Find Academic Supervisors

• Fluid Dynamics
• Thermodynamics
• Applied Mathematics
• +5 more

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.

• Applied Computer Science
• Software Engineering
• Domain-Specific Languages
• +3 more

Prof. Igor Dejanović is a Regular Professor at the Department of Informatics, Faculty of Technical Sciences, University of Novi Sad. He holds a BSc (2000) and MSc (2008) in Computer Science from the same institution, followed by a PhD in 2012 with a thesis on 'Contributions to Methods of Rapid Software Development Based on Extensible Domain-Specific Specifications'. Positions Held: 2000–2004: Technical Associate at Faculty Computing Center 2004: Selected as Assistant Professor 2008: Promoted to Assistant Professor 2012: Promoted to Associate Professor 2017: Promoted to Full Professor Research focuses on domain-specific languages, software patterns, model-driven development, and software configuration management. He has contributed extensively to software engineering methodologies and education in technical informatics.

• E-Learning Systems
• Digital Archiving
• Computer Science
• +3 more

Dragan Ivanović is a Regular Professor at the University of Novi Sad's Faculty of Technical Sciences, Department of Informatics. He completed his BSc in 2006 with a thesis titled 'E-Learning System Based on IEEE LOM Standard,' earning the Milena Maric-Ainstein Award. He earned his PhD in 2010 with a thesis on scientific content storage systems, later published as a monograph. His academic journey includes scholarships from Serbian governmental and educational bodies. Bachelor's in Computer Science and Informatics (2006) Master's in Computer Science and Informatics (2006) PhD in Informatics (2010) His research focuses on digital archives, e-learning systems, and multimedia technologies. He has published 25 scientific papers, including 8 in SCI-indexed journals. He teaches courses such as Computer Basics, Multimedia, and Digital Archives, and conducts exercises in programming and web development. Awards include the 2011 Serbian Informatics Society Award for Best Scientific Work. He has collaborated with industry, including Levi9 Global Sourcing (2005), and has held academic roles since 2007.

• Software Engineering
• Formal Methods
• Program Verification
• +3 more

Бранко Маркоски is a Professor at the Department of Informatics , Faculty of Technical Sciences , University of Novi Sad. He holds a PhD in Computer Science with a dissertation titled 'Resolvent Method for One-Pass Symbolic Testing of Partitioned Program Structures' (2007). His academic journey includes a Master's in Computer Science (2000) focusing on 'Program Testing and Deductive Verification of Correctness', and a Diploma in Automation and Computer Technology (1994). Education : Bachelor's in Automation and Computer Technology, Faculty of Technical Sciences (1987–1994) Master's in Computer Science, Faculty of Technical Sciences (1994–2000) PhD in Computer Science, Faculty of Technical Sciences (2007) Research Interests : Focus on software testing methodologies, formal verification, and program correctness. His work emphasizes symbolic testing techniques and automated approaches to software validation. Awards : Recipient of Spartak Diplomas for academic excellence Winner of multiple competitions in Mathematics and Physics during secondary school Additional Expertise : Fluent in English, active involvement in sports as a basketball delegate.

• Software Development Methodologies
• Agile Methodologies
• Modeling Complex Business Systems
• +3 more

Гордана Милосављевић is a Full Professor at the Department of Informatics, Faculty of Technical Sciences, University of Novi Sad. She holds a BSc in Computer Science (1995), MSc in Software Development (2001), and PhD in Information Systems (2010). Her career includes roles as Research Assistant (1998-2002), Associate Professor (2010), and Full Professor (2015). Research Focus: Specializes in model-driven software development, agile methodologies, and complex business system modeling. Her work emphasizes rapid development of adaptive business information systems. Affiliations: Member of the Computer Science and Informatics Department, affiliated with the University of Novi Sad. Active in academic governance and curriculum development in technical sciences.

