Find Academic Supervisors

• Industrial Engineering
• Manufacturing Systems
• Occupational Safety and Health
• +5 more

Professor Ivan Mačužić is a faculty member at the University of Kragujevac's Faculty of Engineering, specifically within the Department for Production Engineering. His expertise centers on Industrial Engineering, with a focus on Industry 4.0 integration, occupational safety, and human-robot collaboration. He leads research initiatives in manufacturing automation, neuroergonomics, and smart technologies for workplace safety. His research interests include advancing Industry 4.0 applications, optimizing production systems, and leveraging IoT and AI for safety improvements. Notable projects involve robotic stations for food processing, modular lab setups for neuroergonomics experiments, and exoskeletons for manual labor safety. Professor Mačužić emphasizes practical solutions for SMEs, such as IoT-based warehouse management systems and risk assessment tools. His work bridges theoretical frameworks with real-world implementation, addressing challenges in safety culture, process optimization, and human factors in industrial environments. Publications highlight trends in Industry 4.0 safety frameworks (Safety 4.0), cognitive load analysis in collaborative robotics, and deep learning applications for workplace hazard detection. He actively contributes to improving occupational health through innovative technologies and adaptive systems.

• Production Engineering
• Tribology
• Materials Science
• +5 more

Vladimir Kočović is an Associate Professor of Production Engineering at the Faculty of Engineering, University of Kragujevac. His research focuses on advanced manufacturing processes, tribology, materials science, and optimization of machining techniques. He holds a position in the Department of Production Engineering and has contributed to numerous interdisciplinary studies. His work spans experimental and computational methods, including tool wear analysis, material testing, and automation in manufacturing. He has developed specialized devices for measuring kinetic friction coefficients and optimizing cutting processes. Notable projects include studies on micro-cutting processes, 3D model reconstruction, and the application of AI in defect classification. Despite his prolific research output, no scientific awards are explicitly mentioned. He collaborates on projects involving tribological investigations, reverse engineering, and additive manufacturing. His academic activities include teaching and advising on mechanical engineering and industrial processes, though student names are not listed in available texts.

• Computer Science
• Electrical Engineering
• Computer Architecture
• +3 more

Oliver M. Vojinović serves as an Assistant Professor in the Department of Electrical Engineering and Computing at the Faculty of Electronic Engineering, University of Niš. Appointed to his current academic rank in 2017 after serving as an assistant trainee since 2001, he maintains active roles in teaching and research within Serbia's academic framework. His educational foundation includes a Bachelor's degree (2000) and Master's degree (2008), both in Electrical Engineering and Computer Science from the Faculty of Electronic Engineering. These qualifications established his technical expertise in computing systems and electrical engineering disciplines. Dr. Vojinović's research spans Computer Science, Electrical Engineering, and Education Technology, with concentrated efforts in Computer Architecture simulation tools and optimized Signal Processing implementations. His work bridges theoretical computing concepts with practical engineering applications, particularly through development of educational simulation environments like SimArch for computer architecture instruction. Analysis of his publication history reveals consistent contributions to folded FIR filter architectures and computer science education methodologies. The trajectory shows evolving focus from hardware implementation (2002-2004) toward pedagogical applications of computing (2005-2007), demonstrating interdisciplinary integration of engineering principles with educational innovation. Currently engaged in one national and one international research project, he contributes to academic advancement through project-based learning initiatives and TEMPUS mobility programs. His institutional involvement includes participation in faculty quality assurance frameworks and continuous education programs at the University of Niš.

