جست‌وجوی استاد و پژوهشگر

• Databases
• Information Systems
• Data Mining
• +۴ مورد دیگر

Katarina Karic serves as a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences, University of Kragujevac, where she teaches core courses including Databases, Database Practicum, Database Programming, and Introduction to Programming. Her academic journey began locally in Čačak, Serbia, where she was born on October 6, 1996. Her educational background demonstrates exceptional academic performance: Bachelor's Degree (2019): Faculty of Technical Sciences in Čačak, Department of Information Technology, Software Engineering module (average grade 8.93) Master's Degree (2020): Same institution, Information Technology department, Engineer module (perfect average grade 10.00) Doctoral Studies (2020-present): Faculty of Technical Sciences in Čačak, Department of Information Technology Dr. Karic's research spans multiple interconnected domains centered around data-driven technologies. Her primary expertise lies in database systems and their educational applications, evidenced by her development of the CATAPEX tutorial for database practice courses. She has significantly contributed to educational data mining, analyzing user logs from e-learning systems and applying opinion mining techniques to programming education. Her methodological expertise includes comparative analysis of regression methods and tools for prediction tasks across diverse domains including student performance, newborn demographics, and hotel reservation patterns. She also examines standardization frameworks in emerging technologies like IoT, AI, and data mining through comparative analysis of ISO/IEC and IEEE standards. Her publication record shows consistent output with 14 peer-reviewed conference papers between 2020-2024, demonstrating methodological diversity across computer vision applications in medical diagnostics, bibliometric analyses of niche tourism sectors, and predictive modeling in business contexts. The interdisciplinary nature of her work connects computer science with education, healthcare, tourism, and business management. Her scientific recognition includes: Vuk Karadžić diploma from elementary school Multiple Oracle professional certifications (Database Design, SQL Programming, PL/SQL, Application Express) EDIT Certificate from Comtrade European Training Academy Certificate for Horizon Europe project development Dr. Karic actively contributes to academic governance and community building through her participation in the Self-Assessment Commission, accreditation documentation teams for both doctoral and undergraduate programs, and as a member of organizing committees for the international Technics and Informatics in Education conferences (TIE 2022, TIE 2024). She also serves on expert juries for student competitions like HAKATON CODE 0:32 and participates in faculty promotion initiatives. Her research projects include a Ministry of Education grant for young researchers and an India-Serbia Cooperation Program focusing on adaptive methods for channel equalization in NOMA systems. Her work bridges theoretical research with practical applications, particularly in educational technology where she develops tools to enhance database instruction while simultaneously studying the effectiveness of these approaches through data-driven methods.

Snezana Dragićevićمشاهده پروفایل

استاد

• Thermal engineering
• Renewable energy
• Energy efficiency
• +۷ مورد دیگر

Dr. Snezana Dragićević is a Full Professor at the Department of Mechanical Engineering , Faculty of Technical Sciences in Čačak , University of Kragujevac , Serbia. She holds a PhD in Thermal Engineering and has led over 15 research projects focused on energy systems and renewable technologies. BSc and MSc in Thermal Engineering from University of Belgrade and University of Kragujevac Doctoral research on solar wall optimization at Technical Faculty Zrenjanin Her research spans thermal engineering , solar technology , energy informatics , and artificial intelligence applications in energy systems . She has published over 140 papers in journals like Computers & Industrial Engineering and Journal of Metalurgija , with recent works analyzing solar radiation prediction via machine learning and thermo-hydraulic performance of solar water heaters. As a member of the Faculty Innovation Incubator , she drives technology transfer initiatives in renewable energy and sustainable engineering. Current collaborative projects include the EU PRO Plus Programme for smart growth in metal sector SMEs and the Science-Technological Cooperation Serbia-China on 5G surveillance systems. Her work integrates hydrometeorological modeling , industrial process simulation , and energy efficiency metrics for educational and commercial applications.

