جستجوی استاد راهنمای دانشگاهی

• Computing
• Informatics
• Computer Science
• +۴ مورد دیگر

Mina S. Nikolić is an Assistant Professor at the Faculty of Electronics, University of Niš, Serbia, where she has been actively contributing to academic instruction and research in the field of Computing and Informatics. She was elected as a Teaching Associate in 2022 and promoted to Assistant Professor in 2024. Her research interests lie broadly within computing and informatics, with likely focus areas including software engineering, data science, artificial intelligence, and information systems, derived from her academic appointment and departmental affiliation. The publication trends, though not explicitly listed, can be inferred to align with modern topics in computer science and applied informatics, given her recent academic appointments in a technical faculty. There are no listed scientific awards or honors in the provided text. Mina S. Nikolić has been involved in academic advising and potentially research supervision at the master's and doctoral levels, although specific student names are not mentioned. There is no public information about grants or funded projects she may be leading or participating in. She is affiliated with the Department of Computing at the Faculty of Electronics, which is likely involved in research and educational initiatives in software development, computational systems, and digital technologies.

• Autonomous Vehicles
• Software Engineering
• Machine Learning
• +۳ مورد دیگر

Pavle Dakic is affiliated with Singidunum University as a researcher in the Faculty of Informatics and Computing . His work spans multiple disciplines including Software Engineering , Machine Learning , and Autonomous Vehicles . Doctoral studies in Electrical Engineering and Computing at Singidunum University (2015-2024) Doctoral studies in Applied Informatics at Slovak Technical University (2020-2024) Master’s in Contemporary Information Technologies at Singidunum University (2014-2015) His research focuses on CI/CD pipelines , automotive software compliance , and cybersecurity in autonomous systems. He has published extensively on topics like intrusion detection in IoT/IIoT and AI-powered call centers . Recent publications include work on AI integration in business , robotic vehicle sustainability , and metaheuristic optimization for intrusion detection . His collaborations span international institutions and researchers.

• Legal Informatics
• Digital Forensics
• E-Government
• +۳ مورد دیگر

Стеван Гостојић is a full professor of Applied Computer Science and Informatics at the Faculty of Technical Sciences (University of Novi Sad). He leads the Digital Forensics Laboratory and serves as a court expert in Information Technology. His roles include teaching courses such as Knowledge Engineering, Mobile Applications, Digital Forensics, and E-Government at both undergraduate and graduate levels. He mentors B.Sc., M.Sc., and Ph.D. theses across Computer Science and Software Engineering programs. His research focuses on legal informatics, digital forensics, e-government systems, knowledge engineering, and artificial intelligence applications. He actively participates in capacity-building projects in higher education and research initiatives. As an IT consultant, he advises on e-government solutions for clients ranging from local to international organizations. Professional affiliations include the Faculty of Technical Sciences, where he holds a permanent position in the Department of Informatics. His work combines academic leadership, technological innovation, and practical consulting in digital governance and cybersecurity domains.

Vladimir Kraguljacمشاهده پروفایل

استادیار

• Information Technology and Systems
• Business Informatics
• E-Learning
• +۷ مورد دیگر

Vladimir Kraguljac is an Assistant Professor at the Faculty of Hotel Management and Tourism in Vrnjačka Banja, part of the University of Kragujevac, Serbia. He teaches Business Informatics and Information and Communication Technologies in the context of hotel and tourism education. His academic affiliation is deeply rooted in applied informatics within the tourism and hospitality sector. His research interests focus on the integration of Information Technology in education, particularly in e-learning , distance learning software , and the use of touchscreen devices in teaching. He explores how digital tools enhance pedagogical outcomes in business informatics, especially for tourism and hospitality management students. The trend in his scholarly work reflects a strong emphasis on educational technology , ICT in tourism education , and digital assessment methods . His publications span topics such as web security, academic integrity, and internet-enhanced language instruction, showing a multidisciplinary approach to modern educational challenges. Professional Affiliations: Institute of Electrical and Electronics Engineers (IEEE) Project Involvement: TEMPUS Project: 'Modernization and Harmonization of Tourism Study Programmes in Serbia – MHTSPS' Project: 'Improving English Language Teaching in the Health Tourism Study Program in Primary Academic Studies' He advises on curriculum development and digital integration in higher education, particularly in tourism studies. His work contributes to modernizing academic programs through international collaboration and technology adoption. He is actively involved in academic service and has contributed to multiple conference proceedings and thematic publications. He is affiliated with research teams focused on educational innovation and digital transformation in tourism. His lab or research environment appears to be collaborative, involving co-authors from technical and educational backgrounds, and is oriented toward practical implementation in higher education settings.

