جست‌وجوی استاد و پژوهشگر

Darko Dimitrovskiمشاهده پروفایل

استاد

• Tourism Management
• Hospitality Management
• Wine Tourism
• +۵ مورد دیگر

Dr. Darko Dimitrovski serves as a Full Professor at the Faculty of Hotel Management and Tourism, University of Kragujevac, specializing in Tourism and Hotel Management. His academic journey spans over two decades with progressive appointments from assistant (2013) to associate professor (2019) and finally full professor (2023). His educational background includes: Bachelor's in Geography from University of Belgrade (2002) Master's in Tourism and Hotel Management from University of Novi Sad (2009) PhD in Geography from University of Belgrade (2013) Postdoctoral research at University of Tras-os-Montes, Portugal (2016-2017) Dimitrovski's research focuses on tourism management with specialized expertise in wine tourism, food markets, event tourism, and sustainable practices. His work examines tourist behavior in urban food markets (e.g., Barcelona's La Boqueria), wine tourism apps, crisis management in hospitality, and economic impacts of sporting events. Recent publications explore digital transformation in tourism through mobile apps and green leadership frameworks. His publication trends reveal deep engagement with: Wine and food tourism dynamics Digital platforms and mobile technology in tourism Sustainable destination management Methodological approaches in tourism economics Urban tourism experiences Professionally, Dimitrovski contributes as Associate Editor for Tourism Management Perspectives and serves on editorial boards of multiple tourism journals including European Journal of Tourism Research. His project portfolio includes European Union-funded initiatives like INNOVINE & WINE and COST Action OceanGov, focusing on wine tourism innovation and ocean governance. His teaching portfolio spans undergraduate to doctoral levels, covering Management of Travel Agencies, Business Tourism, Crisis Management, and Event Tourism. Early career included teaching positions at various Kragujevac technical schools (2002-2013) before joining the University of Kragujevac faculty in 2013.

Marko Šaracمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Blockchain Technology
• +۷ مورد دیگر

Marko Šarac is a Professor at Singidunum University in the Faculty of Informatics and Computer Science . He holds a Master's degree in Contemporary Information Technologies (2008) and a PhD in Advanced Protection Systems (2013) from the same institution. His research spans Cybersecurity, Artificial Intelligence, Blockchain, Internet of Things (IoT), Machine Learning, and Data Privacy . Education: Master: Contemporary Information Technologies, Singidunum University, 2008 PhD: Advanced Protection Systems, Singidunum University, 2013 Research Focus: SSL Traffic Security, Virtual Datacenters, Biometric Cryptography, and IoT Healthcare Systems Developed frameworks for Explainable AI in Metaverse Security , Blockchain-based IoT Security Gateways , and Machine Learning for Medical Diagnostics Notable Publications: 2025: CNN-enhanced attack detection for IoT-based Metaverse 2024: Modified Firefly Algorithm for medical dataset classification 2023: Space weather prediction using metaheuristics Projects: Co-author on 9+ books including Internet Marketing (2020) and Computer Network Security (2014) Contributed to 50+ peer-reviewed journals and conference papers on cybersecurity and AI Grants & Collaborations: Active in IEEE , ZINC , and Sinteza conference series Collaborated with researchers across Europe and Asia on IoT, Blockchain, and Cloud Security Contact: msarac@singidunum.ac.rs

• Computer Engineering
• IoT Systems
• Machine Learning
• +۴ مورد دیگر

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).

• Artificial Intelligence
• Internet of Things
• Computer Vision
• +۴ مورد دیگر

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.

• Statistics in Psychology
• Computer Applications in Psychology
• Scientometrics and Bibliometrics
• +۱ مورد دیگر

Dejan Pajić is an Associate Professor at the University of Novi Sad , affiliated with the Faculty of Philosophy ’s Department of Psychology . With a focus on Statistics in Psychology , Computer Applications in Psychology , and Scientometrics and Bibliometrics , he has contributed extensively to open science initiatives in Serbia, including the development of the SCIndeks database, the BeOPEN project, and the ReMaster thesis repository. PhD in Psychology, University of Novi Sad Master of Psychology, University of Novi Sad Bachelor of Psychology, University of Novi Sad His research bridges statistical methodologies, digital tools, and academic communication. He has explored information visualization to enhance research accessibility and examined the globalization of social sciences in Eastern Europe. His work addresses systemic challenges in citation practices, journal ranking stability, and the internationalization of regional academic outputs. The articles highlight Dejan’s expertise in scientometrics and information retrieval , spanning citation analysis, digital infrastructure, and research evaluation. His publications emphasize national perspectives , journal metrics , and human-computer interaction in scholarly contexts. Dejan has been pivotal in collaborative projects like SCIndeks , BeOPEN , and ReMaster , which aim to strengthen open science frameworks. He has also held leadership roles, including Head of the Department of Psychology and membership in the Expert Council for Humanities and Arts at the University of Novi Sad.

