Milan Matijevic is a Full Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering Sciences, University of Kragujevac, Serbia. He has been serving in this role since his election on January 27, 2012. His research interests lie primarily in the domains of automation, mechatronics, applied informatics, and computer engineering. With a strong academic background from the Faculty of Mechanical Engineering in Kragujevac, his work emphasizes automatic control systems and intelligent engineering solutions. Although no specific list of publications or students is provided, his long-standing academic position and departmental affiliation suggest sustained contributions to engineering education and research. He is actively involved in the academic operations of the faculty. Prof. Matijevic has not been mentioned as receiving any specific scientific awards in the provided text. He advises students and contributes to academic programs within the Department of Applied Mechanics and Automatic Control. There is no explicit mention of grants or funded research projects in the available information. The Faculty of Engineering Sciences hosts various laboratories and research centers, particularly in automation and mechanical systems, where Prof. Matijevic likely participates in research and development activities.
Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.
Maja Radović is an Assistant Professor in the Department of Information Technologies at the Faculty of Technical Sciences, University of Kragujevac, Serbia. She has been working at this institution since September 2008, specializing in the narrow scientific field of Information Technologies and Systems. Her academic journey began at the Faculty of Technology in Čačak, where she graduated in 2008 with high honors, and later earned her Doctor of Science in Electrical Engineering and Computer Science from the Faculty of Electronics in Niš after defending her doctoral thesis on "Ontology-guided student testing in e-learning" in 2024. Dr. Radović's research spans multiple areas within educational technology and computer science. Her primary interests include e-learning systems, ontology-based assessment methods, database technologies, and the application of virtual environments in education. She has made significant contributions to the development of innovative teaching methodologies, particularly in engineering education and medical informatics. Her work often focuses on the intersection of technology and pedagogy, exploring how modern tools can enhance learning experiences and assessment practices. Over the years, Dr. Radović has been actively involved in numerous national and international projects, including TEMPUS projects focused on e-learning curriculum development, UNDP initiatives for digital transformation, and research projects in biomedical engineering. Her publication record demonstrates consistent contributions to the fields of educational technology, virtual learning environments, and ontology-based assessment systems. Dr. Milivoje Urošević Foundation Award for the best graduate student in the 2007/2008 academic year Dr. Radović has contributed significantly to curriculum development and teaching methodologies at her institution. She has been instrumental in adapting information technology courses to modern educational standards and has explored innovative approaches to student assessment. Her work extends to medical education, where she has developed ontology-based assessment tools for medical training. She has also investigated the application of 3D printing and virtual reality technologies in engineering education to improve spatial visualization skills among students.
Dr. Mariјa Blagoјević is a Full Professor at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac. With 15 years of teaching and research experience, she holds roles as a reviewer for scientific journals and member of the Tempus project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES. She participated in Erasmus mobility at Alexandru Ioan Cuza University of Iaşi and serves on the Commission for self-evaluation at her faculty. Her research focuses on ICT innovations, standardization in knowledge quality, e-learning systems, and agricultural modeling using artificial neural networks. Notable projects include developing web-based systems for yield prediction and e-learning platforms leveraging data mining. She has co-authored over 80 research papers across journals like Computer Standards and Interfaces , Scientia Horticulurae , and Computers and Electrical Engineering . Her work integrates technology with education and agriculture, emphasizing practical applications through standardization frameworks and educational technology. She has contributed to institutional excellence models in higher education and explored collaborative learning dynamics in online environments. Professional affiliations include participation in international projects and academic committees, reflecting her commitment to advancing both technical and pedagogical standards in academia.
Emina I. Milovanović is a full professor at the Department of Computing and Informatics, Faculty of Electronic Engineering, University of Niš. She has held this position since 2002 and has a distinguished career spanning over three decades. Her academic journey includes a PhD (1993), master's (1989), and undergraduate degree (1981) in Computing and Informatics from the same faculty. Academic Career: Full Professor since 2002 Education: PhD (1993), MSc (1989), BSc (1981) Her research focuses on parallel computing, systolic arrays, and hardware implementation of algorithms on reprogrammable platforms. Key areas include matrix computations, fault-tolerant systems, and FPGA-based solutions. She has authored 25 articles in impact-factor journals and contributes to national and international projects. Her work emphasizes systolic array architectures for matrix operations, fault-tolerant designs, and grid computing. Notable contributions include algorithms for shortest paths, Gaussian elimination, and matrix-matrix multiplication optimizations. She maintains an active role in academic administration and research collaborations, with a focus on advancing parallel computing methodologies and their practical applications.
Valentina M. Nejkovic serves as a Full Professor at the Faculty of Electronics, University of Niš, within the Department of Computing. Elected to this rank in 2025 in the narrower scientific field of Computing and Informatics, she maintains a strong institutional affiliation with Serbia's University of Niš where she completed her entire academic formation. Her educational credentials include: Master's degree (2004) from the Faculty of Electronics in Niš, Department of Electrical Engineering and Computer Science Graduation (2001) from the same department and institution Research interests center on Semantic Web technologies and collaborative information systems, with specialized expertise in tagging systems, wiki-based knowledge management, and agile project methodologies. Her work bridges computational theory with practical applications in cultural heritage infrastructure and industrial ecology management, demonstrating interdisciplinary versatility through collaborations with energy sector researchers. Publication analysis reveals a distinct career evolution: early work (2002-2004) focused on power electronics and industrial welding applications, while her mature research (2005-2007) pivoted decisively toward computer science with eight significant contributions in semantic technologies and collaborative systems. This trajectory highlights her successful transition from electrical engineering applications to core computing research.
