Find Academic Supervisors

• Manufacturing Engineering
• Machining
• Production Engineering
• +3 more

Milenko Sekulić is a Full Professor at the Chair of Machining within the Department of Production Engineering, Faculty of Technical Sciences, University of Novi Sad. He has held this position since 2017 and currently serves as Head of the Chair of Machining (since 2018), following previous roles as Associate Professor (2012-2017) and Assistant Professor (2008-2012) at the same institution. His academic foundation includes a Bachelor's degree (1993), Magister degree (1998), and PhD (2007), all in Mechanical Engineering from the Faculty of Technical Sciences. His educational journey focused on cutting force analysis in milling, development of cutting force calculation models, and determination of drilling forces. Professor Sekulić's research centers on advanced manufacturing engineering, specializing in machining process optimization, thermal analysis, and cutting force prediction. His work integrates fuzzy logic, evolutionary algorithms, and response surface methodology to solve complex problems in electrical discharge machining, abrasive water jet systems, and high-pressure jet assisted turning. Key contributions include energy efficiency models for EDM, surface roughness prediction frameworks, and thermal state optimization in creep-feed grinding. Analysis of his 15 most recent publications reveals a strong trend toward sustainable and intelligent manufacturing solutions. His work consistently addresses material-specific challenges (particularly nickel-based alloys), develops predictive models for machining outcomes, and pioneers hybrid techniques like laser-assisted cutting. The research demonstrates increasing sophistication in combining computational intelligence with traditional manufacturing physics. No scientific awards or fellowships are documented in the available information. Professor Sekulić actively mentors students through thesis supervision and teaching, building on his own academic progression within the institution. His leadership as Head of Chair involves guiding research direction and laboratory activities for the machining group. International collaborations with Slovenian institutions (evident in co-authored publications) highlight his cross-border research engagement. He leads the Chair of Machining research team, which maintains specialized laboratories for conventional and non-conventional machining processes including EDM, water jet systems, and high-pressure jet assisted equipment. Current work focuses on AI-driven process optimization and sustainable manufacturing techniques.

Uroš KrčadinacView profile

Associate Professor

• Software Engineering
• Affective Computing
• Generative Design
• +7 more

Associate Professor Uroš Krčadinac is affiliated with the Faculty of Media and Communications at Singidunum University. He combines expertise from digital art, computer science, and interactive design in his research and teaching. Doctor of Science (PhD) in Software Engineering, Affective Computing, and Generative Design (University of Belgrade) Expert Associate at Design Seminar, Petnica Research Station His research spans interactive design , new media art , data visualization , and human-computer interaction . Recent publications focus on generative design , multi-agent systems , and textual affect recognition . He has contributed to software engineering encyclopedias and developed open-source emotion recognition tools. Scientific Awards include: IDMAA best group project award (2011) Belgrade Chamber of Commerce graduation thesis award (2009) ASIFA diploma for animated film (2007) Pančevo cultural contribution award (2004) Krčadinac teaches Design for New Media , Interactive Design , and Programming for Visual Artists , with over 100 workshops conducted globally since 2007. His work bridges computational methods with artistic expression.

Miroslav BjekićView profile

Professor

• Electrical Power Engineering
• Electric Machines
• Electromechanical Systems Simulation
• +3 more

Miroslav Bjekić is a Full Professor at the Department of Electrical Power Engineering, Faculty of Technical Sciences, University of Kragujevac (Čačak, Serbia). His academic journey includes a PhD (2006) and Master's (1995) from Serbian institutions, with undergraduate studies completed at the Technical Faculty in Čačak (1991). He received academic excellence awards during his studies. His research spans electrical machines, energy efficiency, electromechanical simulation, and renewable energy systems . Key focus areas include: Design and optimization of electric motors/drives Energy-efficient industrial systems Educational technology for engineering Smart grid and distributed generation His publications emphasize experimental validation, simulation tools (GeoGebra, MATLAB), and applied solutions for energy challenges , with consistent themes in motor control efficiency, educational innovation, and sustainable energy integration. Awards/Honors: University of Kragujevac & Technical Faculty Čačak Study Excellence Awards Second Prize, International PhD Seminar (Ohrid, 2005) Leadership & Projects: He modernized laboratories for Electrical Machines/Drives and led national projects like TR33016 on energy efficiency in motor drives. International collaborations include TEMPUS initiatives and DAAD-funded programs. He chaired the Rotating Electrical Machines Standards Committee (Serbian Institute of Standardization, 2012–2017). Educational Development: Created original educational software for electrical engineering and accredited teacher training programs. Supervised laboratory development for remote experiments and industrial collaborations.