Srđan Trifunovićمشاهده پروفایل

استادیار

• Partial Differential Equations
• Fluid-Structure Interaction
• Thermoelasticity
• +۳ مورد دیگر

Srđan Trifunović is an Assistant Professor at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad. His research focuses on fluid-structure interaction, thermoelasticity, and nonlinear partial differential equations, with applications in mechanical and applied mathematics. He holds a Ph.D. and is affiliated with the Functional Analysis, Geometry and Topology research group. Education: Doctorate in Mathematics (Ph.D.) His research interests include the theoretical analysis of contact problems in fluid-structure systems, thermomechanical coupling in elastic materials, and the development of weak solution methodologies for complex multiphysics systems. Recent work explores time-periodic solutions in viscoelastic beam interactions and heat exchange dynamics in coupled fluid-plate systems. His articles (2020–2025) address fluid-structure interaction across compressible/incompressible fluids and thermoelastic plates/beams, emphasizing existence proofs, regularity, and asymptotic behavior. He has also contributed to damping analysis in wave equations and contact mechanics. No scientific awards or grants are explicitly listed in the provided data. He advises no students in the given texts. His consultations are conducted via email.

Milan Matijevićمشاهده پروفایل

استاد

• Automation and Mechatronics
• Applied Informatics and Computer Engineering
• Control Systems
• +۳ مورد دیگر

Milan Matijević is a Professor at the Faculty of Engineering , University of Kragujevac, Serbia. He holds a position in the Department for Applied Mechanics and Automatic Control , specializing in Automation and Mechatronics, Applied Informatics, and Control Systems. His research focuses on advanced control algorithms, remote laboratories, and educational technologies. Research Interests: His work emphasizes iterative learning control, digital motor control, SCADA systems, and the integration of virtual and remote laboratories into engineering education. Recent studies include applications in vibratory feeders, thermal power plants, and terrorism analysis. Publications: Dr. Matijević has contributed to over 50 articles, with a strong focus on control systems, robotics, and educational tools. Recent trends highlight advancements in reinforcement learning, cyber-physical systems, and problem-oriented learning methodologies. Awards: No scientific awards explicitly mentioned in the provided texts. Labs & Teams: He has developed multiple remote laboratory setups (e.g., hydraulic pump systems, LEGO web labs) and contributed to SCADA applications. His work emphasizes accessibility and innovation in engineering education through digital fabrication and web-based platforms.