• Management
• Operations Research
• Decision Support Systems
• +۳ مورد دیگر

Prof. Dr. Zoran Nešić is a Full Professor at the Department of Industrial Management, Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over 30 years of professional experience in academia and industry, he has established himself as a leading expert in management, operations research, and decision support systems. Nešić earned his B.Sc. in Production Engineering and Organization from the Faculty of Mechanical Engineering at the University of Kragujevac in 1992, followed by his M.Sc. in Informatics and Computer Science Methodology in 2000, and his Ph.D. in 2008 with a dissertation on 'Contribution to the application of Internet technology in the management information system based on interactive analytical processing.' Professor Nešić's research primarily focuses on management and operations research , with particular expertise in multi-criteria decision making, business intelligence, and information systems. His work bridges theoretical frameworks with practical applications in industrial management, contributing significantly to optimization methodologies in production planning, resource allocation, and strategic decision-making processes. He has developed numerous software solutions for production monitoring, capacity utilization, and investment project selection, demonstrating his commitment to translating research into tangible business improvements. An analysis of Professor Nešić's recent publications reveals a consistent focus on applying advanced computational methods to management problems. His work increasingly integrates neuro-fuzzy systems , machine learning , and multi-criteria decision analysis to address complex industrial challenges. Recent research spans diverse applications including production optimization, environmental protection decision-making, structural engineering analysis, and resource management, demonstrating the versatility and applicability of his methodological approaches. Professor Nešić has served as a mentor for two doctoral dissertations and has participated in numerous research projects funded by the Ministry of Education and Science of the Republic of Serbia. His involvement in selection committees for academic positions demonstrates his standing within the academic community. Throughout his career, he has secured continuous research funding, with projects spanning from 2011 through 2025, reflecting sustained scholarly productivity and relevance. His technical expertise extends to the development of practical software solutions, with multiple technical solutions adopted by the Faculty of Technical Sciences in Čačak. These include applications for production cycle optimization, capacity utilization analysis, and multi-criteria decision support, demonstrating his ability to translate theoretical research into practical tools for industry.

• Engineering Management
• Information Systems
• Environmental Management
• +۵ مورد دیگر

Miloš Ž. Papić is a Full Professor at the Department of Industrial Management within the Faculty of Technical Sciences, University of Kragujevac, specializing in Engineering Management. His academic career spans multiple domains including information systems, environmental management, and entrepreneurship education. As an active researcher and educator, he teaches courses ranging from Introduction to Management and Entrepreneurship Basics to Information Systems and Decision Support Systems across undergraduate, master's, and doctoral programs. Bachelor's in Industrial Management (2009), Faculty of Technical Sciences, Čačak Master's in Technics and Informatics (2010), Faculty of Technical Sciences, Čačak PhD in Engineering Management (2015), Technical Faculty in Bor, University of Belgrade Professor Papić's research interests focus on the intersection of information technology and management systems, with particular expertise in multi-criteria decision-making methods applied to environmental management, tourism, and educational contexts. His work bridges theoretical frameworks with practical applications in regional development, particularly in the Moravica District of Serbia. He has made significant contributions to understanding how information systems can enhance educational processes and support sustainable development initiatives. His publication record shows a clear trajectory toward increasingly sophisticated applications of decision-making methodologies across diverse fields. Recent work demonstrates growing emphasis on tourism management applications, particularly analyzing IT competencies in hospitality education and developing frameworks for multi-criteria decision-making in tourism contexts. His research consistently connects theoretical approaches with practical regional development challenges. Professor Papić serves on the City Council of Čačak for education, science, and culture, where he has contributed to cultural initiatives including the 'Culture Čačak' portal and the 'Čačak Native' cultural strategy. His work reflects strong commitment to connecting academic research with community development. As an educator, he has developed numerous teaching materials including university textbooks on information systems and practical guides. He has also created primary school informatics textbooks published by Vulkan Znanje and has conducted professional development seminars for teachers on hypermedia in education and cloud-based programming instruction.