• Artificial Neural Networks
• Machine Learning
• Data Mining
• +5 more

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.

• Educational Technology
• E-Learning Systems
• Ontology-Based Assessment
• +5 more

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.

• Artificial Intelligence
• Data Mining
• E-Learning Systems
• +4 more

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.

Darko B. MiticView profile

Professor

• Automation
• Control Systems
• Electronics Engineering
• +3 more

Darko B. Mitic is a Full Professor at the Faculty of Electronics in Niš, University of Nis, specializing in Automation. He earned his PhD in Automation from the same institution in 2006, following a Master's (1997) and undergraduate degree (1992) in Automation. His career includes roles as Associate Professor (since 2016) and Professor (since 2021). Research focuses on control systems, sliding mode control, and automation technologies. Notable contributions include work on microcontroller-based boost converters, model predictive control, and automotive safety systems like ABS. He has authored over 13 peer-reviewed papers and participates in 2 national and 1 international research projects. His publications span journals such as IEEE/ASME Transactions on Mechatronics, International Journal of Electronics, and Journal of Circuits, Systems and Computers. Projects emphasize practical applications of control theory in electronics and mechanical systems.

• Parallel Computing
• Systolic Arrays
• Matrix Computations
• +3 more

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.

• Semantic Web
• Collaborative Systems
• Information Systems
• +3 more

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.

Ilija N. CvijeticView profile

Assistant Professor

• Computational Chemistry
• Molecular Modeling
• QSAR Studies
• +3 more

Ilija N. Cvijetic is an Assistant Professor at the Department of Analytical Chemistry, Faculty of Chemistry, University of Belgrade, Serbia. His academic journey began with undergraduate studies (2004-2008) followed by doctoral studies (2008-2016), both at the University of Belgrade Faculty of Chemistry. After progressing through positions as Graduate Researcher, Associate Researcher, and Scientific Associate at the Innovative Centre of the Faculty of Chemistry, he became Assistant Professor in 2022. His research focuses on computational chemistry, molecular modeling, and drug design , with specific expertise in QSAR studies and the experimental and computational analysis of pharmacokinetic parameters of biologically active compounds. His work spans multiple disciplines including medicinal chemistry, analytical chemistry, and bioactive compound research, with emphasis on small molecules based on arydiketoacids scaffold. The analysis of his 15 most recent publications reveals a strong interdisciplinary research program spanning computational chemistry, natural product research, green chemistry, and pharmaceutical sciences . His recent work shows increasing focus on sustainable extraction methods using Natural Deep Eutectic Solvents (NADES), computational drug design, and the development of novel bioactive compounds with antimicrobial and antioxidant properties. His research demonstrates a consistent integration of experimental and computational methodologies across diverse scientific domains. Cvijetic actively participates in multiple research projects, including the SKIN ANTI-AGEING POTENTIAL OF RUSSIAN AND SERBIAN MEDICINAL PLANTS (SAPORUS) project funded by the Science Fund of the Republic of Serbia, and has contributed to projects related to molecularly imprinted polymers and propolis extracts for immune system enhancement. His work demonstrates strong interdisciplinary collaboration across chemistry, biology, and environmental science disciplines. At the University of Belgrade Faculty of Chemistry, he teaches Analytical Chemistry 1, Analytical Chemistry 3, and Analytical Chemistry Labwork courses, contributing to both undergraduate and graduate education in analytical chemistry. His research group applies advanced computational and experimental techniques to solve problems in drug discovery, environmental chemistry, and materials science.