• Wireless Sensor Networks
• Computer Engineering
• IoT
• +۷ مورد دیگر

Dr. Uroš Pešović serves as an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 15 years of academic service, he has progressed from teaching associate (2007-2018) to assistant professor (2018-2023) and currently holds the position of associate professor for Computer Engineering (2023-2028). Elementary school "Milica Pavlović" Čačak (1989-1997), average grade 5.00 - holder of Vuk's diploma Secondary Technical School Čačak (1997-2001), automation electrical technician, average grade 5.00 - holder of Vuk's diploma Technical Faculty, Čačak, University of Kragujevac (2001-2006), B.Sc. electrical engineer for computer technology, average grade 9.03 Faculty of Electrical Engineering, Computer Science and Informatics, University of Maribor, Slovenia (2007-2010), Master of Electrical Engineering, Major in Telecommunications, average grade 9.75 Faculty of Electrical Engineering, Computing and Informatics, University of Maribor, Slovenia (2010-2016), doctor of technical sciences, doctoral dissertation "Error probability model for IEEE 802.15.4 wireless transmission with co-channel interference and background noise" Dr. Pešović's research spans wireless sensor networks, IoT applications, computer architecture, and reliability engineering. His work demonstrates a strong focus on practical implementations of theoretical models, particularly in IEEE 802.15.4 wireless communication protocols and their applications in precision agriculture, industrial monitoring, and network communication systems. His expertise bridges hardware and software design, with recent work emphasizing machine learning applications for predictive maintenance and anomaly detection in storage systems. Analysis of his recent publications reveals a clear evolution from foundational wireless communication research toward more applied work in precision agriculture, industrial IoT, and educational technology. His current research emphasizes practical problem-solving in agricultural technology using LoRa and other wireless technologies, predictive maintenance of storage systems using machine learning, and innovative approaches to computer engineering education. Dr. Pešović teaches across all academic levels, including undergraduate courses in Computer Architecture, Organization of Computer Systems, Microcontroller Systems, and Computer Networks, as well as graduate courses in Hardware-Software Design, Intelligent Sensors, and Industrial Communication Networks. At the doctoral level, he teaches courses on integrated hardware-software design, disk performance, and telecommunication systems modeling.

• Digital Signal Processing
• Wavelet Transform
• Remote Laboratories
• +۳ مورد دیگر

Dr. Đorđe Damnjanović is an Assistant Professor at the Department of Computer and Software Engineering within the Faculty of Technical Sciences in Čačak , part of the University of Kragujevac . He specializes in digital signal processing, wavelet transform applications, and remote laboratory development for engineering education. Born: July 17, 1986, Belgrade Education: B.Sc. (2010), M.Sc. (2011), Ph.D. (2022) in Electrical and Computer Engineering His research focuses on audio signal analysis using wavelets, human-computer interaction , and remote experimentation systems. He has led projects like the NeReLa Tempus Network and contributed to blockchain consensus mechanisms . Publications span biomedical signal processing, noise reduction, and educational technology. Recent work includes 2025 studies on vehicle vibration analysis and 2024 papers on mobile earthquake detection. He teaches Signals and Systems , Digital Signal Processing , and Human-Computer Interaction at graduate and postgraduate levels.

Jelena Plašićمشاهده پروفایل

مدرس

• Data Science
• Business Intelligence
• Cloud Computing
• +۳ مورد دیگر

Jelena Plašić serves as a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences, University of Kragujevac. She holds office number 130 at Saint Sava 65, 32102 Čačak, Serbia, with contact details +381 032/302-734 and email jelena.plasic@ftn.kg.ac.rs. Her academic journey began with a Graduate Computer Scientist degree from the University of Kragujevac's Faculty of Science and Mathematics, followed by a Master of Information Technology Engineer degree from the Faculty of Technical Sciences in Čačak (2020). Her research focuses on data science applications in business intelligence , with particular expertise in cloud-based analytics, CRM systems, and educational technology transformation. She teaches core computing courses including Introduction to Programming, Programming Practicum, Programming Languages, E-Business, and Software Engineering. Her publication record reveals a strong trajectory in applying machine learning and data warehousing to solve business problems, with increasing sophistication from foundational CRM studies (2018) to advanced sustainable supply chain analytics (2025). Recent publications demonstrate a clear evolution toward integrated cloud analytics solutions , with 8 of her 14 works (2020-2025) focusing on Microsoft Fabric, big data modeling, and predictive analytics. Her work bridges theoretical frameworks with practical business applications across diverse sectors including education, healthcare, and manufacturing. She actively contributes to academic discourse through conference organization for ITOP and TIE events, and participates in faculty promotion initiatives.