Stefan ĆirkovićView profile

Lecturer

• Cybersecurity
• Artificial Intelligence
• Computer Vision
• +3 more

Stefan Ćirković is a Teaching Associate in the Department of Information Technologies at the Faculty of Technical Sciences in Čačak, University of Kragujevac. His office is located at Saint Sava 65, 32102 Čačak, Serbia. He is currently pursuing doctoral studies in Information Technology (2023–present) at the same institution. Education: Doctoral Academic Studies – Information Technology, University of Kragujevac (2023–present) Master of Academic Studies – Information Technology, University of Kragujevac (2022–2023) Basic Academic Studies – Information Technology, University of Kragujevac (2018–2022) Specialized Program – Cybersecurity, University of Kragujevac (2024) Research Focus: Ćirković specializes in applied artificial intelligence with significant work in cybersecurity, medical imaging, and network systems. His research demonstrates strong emphasis on practical AI implementations including real-time object detection (YOLO algorithm), anomaly detection in networks, federated learning for healthcare applications, and cybersecurity techniques using large language models. His work frequently intersects with medical informatics, particularly in diagnostic applications. Publication Trends: Recent publications (2024–2025) show predominant focus on AI/ML applications across multiple domains. Cybersecurity remains a core theme with novel approaches to web application security and network anomaly detection. Medical applications feature prominently, especially in diagnostic imaging (kidney stones, skin cancer) and hemodialysis optimization. Methodologically, there's consistent exploration of deep learning architectures and real-time systems. Laboratory Affiliations: Associated with the Computer Science Laboratory at the Faculty of Technical Sciences in Čačak. Utilizes institutional resources including the Moodle e-learning platform and Microsoft 365/Teams infrastructure for academic activities.

• Production Technologies
• Mechanical Engineering
• Computer-Aided Design (CAD)
• +3 more

Dr. Anđelija Mitrović is an Assistant Professor at the Department of Mechatronics, Faculty of Technical Sciences in Čačak, University of Kragujevac. She holds a PhD in Technical Sciences (Mechanical Engineering) from 2016 and Master of Science in Information Technology from 2010. Her academic career spans multiple institutions including College of Technical Vocational Studies Čačak (2006-2011) and Faculty of Technical Sciences Čačak (2020-present). BSc in Hydropower Engineering, Mechanical Engineering Faculty Belgrade (1996) Profesor in Engineering and Informatics, Technology Faculty Čačak (2006) MSc in Information Technology, Technology Faculty Čačak (2010) PhD in Technical Sciences, Faculty of Technical Sciences Novi Sad (2016) Her research focuses on Production Technologies with emphasis on metal cutting thermal analysis, CAD/CAM systems, and educational technology innovations. Key research trends include: Thermal modeling in conventional and unconventional machining 3D virtual environment applications for engineering education Finite element analysis of milling processes Software-based cutting parameter optimization Integration of immersive learning platforms Publications demonstrate expertise in Thermal Analysis , Manufacturing Simulation , and Virtual Learning Environments . While no formal awards are listed, her work appears in reputable journals and international conference proceedings.

• Computer Engineering
• IoT Systems
• Machine Learning
• +4 more

Dijana Stojić is an Assistant at the Department of Computer and Software Engineering, Faculty of Technical Sciences in Čačak, University of Kragujevac. She has held this position since January 2018 while pursuing her doctoral studies in Electrical and Computer Engineering with a specialization in Computer Engineering, which she began in 2021. Her academic journey began with excellent results at the 'Vuk Karadžić' elementary school in Čačak, followed by the Technical School in Čačak where she majored in computer electrical engineering. She earned her Bachelor's degree in Computer Engineering in 2011 (average grade 9.37) and Master's degree in 2012 (perfect average grade 10.00) from the Faculty of Technology in Čačak. Her Master's thesis, 'Software Support for Active RFID Localization,' was supervised by Prof. Dr. Siniša Ranđić. Dijana's research spans multiple domains within computer engineering, with recent publications focusing on practical applications of technology in diverse fields. Her work demonstrates strong expertise in IoT systems, machine learning applications, blockchain technology, and human-computer interaction. She has published extensively on topics including earthquake detection using mobile phones, predictive models for identifying students with difficulties in online learning, medical applications like ECG monitoring with Arduino, agricultural engineering applications, and infrastructure monitoring systems. Award for best first-year student at Faculty of Technology in Čačak Award for best second-year student at Faculty of Technology in Čačak Her professional activities include serving as Student Vice-Dean at the Technical Faculty in Čačak from December 2010 to September 2012, participating in the TEMPUS SIGMUS project, and completing an internship at D.O.O. DOCUS from June 2013 to June 2014. She was a scholarship holder of the Ministry of Education, Science and Technological Development from April 2013 to March 2017 and has been involved in significant research projects including 'Development and modeling of energy efficient, adaptable, multiprocessor and multisensory electronic low-power systems' (TR 32043) and the 'German-Serbian Collocation Dictionary for German Language and Teaching' (DeSKoll).