Gordana Dobrijevićمشاهده پروفایل

استاد

• Management
• Negotiation
• Business Communication
• +۴ مورد دیگر

Gordana Dobrijević is a full professor at Singidunum University, specializing in Management, Negotiation, and Business Communication. She teaches courses on Conflict Management, Organizational Development, and International Management in both Serbian and English. Her research interests span negotiation strategies, organizational behavior, and the integration of technology in business processes. She holds a PhD in Economic Sciences from Singidunum University (2009), an MSc in International Management and Marketing from Belgrade's Faculty of Economics (2005), and a BSc in English Language and Literature from Belgrade's Faculty of Philosophy (1993). Dr. Dobrijević has authored/co-authored textbooks such as Međunarodni menadžment (2017) and Poslovno komuniciranje i pregovaranje (2011). Her research focuses on negotiation dynamics, human resource management in virtual environments, and the application of AI in business processes. Notable projects include studies on pandemic impacts on work organization and cross-cultural communication challenges in education. Her recent work explores AI's role in negotiation systems and organizational cohesion in sports teams. She has contributed to interdisciplinary initiatives like the Singidunum Journal of Applied Sciences and participates in international conferences such as Sinteza and GV Global Virtual Conference. Her research emphasizes practical applications of theoretical frameworks in real-world business scenarios.

• Computer Engineering
• Internet of Things (IoT)
• Human-Computer Interaction
• +۷ مورد دیگر

Diјana Stoјić is a Lecturer at the Department of Computer and Software Engineering , Faculty of Technical Sciences Čačak , affiliated with the University of Kragujevac . She holds a Master's degree in Computer Engineering and is currently pursuing her PhD in Electrical and Computer Engineering at the same faculty. Her academic role involves teaching subjects such as Programming Languages, Human-Computer Interaction, and Visual Programming. Born: March 7, 1988, in Foča, Bosnia and Herzegovina Education: Primary (Vuk Karadžić School, Čačak), Technical School in Čačak (Computer Engineering), BSc and MSc from the Technical Faculty in Čačak Her research interests span Computer Engineering , Internet of Things (IoT) , Machine Learning , and Human-Computer Interaction . Recent publications highlight her work in artificial neural networks , augmented reality applications , and image classification for agricultural and medical purposes. She has contributed to projects like the TR32043 project on low-power systems and the DeSKoll project on German-Serbian language resources. Notable scientific awards include: Award for Best First-Year Student in Electrical Engineering (Technical Faculty in Čačak) Scholarship from the Ministry of Education, Science, and Technological Development (2013-2017) Her grant involvement includes participation in the TR32043 project (2011-2019) and the DeSKoll project (2024-2025). She has also collaborated on lab experiments and remote engineering education initiatives during the pandemic.

• Computer Adaptive Testing
• Database Management
• Software Engineering
• +۷ مورد دیگر

Dr. Svetlana Andjelic is a prominent researcher at Singidunum University, with a career spanning over two decades in educational technology, information systems, and machine learning applications. She holds a PhD in Management of Information Systems from "Union" University (2010), a Master's in Electronic Business from University of Belgrade (2007), and a specialist degree in Electronic Business (2005). Her work focuses on computer adaptive testing, database applications, and digital transformation in education. Education PhD in Management of Information Systems (2010), Faculty of Engineering Management, "Union" University Master's in Electronic Business (2007), Faculty of Organizational Sciences, University of Belgrade Specialist in Electronic Business (2005), Faculty of Organizational Sciences, University of Belgrade BSc in Information Systems (2001), Faculty of Organizational Sciences, University of Belgrade Her research explores: computer adaptive testing for knowledge assessment, database management systems, software engineering methodologies, cloud computing security, and educational technology implementation during crises. She has co-authored multiple books including "Application of databases" (2022) and "WPF and ASP.NET Framework" (2016). Recent publications demonstrate her evolving focus from educational assessment tools to modern security challenges and renewable energy forecasting. She collaborates extensively across Serbian institutions on topics ranging from rural tourism digitalization to banking sector innovations.

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.

• Computer Engineering
• Software Engineering
• Artificial Neural Networks
• +۴ مورد دیگر

Dr. Željko Jovanović is an Assistant Professor at the Department of Computer and Software Engineering , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. He holds a PhD in Electrical Engineering and Computing (2020) from the University of Niš, with a focus on Application of IT in improving the quality of patient transport , and a Diploma Engineer in Computer Science (2008) from the University of Kragujevac. Current roles: Head of Department (2023–present), Coordinator of Undergraduate Studies (2021–present) Teaching areas: Programming basics, Object-oriented programming, Software engineering, Medical informatics (PhD studies) His research focuses on Computer Engineering and Software Engineering , with applications in Medical Informatics , Intelligent Transportation Systems , IoT , and Smart Cities . He has contributed to 15+ publications in journals and conferences, including IEEE Transactions on Intelligent Transportation Systems , Electronics , and Transactions in GIS , emphasizing artificial neural networks , data mining , and comfort assessment in healthcare and transportation contexts. Projects include the national TR32043 initiative on low-power computing systems and the international NeReLa project for remote labs. He has developed technical solutions for thermal comfort monitoring , smart suspension control , and IoT-based systems , and serves on academic committees for software engineering and computer science education.