• Computer Engineering
• Biomedical Informatics
• Ontology Development
• +۵ مورد دیگر

Dr. Vanja Luković is an Associate Professor in the Department of Computer and Software Engineering at the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over two decades of academic experience, she has established herself as a prominent researcher in the intersection of computer engineering and biomedical applications, particularly in the development of innovative diagnostic systems for spinal deformities. Her educational background includes a Doctorate in Technical Sciences (2015) with a dissertation on "Ontologically based information system for diagnosing and monitoring spinal deformities," a Master's degree in Electrical Engineering (2007) focusing on visualization systems, and a Bachelor's degree in Electrical Engineering with specialization in Industrial Energy (2000). Dr. Luković's research spans multiple domains including biomedical informatics, ontology development for medical applications, digital circuit design, and educational technology. Her work demonstrates a consistent focus on applying computer engineering principles to solve real-world medical challenges, particularly in the area of scoliosis diagnosis and monitoring. She has pioneered the development of the ScolioMedIS system, a web-based information system for non-invasive 3D visualization and monitoring of spinal deformities. Her publication record reveals a strong trajectory in both medical informatics and computer engineering, with recent work expanding into AI applications for medical diagnostics, data storage optimization, and educational technology. The evolution of her research shows a natural progression from foundational work in ontology development to more applied research in medical diagnostics and educational tools. The first MIMICS INNOVATION AWARD 2016 for the EMEA region awarded by Materialise (Leuven, Belgium) The 3rd place for the early-stage StartUp: ScolioMedIS at the 2nd SwissBioLabs Start-Up Challenge "Diagnostics goes digital" Dr. Luković has led and participated in numerous research projects funded by Serbian Ministry of Science and international collaborations including TEMPUS projects. Her work on remote laboratories for educational purposes has significantly impacted computer engineering education. She has also contributed to multiple textbooks and manuals for digital circuit design education, demonstrating her commitment to pedagogical innovation. Her laboratory work primarily focuses on the Computer Science Laboratory at the Faculty of Technical Sciences, where she has developed remote experiment platforms for digital circuit design education and the ScolioMedIS system for medical applications.

• Electronic Learning
• Ontology-Driven Assessment
• Educational Technologies
• +۶ مورد دیگر

Dr. Maјa Radović is an Assistant Professor in the Department of Information Technologies at the Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. She has been working at this institution since September 2008, specializing in Information Technologies and Systems. She was born on May 4, 1980 in Čačak, Serbia. She completed her elementary education at Buk Karadžić Elementary School and attended the Social and Linguistics Department at Grammar School in Čačak, graduating in 1999. She enrolled at the Faculty of Technology in Čačak in 2003, majoring in Technology and Informatics, and graduated on February 18, 2008, with an impressive grade point average of 9.44 and a perfect score of 10 on her diploma thesis. She earned her doctoral degree on October 17, 2024, with a thesis titled 'Ontology-guided student testing in e-learning' from the Faculty of Electronics in Niš, in the field of Computing and Informatics. Dr. Radović's research spans several interconnected areas in information technology and education. Her primary focus is on electronic learning systems, where she investigates the application of virtual environments like Sloodle for course delivery and assessment. She has made significant contributions to ontology-driven learning assessment, particularly in medical education. Her work also extends to database systems, multimedia applications, and the use of 3D technologies in educational contexts. She has been instrumental in developing e-learning curricula and assessment methodologies that enhance educational outcomes. Her recent publications demonstrate a clear trajectory toward integrating advanced technologies like ontologies, 3D printing, and virtual environments into educational frameworks. She has increasingly focused on assessment methodologies in e-learning, particularly using Script Concordance Tests and ontology-driven approaches. Her work bridges computer science, educational technology, and medical education, creating innovative solutions for complex teaching challenges. She has received notable recognition for her academic excellence, including the prestigious 'Dr. Milivoje Urošević' Foundation Award for being the best graduate student in the 2007/2008 academic year. Dr. Radović has been actively involved in numerous significant research projects. She participated in international TEMPUS projects focused on e-Learning curriculum development. She contributed to the WUS MSDP project 'MSc in eLearning: e-moderating Module' and the international TEMPUS project 'Enhancing the quality of distance learning at Western Balkan higher education institutions' (DL@WEB). She was also involved in the Ministry of Science and Technological Development project 'Application of Biomedical Engineering in Preclinical and Clinical Practice.' More recently, she participated in United Nations Development Program (UNDP) initiatives titled 'Serbia on Your Fingertips – Digital Transformation for Development,' focusing on IT requalification programs. Her work extends to laboratory settings where she applies her research in practical educational contexts, particularly in computer science laboratories and virtual learning environments.