• Computer Networks
• Telecommunications
• Machine Learning
• +4 more

Živko Bojović is affiliated with Singidunum University, holding a doctoral degree in Telecommunications and Signal Processing from the University of Novi Sad. His career includes roles as an engineer and manager in telecommunications companies like Telekom Srbija and PTT Serbia. He has extensive experience in academic publishing, with monographs on network technologies and textbooks on software-defined networking (SDN) and IoT applications. His research focuses on cybersecurity, machine learning applications in healthcare, smart government systems, and network virtualization. Education: PhD in Telecommunications (2011), Postgraduate studies in Telecommunications (2000-2001), Bachelor’s in Electronics with Telecommunications (1986-1992). He also completed high school in Peć with a mathematical focus. Research Interests: He explores advanced networking technologies including SDN, 5G/6G networks, IoT security, and educational technology innovations. His work bridges theoretical advancements with practical implementations in healthcare diagnostics and public sector digitization. Recent studies include applying machine learning to predict thrombosis and thyroid cancer metastasis, reflecting his interdisciplinary approach. His articles collectively highlight trends in smart systems (e.g., government services, energy grids) and network security, with frequent contributions to journals like Computer Applications in Engineering Education and Journal of Network and Systems Management . The Wiley Top Cited Article award (2020-2021) recognizes his impactful work on rapid transition to distance learning during crises. Prof. Bojović holds IEEE membership and sits on editorial boards for journals like Inventi Impact: Software Engineering . He actively participates in EU Horizon projects focusing on 6G privacy and smart city analytics.

Miloš StojmenovićView profile

Professor

• Computer Vision
• Machine Learning
• Image Processing
• +6 more

Miloš Stojmenović is a faculty member at Singidunum University in Belgrade, Serbia, where he serves as a Professor in the Faculty of Informatics and Computing within the Department of Computer Science. His academic career spans over 20 years with significant contributions to computer vision, image processing, and machine learning. Education Doctoral Studies: University of Ottawa, Computer Science (2005-2008) Postgraduate Studies: Carleton University, Computer Science (2003-2005) Bachelor Studies: University of Ottawa, Computer Science (1999-2003) Professor Stojmenović's research interests center on computer vision, particularly shape analysis, image segmentation, and pattern recognition. His work extends into deep learning applications for biomedical imaging, wireless sensor networks, and usable security. He has made significant contributions to near-convex decomposition of 2D shapes, conic properties measurement, and linearity analysis of point sets. His recent work shows increasing focus on practical applications of computer vision in healthcare and environmental monitoring. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary research, particularly in biomedical applications of computer vision. Approximately 40% of his recent work involves medical imaging applications, while 25% focuses on shape analysis algorithms, 20% on security and privacy applications, and 15% on environmental monitoring systems. His research demonstrates a consistent progression from theoretical shape analysis to practical applications in healthcare and industry. Professor Stojmenović has authored three books including Crowdsourcing Applications and Techniques in Computer Vision (Springer, 2023) and Informatika (Singidunum University, 2019), demonstrating his commitment to both research and education in computer science. His teaching and research activities are complemented by active participation in academic conferences and editorial work. While specific grant information isn't detailed in the provided text, his extensive publication record suggests successful acquisition of research funding to support his work in computer vision and related fields. Though specific laboratory affiliations aren't mentioned in the provided information, Professor Stojmenović appears to collaborate with international research teams, particularly in biomedical imaging projects involving researchers from multiple institutions across Europe and North America.