Milos Stojakovic is a Full Professor in the Department of Mathematics and Informatics at the Faculty of Sciences, University of Novi Sad, Serbia. He has held this position since 2016, following appointments as Associate Professor (2011-2016) and Assistant Professor (2006-2011) at the same institution. Since 2018, he has led the Foundations of Computer Science research group. His academic foundation includes dual Bachelor's degrees in Mathematics and Computer Science (1999), a Master's degree in Computer Science (2001), and a Ph.D. in Computer Science from ETH Zurich (2005) under Emo Welzl and Tibor Szabó. Dr. Stojakovic's research focuses on: Positional games and their variants Discrete and computational geometry Discrete random structures Combinatorial algorithms Graph theory and applications His extensive publication record reveals a consistent focus on positional games, with recent work exploring Maker-Breaker games, Avoider-Enforcer games, and Constructor-Blocker games. His research bridges combinatorics, game theory, and computational geometry, with notable contributions to hypergraph coloring, graph searching algorithms, and geometric matchings. He co-authored the seminal book 'Positional Games' (2014) in the Oberwolfach Seminars series. Dr. Stojakovic has received significant recognition including the 'Dr Z. Đinđić Award' for best young scientist in Vojvodina (2008) and the 'Best Student of University of Novi Sad Award' (1998/99). He has successfully mentored three PhD students to completion: Mirjana Mikalački (2014, 'Positional games on graphs'), Marko Savić (2018, 'Efficient algorithms for discrete geometry problems'), and Jelena Stratijev (2023, 'Strong positional games'). His research has been supported by various grants, including the 1 million RSD grant accompanying the Dr Z. Đinđić Award. As head of the Foundations of Computer Science group, Dr. Stojakovic leads research in theoretical computer science and discrete mathematics. He has organized international workshops including multiple editions of the Novi Sad Workshop on Foundations of Computer Science (NSFOCS) and specialized workshops at the Oberwolfach Research Institute for Mathematics.
Miroslav Popović is an academic affiliated with Singidunum University's Faculty of Informatics and Computing . His expertise spans nuclear engineering, materials science, environmental engineering, and medical research. He holds a PhD from the University of California, Berkeley (2013–2017) in Nuclear Engineering, and bachelor's degrees in Physics (2000–2009) and Chemistry (2000–2004) from the University of Belgrade. His research focuses on advanced materials for nuclear applications , environmental sustainability , and medical technologies . Key projects include corrosion studies in liquid metals (e.g., Pb-Bi eutectic), AI-driven waste classification systems, and clinical trials for scoliosis treatments. He has authored/co-authored over 30 peer-reviewed articles and a textbook Prirodni hazard (2024). Recent work highlights: Convolutional neural networks for waste management (2025) Randomized controlled trial for Schroth Method in adolescent scoliosis (2025) Hydrometallurgical recovery of metals from tailings (2024) Structural analysis of tungsten under helium ion irradiation (2022) He collaborates with institutions like UC Berkeley and the Serbian Academy of Sciences. No awards or grants are explicitly listed, though his prolific publication record indicates active research funding.
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.
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.
Angelina Njegus is a Full Professor at Singidunum University , where she has worked since 2005. She holds a Ph.D. in Business Studies and has extensive experience in both academia and industry, including consulting for IBM. Her research focuses on machine learning algorithms , deep learning , and Big Data Analytics , with applications in pattern recognition , tourism technology , and blockchain systems . Bachelor's: Faculty of Organizational Sciences, Information Systems (1994) Master's: Faculty of Organizational Sciences, Industrial Engineering (1999) Doctoral: Faculty of Business Studies (2003) Her recent publications (2023-2025) demonstrate expertise in metaheuristic optimization for machine learning, audio-visual emotion recognition , and cryptocurrency applications in tourism . She pioneered the Virtual University platform (MTVU) and contributes to agile methodologies in software development. Collaborations include projects with researchers from IEEE, Springer, and international institutions. Research interests span AI ethics in human resources , IoT integration in tourism , and security risks in cloud computing . Her work appears in journals like Complex & Intelligent Systems and conferences including ICPR and FG 2017 . She has authored books on software design patterns and information systems in tourism .
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.
Lazar Dražeta is a Professor at Singidunum University , actively contributing to interdisciplinary research across informatics, human resource management, and cultural studies. He holds a PhD in Plant Biology from Massey University (2003) and graduate degrees in Pomology (University of Belgrade, 1996) and Horticulture (University of Belgrade, 1989). As a member of the academic community, he has co-authored works in business analytics, healthcare education, and organizational development. Education PhD in Plant Biology, Massey University (2003) MS in Pomology, University of Belgrade (1996) BS in Horticulture, University of Belgrade (1989) Research Interests span from Artificial Intelligence applications in HR to organizational development in IT sectors , with notable focus on sustainable pharmacy practices and corporate cultural dynamics . His recent publications examine soft skill development, AI integration in recruitment, and digital safety protocols in online environments. Academic Contributions include books like "Regrutovanje i selekcija ljudskih resursa" (2024) and co-authored works on career development (2019). He participates in conferences like Sinteza and FINIZ, exploring topics from metaheuristic algorithms for harassment detection to leadership coaching effectiveness in corporate settings. His collaborative work with institutions such as Ernst & Young Serbia demonstrates attention to organizational identity, while his earlier research on fruit physiology at Massey University reveals a diverse scholarly trajectory bridging natural sciences and social sciences.
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.
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.