Dragan Rakićمشاهده پروفایل

دانشیار

• Applied Mechanics
• Structural Analysis
• Finite Element Method
• +۵ مورد دیگر

Dragan Rakić is an Associate Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac, Serbia. His research focuses on structural safety assessment, material modeling, and computational mechanics. He specializes in dam safety analysis, finite element method applications, and tribomechanical systems. His work integrates machine learning and artificial intelligence for predictive modeling in engineering systems. Key research areas include structural integrity assessment, geotechnical modeling of embankment dams, and failure analysis of civil infrastructure. He contributes to national guidelines for dam safety in Serbia and develops user interfaces for constitutive model parameter identification. His projects address resilience of water resource systems under hazardous events, combining system dynamics and neural networks. Academically, he is affiliated with the Department for Applied Mechanics and Automatic Control, collaborating on interdisciplinary projects involving mechanical, civil, and environmental engineering. His publications span dam stability analysis, material behavior modeling, and failure assessment methodologies.

Petar J. Rajkovicمشاهده پروفایل

استادیار

• Medical Informatics
• Information Systems
• String Algorithms
• +۲ مورد دیگر

Petar J. Rajković is an Assistant Professor in the Department of Computing and Informatics at the Faculty of Electronic Engineering, University of Niš. His work focuses on medical information systems and algorithm development for specialized applications. He received his M.S. (2009) and B.S. (2002) from the University of Niš. Research includes string comparison algorithms for Serbian names and digital filter implementations. Key areas: Web-based medical information systems Adaptation of phonetic algorithms for Serbian language Content management for educational applications Noise reduction in digital signal processing

• Computer Engineering
• Information Technologies
• Data Warehousing
• +۴ مورد دیگر

Dr. Natasa Gojgić is a Professor at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia, affiliated with the Department of Information Technologies. She holds a PhD (2010) and master's degree (2004) in Information Systems from the Faculty of Technology, and a mechanical engineering degree from the Military Technical Faculty in Zagreb (1990). Her career includes industrial roles at companies like 'Sloboda' and 'Spektar' before transitioning to academia in 2002. Her research focuses on Computer Engineering and Information Technologies , with emphasis on: Information systems in education and business intelligence Data warehousing and OLAP analysis E-learning and educational technology enhancement Databases and integrated information systems Her recent publications (2020-2022) explore educational technology, data-driven teaching improvements, e-learning efficacy, and medical informatics applications. She teaches courses including Introduction to Information Technology , Databases , and Multidimensional Data Warehouse Analysis .

• Information Systems
• E-learning
• Educational Technology
• +۳ مورد دیگر

Marija Nikolić is a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences Čačak, University of Kragujevac. She holds a Master of Pedagogical and Technical Sciences from the Technical Faculty in Čačak, specializing in Informatics in Education. Her career spans over two decades in technical and educational institutions, focusing on integrating information technologies into education and improving teaching methodologies. She has contributed to projects like the ENGLIT initiative enhancing digital competencies in English language teaching. Education: BSc in Technology and Informatics (1998, Technical Faculty Čačak), MSc in Informatics in Education (2010, same institution). Professional roles include laboratory assistant, professional associate in Information Systems, and current lecturer position. She has authored/co-authored over 30 publications in journals and conferences, addressing e-learning, web technologies in education, and ICT applications. Research interests emphasize E-learning systems, multimedia content integration, and technology-driven educational efficiency. Recent work includes studies on smart education frameworks, challenges in digital learning environments, and ICT tools for student performance improvement. She actively participates in international conferences and contributes to textbooks like Informatics and Computing (2014). Her involvement in Erasmus+ projects addresses skills gaps in European industries, focusing on equality and innovation. She collaborates on initiatives like the AEQUALIS4TCLF program (2024-2028) targeting textile and footwear sectors. No scientific awards are explicitly listed, but her extensive publication record reflects scholarly contributions.

• Automation
• Robotics
• Control Systems
• +۳ مورد دیگر

Darko Todorovic is an Assistant Professor at the Department of Automation, Faculty of Electronics, University of Niš. His academic career began with his appointment in 2014. He holds a doctoral degree and has conducted research in automation, robotics, control systems, and mechatronics. His work focuses on topics such as mobile robot localization, sensor calibration, and algorithm design for mechatronic systems. Research interests include robotics, control systems, and embedded systems applications. Notable projects involve developing methods for mobile robot navigation, sensor error correction, and human-machine interface prototyping. His contributions to collaborative software development and UML modeling in PLC systems highlight his interdisciplinary approach. He has participated in 1 national and 2 international projects, demonstrating engagement in both academic and applied research. His publications span conferences like ETRAN and INFOTEH®-JAHORINA, with a focus on practical engineering solutions and simulation techniques. Currently affiliated with the Faculty’s automation department, Todorovic contributes to teaching and research activities without explicitly listed awards or grants. His work bridges theoretical control systems with real-world applications in robotics and medical devices.