Mladen VeinovićView profile

Professor

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

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

• Information Systems Analysis and Design
• Business Intelligence Systems
• Data Governance
• +5 more

Angelina Njeguš is a Full Professor at Singidunum University. She holds a B.Sc. in Information Systems from the Faculty of Organizational Sciences (FON), University of Belgrade (1994), an M.Sc. in Industrial Engineering (FON, 1999), and a Ph.D. in Virtual University System Development from the Faculty of Business Studies, Belgrade (2003). Her expertise spans Information Systems Analysis, Business Intelligence, Data Governance, and Big Data Analytics. Recently, her research focuses on Affective Computing, HCI, and pattern recognition using Deep Learning. She has published over 100 articles and authored seven books, including titles on software design patterns and information systems in tourism. Research Interests: - Advanced analytics and AI-driven systems in hospitality - Cybersecurity in cloud environments - Emotion recognition through multimodal data analysis - Agile methodologies in software development Key Collaborations: - IBM (AI and IDR consulting) - Microsoft/Oracle partnerships in certification and internship programs Her work bridges academia and industry, with contributions to: - Blockchain applications in tourism - Employee satisfaction models using ML - Digital transformation strategies in hospitality

Ivana IvanovićView profile

Professor

• Mechanical Engineering
• Thermal Science
• Materials Science
• +4 more

Ivana Ivanović is a Professor affiliated with Singidunum University. She holds a Doctorate in Aerospace Engineering from the Faculty of Mechanical Engineering, University of Belgrade (2008), a Master's in Mechanical Engineering from Polytechnique Montréal (2001), and a Bachelor's in Theoretical Mechanics from the Faculty of Mathematics, University of Belgrade. Her research focuses on thermal science, materials science, numerical simulation, and fracture mechanics, with applications in welding processes, material degradation analysis, and aerospace engineering. She has published extensively in peer-reviewed journals and conference proceedings, contributing to advancements in computational mechanics and engineering software development. Her work emphasizes bridging experimental and numerical methods, particularly in analyzing temperature fields during hard-facing processes, crack growth under thermal and mechanical stress, and laser beam welding simulations. Recent contributions include exploring open-source engineering software for numerical simulations and optimizing low Reynolds number airfoils. Ivana has collaborated on projects involving thermo-chemical erosion in gun steel, shock wave dynamics in mortar systems, and environmental impact studies of river temperature changes. Notable collaborations include co-authorship with institutions like Singidunum University and international journals such as Thermal Science and the Technical Gazette . Her research demonstrates a strong interdisciplinary approach, integrating mechanical engineering principles with computational tools to solve complex material and thermal challenges.

• Information Systems
• Data Warehousing
• Database Management
• +5 more

Dr. Nataša Goјgić is a Professor of Applied Studies at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac. Her academic career spans decades of teaching and research in information systems, databases, and technology-enhanced education. Military Technical Faculty in Zagreb (Mechanical Engineering) Master's in Information Systems at Technical Faculty Čačak PhD in Information Systems Integration and Quality Management Dr. Goјgić's research focuses on information systems , data warehousing , and educational technology . Her publications reveal strong interests in: Business Intelligence and OLAP systems Regression algorithms in healthcare E-learning platforms and teaching methodologies Quality Management Systems (QMS) integration Database monitoring and financial technology She has pioneered the use of information systems in academic quality assurance and developed teaching materials for database systems. Her work bridges industrial engineering and modern information technologies.

Miroslav BјekićView profile

Professor

• Electrical Power Engineering
• Electric Micromachines
• Simulation and Modeling of Electromechanical Processes
• +4 more

Professor Miroslav Bјekić is a Full Professor at the Department of Power Engineering within the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. With a career spanning over three decades, he has established himself as a leading expert in electrical power engineering, particularly in the areas of electric machines, drives, and energy efficiency. Education background: Graduated in Electrical Engineering (Industrial Power Engineering) from Technical Faculty Čačak in 1991 Completed Magister studies at Faculty of Electrical Engineering, University of Belgrade in 1995 Obtained PhD in 2006 from Technical Faculty Čačak with dissertation on step motors Professor Bјekić's research focuses on electric micromachines, simulation and modeling of electromechanical processes, and laboratory investigation of electric machines and drives . His work bridges theoretical electrical engineering with practical applications, particularly in energy efficiency. He has developed numerous educational tools and software applications that enhance the teaching of complex electrical engineering concepts through visualization and simulation. His publication record demonstrates a consistent research trajectory with recent work increasingly focusing on educational technology applications (particularly GeoGebra tools for electrical machine instruction), advanced motor control algorithms, and energy efficiency optimization. The interdisciplinary nature of his work connects electrical engineering with building science, robotics, and educational methodology. Scientific recognition: Recipient of 2nd award at international PhD seminar in Ohrid, 2005 Coordinator of multiple national and international research projects Active participant in standardization committees for electrical machinery Professor Bјekić has secured significant research funding through national projects including TR33016 'Research, Development and Implementation of Programs and Measures for Energy Efficiency of Electric Drives' and has participated in international initiatives like TEMPUS projects. He has developed accredited teacher training programs and has modernized laboratory facilities for electric machines and drives through project funding and industry collaboration. He leads the Laboratory for Electrical Machines, Electromotor Drives and Automation (www.empa.tfc.kg.ac.rs), which has evolved into a center for both research and educational innovation, featuring remote laboratory experiments that connect university and secondary vocational school education.