• Applied Mathematics
• Econometrics
• Electrical Engineering
• +۷ مورد دیگر

Dr. Dušan Joksimović is a Serbian academic and researcher born on September 28, 1966, in Belgrade. A full professor at the Criminalistics and Police University since 2014, he has taught at institutions including Megatrend University (2001–2014) and the Institute of Physics (1991–2001). He earned his Ph.D. in Electrical Engineering from the University of Belgrade in 2001, specializing in plasma focus radiation analysis. Bachelor of Electrical Engineering (University of Belgrade, 1991) Master of Electrical Sciences (University of Belgrade, 1996) Doctor of Electrical Engineering (University of Belgrade, 2001) His research spans applied mathematics, plasma physics, laser technology, and artificial intelligence, with over 70 publications (16 on SCI-listed journals). He has mentored three graduate students and contributed to curriculum development and accreditation processes across Serbian universities. Key projects include designing laser rangefinders for military vehicles, spectral analysis of cosmic muons, and developing models for atmospheric pollutant detection. He has also served on editorial boards and accreditation commissions, including leading the accreditation of KPU's Informatics and Computing programs. Dr. Joksimović's pedagogical excellence is evidenced by student evaluations averaging 4.49–4.84/5.00, and he has taught over 10,000 students across institutions like Megatrend University, Faculty of International Economy, and Faculty of Computing Sciences.

• Computing and Informatics
• Technological Sciences
• Mechanical Engineering
• +۳ مورد دیگر

Aleksandra Vulović is a Scientific Associate at the Faculty of Engineering , University of Kragujevac, Serbia. She is affiliated with the Department for Applied Mechanics and Automatic Control , specializing in Technical-Technological Sciences with a focus on Computing and Informatics. Her research interests align with automation, control systems, and engineering technology. She was elected to her current position on 23 March 2023. Office: А-I-28А Contact: +381 34 335 990 No specific awards or publications are listed in the provided text, though her profile links to a SciDAR repository for further details.

• Automation and mechatronics
• Applied informatics
• Computer engineering

Jasna Radulović is a Professor at the Department of Electrical Engineering and Computer Science within the Faculty of Engineering at the University of Kragujevac, Serbia. Her research focuses on automation, mechatronics, applied informatics, and computer engineering. She was elected to her position on September 29, 2011. Professor Radulović maintains office D-18 and can be contacted via phone or email. Her scientific contributions are documented in the SciDAR repository, though no specific publications, awards, or student advisement details are provided in the available information.