• Intellectual Capital
• Innovation Management
• Knowledge Management
• +3 more

Slađana Čabrilo is a Full Professor of Engineering Management at Singidunum University in Belgrade, Serbia. She holds a Ph.D. from the University of Novi Sad, specializing in Industrial Engineering and Engineering Management. With over 20 years of academic experience across Europe and Asia, her research focuses on intellectual capital, innovation, and digital transformation, particularly in emerging economies. She has published in top journals like the Journal of Business Research and European Management Review , and edited Springer volumes on intellectual capital futures. Education: Doctorate: Industrial Engineering and Engineering Management, University of Novi Sad (2005–2008) Master's: Electrical Engineering/Computer Technology and Systems Management, University of Novi Sad (1993–1996) Bachelor's: Electrical Engineering/Computer Technology and Systems Management, University of Novi Sad (1990–1993) Research Interests: Her work bridges business, innovation, and technology, emphasizing knowledge management, open innovation, and complexity theory. She pioneered using configurational analysis and fsQCA to study IC-organizational performance links. Awards: Research recognized as 'most prestigious across knowledge clusters' in top journals. Co-editing Springer's Futurizing Intellectual Capital (2024). Professional Roles: Associate Editor, VINE Journal of Information and Knowledge Management Systems Member, New Club of Paris (global knowledge economy network) Editorial board roles across multiple journals and conferences She advises on digital transformation strategies and has contributed to global debates on IC theory evolution and practical applications in knowledge-driven economies.

Miroslav PopovićView profile

Researcher

• Nuclear Engineering
• Materials Science
• Environmental Engineering
• +3 more

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.

• Computer Engineering
• Internet of Things (IoT)
• Human-Computer Interaction
• +7 more

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.

• Signal Processing
• Telecommunications
• Quantization
• +12 more

Jelena Nikolic is an Associate Professor in the Department of Telecommunications at the Faculty of Electronics, University of Niš, Serbia. She has been a core faculty member since earning her PhD in 2011 and was promoted to Assistant Professor in 2014 and Associate Professor in 2020. Her academic work is deeply rooted in signal processing, quantization theory, and data compression, with expanding interests in machine learning applications for communications. Research Interests: Her primary research areas include quantization , data and signal compression , approximations of the Q-function , and neural network weight compression . She applies these to telecommunications, digital signal processing, and emerging AI-driven communication systems. Her work bridges theoretical analysis with practical implementation, particularly in companding quantizers, polar quantization, and adaptive coding schemes. Publication Trends: Her recent publications (2020–2022) show a clear evolution toward integrating machine learning with classical signal processing, especially in post-training quantization of neural networks and AI-based compression. Earlier works (2013–2018) focus on theoretical foundations of quantization for Gaussian and Laplacian sources, with rigorous mathematical modeling and performance analysis. The consistent use of terms like 'companding', 'scalar quantizer', 'Gaussian source', and 'SQNR' reflects a strong foundation in information theory and digital communications. Scientific Awards: Prof. Dr. Ilija Stojanović Award (2017) – Best professional work in telecommunications Advising and Grants: She has mentored 2 master’s and 2 diploma students. She has participated in 10 major research projects funded by the Ministry of Education and Science of Serbia, Erasmus+, Norwegian Ministry of Foreign Affairs, and the Science Fund of Serbia, including projects on software-defined radio, dialogic systems, and AI-based quantization (Com-in-AI). She has also served on numerous academic committees for thesis defense, hiring, and academic evaluation across multiple institutions. Labs and Teams: While no specific lab name is mentioned, her involvement in experimental and computational work—such as laboratory exercises in acoustics, signal processing, and VoIP, as well as MATLAB-based practicals—indicates active participation in teaching and research labs at the Faculty of Electronics. She has collaborated extensively with Prof. Zoran Perić and others in the telecommunications group, forming a strong research team focused on quantization and compression.

Mladen FurtulaView profile

Associate Professor

• Woodworking Machinery
• Energy in Wood Industry
• Occupational Safety
• +3 more

Mladen Furtula is an Associate Professor at the Faculty of Forestry, University of Belgrade , Department of Wood Processing. His research focuses on woodworking machinery , energy in the wood industry , occupational safety , and wood biomass utilization . B.Sc. and Ph.D. from the Faculty of Forestry, University of Belgrade. Employment history: Assistant-Trainee (2003), Assistant (2011), Assistant Professor (2014), Associate Professor (2020). His research interests include: Development and optimization of CNC woodworking machines and reconfigurable systems . Energy efficiency and CO2 emission reduction in wood pellet production. Acoustic emission analysis for cutting force and surface roughness monitoring. Thermal modification of wood and its impact on color and surface properties . Publication trends highlight his work on wood biomass for decarbonization, precision in CNC machining , and sustainable energy strategies in the wood industry. He has contributed to conferences and journals like BioResources , Thermal Science , and Wood Research . He teaches courses on internal transport , energy in wood industry , and numerically controlled machines , with a focus on professional practice and safety.