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

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

Александар С. СтанимировићView profile

Associate Professor

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

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

Zlatko LangovićView profile

Professor

• Business information systems
• Software engineering
• Computer networks
• +2 more

Dr. Zlatko Langović serves as a Full Professor at the Faculty of Hotel Management and Tourism in Vrnjačka Banja, University of Kragujevac, Serbia, holding this position since 2017. His academic career spans strategic management instruction and interdisciplinary research bridging business economics with information technology. Prior appointments include faculty roles at Megatrend University's Business Studies Faculty (2008-2017) and teaching mathematics/computer science in Belgrade elementary schools (2004-2008), alongside industry experience in programming and network administration at Eurocom (2003-2004). Basic Academic Studies: Faculty of Mining and Geology, University of Belgrade (Mining Engineer for Mechanization in Mining, 2001) Master's Studies: Faculty of Business Studies, Megatrend University (Master of Economics, 2005) Doctorate: Faculty of Business Studies, Megatrend University (Doctor of Economics, 2007) Langović's research centers on business information systems, software engineering, and computer networks, with emphasis on architecture, organization, and algorithm theory. His work consistently explores how IT infrastructure—including cloud computing, SDN virtualization, and network security—impacts business systems, economic growth, and strategic management in Serbian and European contexts. Recent publications demonstrate increasing integration of sustainability frameworks and pandemic-response modeling. Analysis of his 2020-2025 publications reveals three dominant trajectories: (1) Application of MCDM methods in tourism sustainability and mining engineering; (2) Statistical modeling of economic/health data using novel distributions; (3) ICT-driven solutions for waste management, recruitment, and cultural heritage. The Serbian context remains central, with 60% of studies using local case data while addressing global challenges like digital transformation and pandemic resilience. Langović participated as researcher in the Ministry of Science-funded project "Strategic options for networking the Serbian economy in global economic flows" (2011-2015, Project #179032), examining e-business impacts on domestic markets. He maintains active membership in the Association of Engineers and Technicians of Serbia, though no formal student advisees or dedicated research labs are documented in available materials.

Filip JovanovićView profile

Assistant Professor

• Project Management
• Software Development
• Information Technology
• +1 more

Assistant Professor Filip Jovanović, PhD, serves at the Faculty of Project and Innovation Management, specializing in project management and software development leadership. His industry experience bridges academic theory with real-world applications. Education includes: Master's in Management, Faculty of Organizational Sciences PhD from Technical Faculty in Bor, University of Belgrade His research focuses on software project execution methodologies and cross-cultural team dynamics in technology environments. With four SCI/SSCI-indexed publications and two authored books, his work emphasizes practical frameworks for software development management. Professional expertise stems from project/product management roles at Asseco SEE, Mozzartbet, GoWild, and Trezorsolutions across Belgrade, Vienna, and Bucharest. He holds IPMA Level D certification and contributes to both academic scholarship and industry practice through his dual expertise.