Danko Milašinovićمشاهده پروفایل

استاد

• Computer Science
• Applied Computer Science
• Software Development
• +۶ مورد دیگر

Danko Milašinović is a Full Professor at the Faculty of Hotel Management and Tourism, University of Kragujevac, Serbia. His academic work spans applied computer science, software development, and biomedical simulations. Education: PhD in Computer Science (2011), University of Kragujevac; BSc in Physics (2006), University of Kragujevac Research Focus: Computer simulations, Linux server systems, finite element modeling, open-source biomedical software development Projects: Involved in EU FP6/FP7 grants (SEE-GRID, ARTreat), national research programs (TR6209, ON174028), and TEMPUS initiatives for tourism education modernization Contact: Office 20, Vrnjačka Banja, Serbia; Email: dmilashinovic@kg.ac.rs; Consultations: Fridays 11-16h His publications highlight interdisciplinary applications of computer science in healthcare, emphasizing deep learning (2022), virtual surgical assessment tools (2021), and finite element frameworks like dfemtoolz (2020). Recent work connects computational modeling with clinical practice, software engineering, and grid computing. Scientific contributions show strong citations (>50 in WoS/Scopus) and collaborations with institutions like University of Jyvaskyla (Finland). Current projects include AI4Dim & SurfQA (2022-2023) for quality control in manufacturing.

Ana N. Vuckovicمشاهده پروفایل

دانشیار

• Electromagnetism
• Computational Electromagnetics
• Applied Mathematics
• +۳ مورد دیگر

Ana N. Vuckovic is an Associate Professor at the Department of Theoretical Electrical Engineering, Faculty of Electronics in Niš, University of Niš. She holds a PhD (2015) and Master's degree (2008) from the same institution, with a BEng in Computing and Informatics (2003). Her academic career includes promotion to Assistant Professor in 2004 and Associate Professor in 2022. Her research focuses on computational electromagnetics, with emphasis on magnetic force calculations using hybrid boundary element methods (H-BEM). Key areas include permanent magnet systems, magnetic bearings, and bi-isotropic media analysis. She has contributed 8 peer-reviewed articles and participates in 1 national and 1 international research project. Professional activities include two international study stays and proficiency in English/French. Her work bridges theoretical electromagnetism with practical engineering applications, particularly in improving numerical simulation techniques for electromagnetic systems.

• Artificial Intelligence
• Computer Science
• Fuzzy Logic
• +۵ مورد دیگر

Đorđe Obradović is affiliated with Singidunum University's Faculty of Informatics and Computing. He holds a PhD from the University of Novi Sad's Faculty of Technical Sciences in Electrical Engineering and Computing (2003–2011), following a Master's (1998–2003) and Bachelor's (1992–1997) in the same field. His research focuses on artificial intelligence, fuzzy logic, image processing, and geospatial systems. Recent work includes air quality assessment frameworks using fuzzy sets, medical image analysis, and GIS applications. He has authored/co-authored numerous journal articles and conference papers, contributing to domains like neural networks, environmental modeling, and computer vision. His books include Artificial Intelligence: Theory and Applications (Springer, 2021) and Intelligent Systems: Models and Applications (Springer, 2013). Collaborations span academic and industrial projects, emphasizing practical applications of computational methods in real-world scenarios. Publications highlight contributions to fuzzy geometry, road lane detection, and SLAM algorithms, with a strong emphasis on interdisciplinary applications. Obradović's work often integrates machine learning with spatial data analysis, reflecting his expertise in both theoretical and applied computer science. His current research trends align with computational solutions for environmental monitoring, medical diagnostics, and geospatial challenges. No formal awards or grants are explicitly mentioned, though his extensive publication record and book authorship underscore his academic impact. His involvement in Singidunum's informatics faculty suggests teaching and mentoring roles, though specific advisees are not listed here. Projects include software systems for GIS-based simulations, sensor networks, and educational platforms.

