, TEME - Journal of Social Sciences, and others indicates professional recognition within her academic community. Though specific advisees aren't listed in the available information, Professor Gajic's extensive publication record, particularly her work on student perspectives in higher education, suggests active involvement in mentoring and supervising student research. Her leadership in organizing conferences like Sinteza and FINIZ indicates significant contributions to academic community building. Her research on digital marketing, tourism, and consumer behavior has likely been supported by various institutional grants, though specific funding sources aren't detailed in the available information.

Biljana Radičićمشاهده پروفایل

پژوهشگر

• Linear Algebra
• Matrix Theory
• Applied Mathematics
• +۳ مورد دیگر

Biljana Radičić is a faculty member at Singidunum University with a focus on mathematics and quantitative methods. She earned her doctorate in 2016 from the Faculty of Mathematics, University of Belgrade, and has authored two books: Mathematics Practice (2021) and Practicum in Quantitative Methods (2023). Education Faculty of Mathematics, University of Belgrade (Doctoral Dissertation, 2016) Faculty of Mathematics, University of Belgrade (Master's Studies, 2010) Faculty of Mathematics, University of Belgrade (Basic Studies, 1998–2004) IX Gymnasium 'Mihailo Petrović Alas' (Secondary School, 1994–1998) Research Interests center on matrix theory, circulant matrices, and number sequences like Fibonacci, Lucas, Pell, and Jacobsthal numbers. Her work bridges theoretical mathematics with applications in linear algebra and coding theory. Publications include studies on geometric circulant matrices, matrix inverses, and quasi-cyclic codes. Her recent research (2025–2018) explores patterns in k-circulant matrices with special sequences, contributing to linear algebra and coding theory. Collaborations with mathematicians like Branko Malešević highlight her interest in matrix equations and reproducibility. No scientific awards or grants are mentioned in the provided texts.

Miloš Mravikمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +۳ مورد دیگر

Miloš Mravik is an academic affiliated with Singidunum University's Faculty of Informatics and Computing, specializing in research involving artificial intelligence, cybersecurity, and data science. He holds a doctoral degree in 'Advanced Protection Systems' from Singidunum University (2020–2023), preceded by a Master’s in 'Contemporary Information Technologies' (2018–2019) and a Bachelor’s in 'Informatics and Computing' (2014–2018). His work emphasizes applying machine learning techniques to real-world challenges like healthcare diagnostics, cybersecurity frameworks, and pandemic-era education systems. Research Interests: AI-driven cybersecurity solutions for IoT and blockchain Machine learning applications in health informatics Optimization of predictive algorithms using metaheuristics E-learning strategies during crises Recent articles focus on explainable AI for metaverse security, sentiment analysis using BERT models, and blockchain node detection via XGBoost. His work bridges theoretical computer science with practical applications in emergency education and pandemic response. No scientific awards listed. Advised no formally registered students. Active in conference organizing and software prototyping, as seen in projects like a scheduling web application and network management systems.

• Artificial Intelligence
• Neural Networks
• Image Processing
• +۳ مورد دیگر

Petar Biševac is a Lecturer at the Faculty of Informatics and Computing within Singidunum University , Belgrade. His academic work focuses on applied artificial intelligence and machine learning. Education : Not explicitly detailed in available texts. Research Interests : Spanning Artificial Intelligence , Neural Networks , Image Processing , and Metaheuristic Optimization , his research emphasizes hybrid AI systems for biomedical signal processing, cryptocurrency forecasting, and image analysis. Publications : Recent works include anomaly detection in ECG/EEG signals, vehicle damage recognition, and Ethereum price forecasting using LSTM and metaheuristic algorithms. Collaborations : Frequently works with researchers like Nebojsa Bacanin, Milan Zivkovic, and Predrag Spalević. Contact : Email pbisevac@singidunum.ac.rs

• Fluid Dynamics
• Thermodynamics
• Applied Mathematics
• +۵ مورد دیگر

Dr. Srboljub Simić is a full professor at the University of Novi Sad's Faculty of Science, Department of Mathematics and Informatics. His research focuses on applied analysis, particularly in fluid dynamics, thermodynamics, and mathematical physics. He specializes in multi-component gas mixtures, shock wave propagation, and non-equilibrium systems, with contributions to extended thermodynamics and kinetic models. His work bridges theoretical analysis and computational methods, addressing challenges in capillary phenomena, diffusion processes, and hyperbolic systems. Recent research emphasizes multi-temperature models for polyatomic gases and the mathematical treatment of shock structures. His articles explore entropy production, energy methods for Boltzmann equations, and numerical studies of diffusion in complex mixtures. These contributions advance understanding of rarefied gases and non-equilibrium flows, often employing advanced analytical techniques like the maximum entropy principle and asymptotic analysis. No scientific awards or grants are explicitly mentioned in the provided texts. Dr. Simić has not listed formal advisees, though his teaching includes courses like Mathematical Foundations of Economics and English language training for students. His professional activities include organizing academic events like the 7th International Congress of Serbian Society of Mechanics. Research collaborations and affiliations are centered within the university's mathematics and informatics department, with international involvement in fields like computational fluid dynamics and thermodynamic systems analysis.

Dragan D. Mancicمشاهده پروفایل

استاد

• Electronics
• Power Electronics
• Ultrasonic Transducers
• +۱۲ مورد دیگر

Dragan D. Mancic is a full professor at the Faculty of Electronics, University of Niš, Serbia, where he has been actively contributing since earning his PhD in 2002. He holds a permanent academic position in the Department of Electronics and continues to engage in national research projects and scientific publications. Research Interests: His work spans electronics, power electronics, ultrasonic transducers, piezoceramics, impedance spectroscopy, and thermal modeling. He applies these to areas such as renewable energy systems, friction stir welding, and ceramic material characterization. His interdisciplinary focus bridges electrical engineering, materials science, and applied physics. The recent publications highlight consistent research in transducer design, thermal analysis in manufacturing, and electrical characterization of doped ceramics. These works reflect a strong trend toward modeling, simulation, and experimental validation in both biomedical and industrial applications. Scientific Projects: EE-273023B: Development of solar radiation receivers TR-33035: Grid-connected rotating photovoltaic system III-43014: Remote sensing and environmental monitoring Dr. Mancic has co-authored three monographs and has 15 publications in journals with impact factors. He advises students and researchers through collaborative projects and academic supervision, though specific advisees are not listed. He is actively involved in scientific research management under the Ministry of Science. Labs and Research Teams: He collaborates within research groups focused on power electronics, ultrasonic systems, and advanced materials at the Faculty of Electronics in Niš, contributing to both theoretical and applied engineering solutions.