Milovan StanišićView profile

Professor

• Auditing
• Financial Reporting
• Internal Control
• +7 more

Milovan Stanišić is a Professor at the Department of Postgraduate Studies, Singidunum University , with a focus on auditing, financial reporting, and sustainable business practices. His affiliations span multiple faculties including the Faculty of Business in Belgrade and the Faculty of Tourism and Hotel Management. Doctoral Degree (1987), Master's (1981), and Basic Studies (1976) from the University of Belgrade and Sarajevo Research Interests include audit regulation, eco-tourism profitability, internal control systems, and globalization impacts on public education institutions. His work frequently analyzes financial reporting irregularities and sustainable development in the hospitality sector. Publication Trends show expertise in financial transparency ( Amfiteatru Economic 2013), hotel business analytics ( Proceedings FINISH Conference 2019), and IT audit frameworks ( Singidunum Journal 2010). Recent work explores regulatory compliance ( 2025 Book ). Conference Contributions cover topics like non-financial reporting (2018), supply chain optimization (2012), and depreciation analysis (2015), often presented at Singidunum University's international conferences.

• Information and Communication Technologies in Education
• Digital Business
• Artificial Intelligence in Education
• +8 more

Marija Marković Blagojević is a researcher at Singidunum University's Faculty of Informatics and Computing, with 17 years of experience in information and communication technologies (ICT) in education and business. She has published over 70 scientific and professional papers, co-authored the textbook Digital Business , and actively contributes to higher education quality assurance through accreditation and self-evaluation projects. Doctoral Studies: Applied Management, University of Privredna Akademija Novi Sad (2013-2018) Master's Studies: Informatics Management, Union University Belgrade (2009-2010) Bachelor's Studies: Industrial Engineering, Union University Belgrade (2002-2004) Her research focuses on ICT in education , artificial intelligence applications , digital transformation , sustainable development , and modern teaching methodologies . She has led projects like Erasmus+ initiatives on AI in adult education and founded the Center for Innovative Learning 'Better ME - Better WE' in Kruševac. Her 15 most recent publications span topics including IoT security , AI in education , and renewable energy forecasting , with a particular emphasis on digital tools' impact on student engagement and workforce adaptation . She has organized lectures on 'Artificial Intelligence in Education' and 'Business Communication in Digital Environments'. She coordinates academic journals and conferences through systems like Moodle and OJS , and has implemented national projects such as the 'Skillful with Skilled ChatGPT' initiative (2024). Her work aligns with Industry 5.0 principles, integrating humanization and sustainability in technological applications.

• Computational Modeling
• Computer Simulations
• Optimization Methods
• +6 more

Dr. Boban Stojanović serves as an Associate Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computational methodologies applied across multiple scientific domains. Stojanović earned his PhD in Technical Sciences from the University of Kragujevac, establishing a foundation for his interdisciplinary research approach that bridges mathematics, computer science, and engineering applications. His educational background has equipped him with expertise spanning theoretical frameworks to practical implementations. His research focuses on computational modeling and computer simulations , with particular emphasis on optimization methods , bioengineering applications (especially muscle modeling), and hydroinformatics . Stojanović has developed significant expertise in numerical simulations and has contributed to advancing methodologies in finite element analysis for complex biological systems. His work demonstrates a consistent pattern of applying computational techniques to solve real-world engineering and medical challenges. Analysis of his publication record reveals a strong trajectory in biomechanics and computational engineering, with increasing sophistication in modeling approaches from 2007-2012. His work shows particular strength in developing specialized finite element models for biological systems, transitioning from muscle mechanics to respiratory and swallowing physiology. The publications demonstrate collaborative work with international institutions including Steward/St. Elizabeth Hospital in Boston. Stojanović has participated in multiple international scientific projects including FP7 and TEMPUS initiatives. He serves as lead researcher on a bioengineering project with Steward/St. Elizabeth Hospital in Boston. Additionally, he is a co-founder of the Serbian Society for Computational Mechanics and serves on the Entrepreneurship Committee of the University of Kragujevac, demonstrating commitment to both academic advancement and practical application of research. He leads the Group for Mathematical Modeling and Computer Simulations, which serves as his primary research unit. This group focuses on developing advanced computational frameworks for engineering and biomedical applications, with particular attention to creating practical software solutions based on theoretical models.