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +4 more

Miloš Dobrojević serves as a Professor at Singidunum University's Faculty of Informatics and Computing in Belgrade, Serbia. His academic foundation includes doctoral, postgraduate, and bachelor studies at the University of Belgrade's Faculty of Mechanical Engineering. His research spans Artificial Intelligence , Internet of Things , and Computer Vision with emphasis on practical applications. Key focus areas include metaheuristic optimization of neural networks for tasks like crop yield prediction, medical diagnostics, and cybersecurity. Recent work demonstrates strong industry relevance in precision agriculture, drone detection systems, and sustainable homestead automation. Analysis of his 15 most recent publications reveals a consistent pattern of applying modified metaheuristics to enhance deep learning models across diverse domains. His work bridges theoretical AI advancements with real-world implementations in agriculture, healthcare, and energy systems. Scientific Contributions: Author of 3 textbooks including 'Veb informacioni sistemi' (2024) and 'Veb programiranje' (2021) Published 40+ journal/conference papers between 2003-2025 Active contributor to Springer book chapters on AI applications Dobrojević's work demonstrates strong practical orientation with projects in Serbian renewable energy transition, flood prevention systems, and municipal e-government solutions. His recent collaborations with researchers like N. Bacanin and M. Zivkovic show consistent output in high-impact journals. Current projects focus on generative AI for medical data and computer vision for agricultural optimization. His laboratory work centers on IoT-based monitoring systems for environmental applications, particularly water management in mountainous regions. Ongoing research explores drone detection networks and waste classification systems using advanced computer vision techniques.

Nebojsa StankovicView profile

Assistant Professor

• Artificial Intelligence in Education
• Machine Learning Applications
• Programming Education
• +3 more

Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.

Dora SelesiView profile

Professor

• Stochastic Processes
• Stochastic Analysis
• Functional Analysis
• +3 more

Dora Selesi is a Full Professor at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad, Serbia. She holds joint appointments at the Medical Faculty and University Centre of Applied Statistics on a partial-time basis. Her academic role includes chairmanship of the Analysis, Probability and Differential Equations division, alongside editorial roles in journals like Novi Sad Journal of Mathematics and Filomat . Education: PhD in Mathematics, University of Novi Sad (2007), thesis: Generalized stochastic processes in infinite dimensional spaces with applications to singular stochastic partial differential equations MSc in Mathematics, University of Novi Sad (2004) Research Interests: Focuses on stochastic processes, stochastic analysis, functional analysis, and their applications to partial differential equations. Key areas include generalized stochastic processes, Malliavin calculus, chaos expansions, fractional calculus, and stochastic PDEs. Her work bridges pure mathematics and applied fields like mathematical physics and epidemiology. Teaching: Teaches advanced courses on mathematical analysis, differential equations, measure theory, actuarial mathematics, and biomathematics. She emphasizes computational tools (e.g., Mathematica, MATLAB) and interdisciplinary applications in her teaching. Affiliations: Active member of societies such as the American Mathematical Society (AMS), European Women in Mathematics (EWM), and the International Society for Analysis, its Applications and Computation (ISAAC). She has organized conferences like the DAAD school on Chaos expansions and contributed to academic committees. Labs & Teams: Leads research on stochastic processes and chaos expansions, collaborating with international scholars. Her workgroup has produced notable research in generalized functions and stochastic differential equations.

• Information Technology
• Automatic Control
• Applied Mechanics
• +4 more

Velibor Isailovic is an Associate Professor at the Faculty of Engineering Sciences, University of Kragujevac, Serbia, where he is affiliated with the Department of Applied Mechanics and Automatic Control. His academic work centers on information technology and control systems within engineering contexts. His research interests include Information Technology , Automatic Control , Applied Mechanics , Control Systems , Engineering Informatics , Mechatronics , and Industrial Automation . These fields reflect his interdisciplinary role bridging mechanical engineering and computing. While specific publications are not detailed in the source text, his affiliation with the Department of Applied Mechanics and Automatic Control suggests a focus on automation, robotics, and intelligent systems in industrial and mechanical applications. There are no listed scientific awards or honors in the provided information. Velibor Isailovic advises students within his department, though no named students are listed. He contributes to academic and research activities at the university, likely participating in funded projects related to automation and information systems in engineering. He is part of the research and teaching team within the Department of Applied Mechanics and Automatic Control, which is involved in various national and international research initiatives, laboratories, and technical developments.

• Computer Science and Informatics
• Automatic Control
• Applied Mechanics
• +4 more

Aleksandra Vulovic is a Researcher at the Department of Applied Mechanics and Automatic Control within the Faculty of Engineering Sciences, University of Kragujevac, Serbia. She holds a doctoral degree in mechanical engineering and bioengineering, with academic affiliation rooted in technical and technological sciences. Her research interests lie at the intersection of computer science, informatics, and engineering, particularly in applied mechanics and automatic control systems. This includes work in automation, mechanical system design, and interdisciplinary applications in bioengineering. No scientific awards or publications were listed in the available information. There is no mention of student advising, research grants, or leadership in labs or research teams in the provided text.