• Autonomous Vehicles
• Software Engineering
• Cybersecurity
• +۳ مورد دیگر

Pavle Dakić is a researcher at Singidunum University, affiliated with the Faculty of Informatics and Computing and the Department of Electrical Engineering and Computing. He holds a doctoral degree in Applied Informatics from the Slovak University of Technology (2020-2024) and another doctoral degree in Electrical Engineering and Computing from Singidunum University (2015-2024). His research focuses on autonomous vehicles, cybersecurity, IoT/IIoT systems, and software compliance in automotive and healthcare sectors. He is actively involved in publishing peer-reviewed articles and conference papers, with recent work exploring AI-driven solutions for parking systems, cybersecurity in IoT environments, and the economic impacts of global market changes on automotive manufacturing. Pavle has collaborated on projects addressing standards compliance, fake news mitigation in online communities, and energy efficiency in autonomous vehicles. Education: Doctoral studies in Applied Informatics: Slovak University of Technology (2020-2024) Doctoral studies in Electrical Engineering and Computing: Singidunum University (2015-2024) Master’s in Contemporary Information Technologies: Singidunum University (2014-2015) His research interests span advanced topics such as intrusion detection systems for autonomous vehicles, software quality control using black-box testing, and the intersection of artificial intelligence with call-center optimization in automotive retail. Pavle has contributed to interdisciplinary projects, including analyses of agro-food production potential in Serbia and wage stability in the Republic of Srpska. His work emphasizes practical applications of technology in compliance, sustainability, and industry standards.

• Machine Learning
• Optimization Metaheuristics
• Cloud Computing
• +۹ مورد دیگر

Ivana Štrumberger is a Researcher at the Faculty of Informatics and Computing at Singidunum University in Belgrade, Serbia. Currently active in academia, she focuses on applying optimization metaheuristics to machine learning problems across diverse domains. Academic affiliation: Faculty of Informatics and Computing, Singidunum University Email: istrumberger@singidunum.ac.rs Research Focus Her work spans machine learning optimization, neural network tuning, and cloud computing applications. Key research areas include: Metaheuristic algorithms for deep learning (LSTM, GRU, CNNs) Feature selection and dimensionality reduction Cybersecurity applications (phishing detection, network intrusion) Financial forecasting (cryptocurrencies, oil prices) Environmental modeling (PAHs pollution, solar power prediction) Publication Trends Recent publications analyze: Hybrid models combining metaheuristics with XGBoost and ELM Applications of sine-cosine algorithm and Harris hawks optimization Time series prediction in energy and financial domains Deep learning for pandemic-related tasks (Covid-19 detection) Cloud computing resource scheduling solutions

• Software Testing Education
• Machine Learning
• Metaheuristic Optimization
• +۹ مورد دیگر

Tamara Živković is a researcher at the Faculty of Informatics and Computing, Singidunum University. She holds a PhD in Software Engineering from the School of Electrical Engineering in Belgrade (2024), with prior Master's and Bachelor's degrees in related fields. Education: PhD, Software Engineering (2012-2024), School of Electrical Engineering, Belgrade Master, Audio and Visual Technologies (2008-2010), School of Electrical Engineering, Belgrade Bachelor, Telecommunications and Information Technology (2001-2007), School of Electrical Engineering, Belgrade Her research focuses on software testing education, metaheuristic optimization for machine learning models, and AI applications in cybersecurity, medical diagnostics, and data analysis. She explores hybrid approaches combining neural networks (LSTM, GRU, CNN) with metaheuristic algorithms (PSO, Firefly, Crayfish) for complex prediction tasks. Recent publications span software defect prediction, phishing detection, Parkinson's disease diagnostics, and sentiment analysis. Her work integrates generative adversarial networks for dataset augmentation and applies attention mechanisms in NLP tasks. She has completed advanced certifications in software product management and agile practices from the University of Alberta, along with ISTQB testing certifications.