Miroslav Živkovićمشاهده پروفایل

استاد

• Applied Mechanics
• Applied Informatics
• Computer Engineering
• +۵ مورد دیگر

Miroslav Živković is a Professor at the Faculty of Engineering of the University of Kragujevac, Serbia. He holds a chair in Applied Mechanics and Automatic Control within the Department of Applied Mechanics and Automatic Control. His academic career focuses on computational mechanics, materials science, and structural analysis. Research interests include finite element method (FEM) applications, phase-field modeling of damage in materials, fluid dynamics simulations, and fatigue analysis of metallic alloys. He leads projects involving software development for engineering analysis tools, such as PAKF-Turbulent and SPH-LifeCycle. His publications emphasize structural health monitoring, material behavior under cyclic loading, and numerical methods for solving complex engineering problems. He collaborates on interdisciplinary projects combining mechanical engineering, computer science, and applied informatics. Key contributions include: Development of advanced FEM solvers for dam safety and industrial applications Experimental and computational studies on ductile fracture in steels and aluminum alloys Phase-field modeling of shape memory alloys and fatigue degradation Software tools for automated testing and parameter identification in engineering systems His work bridges theoretical mechanics with practical engineering solutions, addressing challenges in structural integrity, material durability, and computational modeling.

Nenad Grujovićمشاهده پروفایل

استاد

• Applied Mechanics
• Applied Informatics
• Computer Engineering
• +۳ مورد دیگر

Nenad Grujović is a Professor and Chair of the Department of Applied Mechanics and Automatic Control at the Faculty of Engineering, University of Kragujevac. His primary affiliation is with the Department of Applied Mechanics and Automatic Control within the Faculty of Engineering. He has held this academic position since January 25, 2007. His research focuses on Applied Mechanics , Applied Informatics , and Computer Engineering . These fields involve interdisciplinary work in mechanical systems design, automation technologies, and computational methods for engineering applications. Professor Grujović's contact details include office location А-II-29 and phone numbers +381 34 335990 (ext. 676) and +381 34 304710. His academic contributions are documented in the SciDAR publications and SciDAR bibliography repositories.

Nenad Filipovićمشاهده پروفایل

استاد

• Applied Mechanics
• Applied Informatics and Computer Engineering
• Materials Science
• +۳ مورد دیگر

Nenad Filipović is a Professor at the Faculty of Engineering, University of Kragujevac, Serbia. He holds a position in the Department of Applied Mechanics and Automatic Control. His research focuses on applied mechanics, applied informatics, and interdisciplinary materials science, with particular emphasis on metal complexes, nanotechnology, and biomedical applications. His work spans structural chemistry, nanomaterial synthesis, and their applications in cancer therapy, antimicrobial agents, and energy storage systems. He has contributed to over 50 peer-reviewed articles since 2020, with notable studies on selenium nanoparticles, hydrogen storage materials, and computational methods in engineering education. Education: Formal academic qualifications not explicitly listed in text. Research Interests: Professor Filipović’s work integrates materials design with engineering applications. He explores the synthesis and characterization of novel inorganic complexes (e.g., Zn, Cd, Cu complexes) and their biological activities. His research also addresses environmental challenges through nanotechnology, including antimicrobial nanoparticles and microplastic toxicity studies. Recent projects involve computational modeling for energy systems and biomaterials optimization. Key Article Trends (2020–2024): His publications emphasize nanomaterial synthesis (e.g., selenium/ resveratrol composites), cancer drug design via metal complexes, and hydrogen storage materials. He frequently employs X-ray crystallography, DFT simulations, and in vitro biological assays to validate findings. Advising & Grants: No explicitly listed students or grants, though his collaborative research networks suggest involvement in multi-institutional projects (e.g., with centers in Serbia, EU, and China). Labs & Teams: Associated with biomaterials and materials science research groups at the Faculty of Engineering, contributing to initiatives like selenium nanoparticle stabilization and AI-driven material design.

Vesna Rankovićمشاهده پروفایل

استاد

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

Vesna Ranković is a Professor at the Department of Applied Mechanics and Automatic Control, Faculty of Engineering, University of Kragujevac, Serbia. Her scientific expertise spans Automation and Mechatronics, Applied Informatics, and Computer Engineering. She holds a chair in Applied Mechanics and Automatic Control and is affiliated with the Faculty’s organizational structure, including the Dean's Office. Her research interests focus on interdisciplinary topics such as control systems, mechanical engineering applications, and advancements in mechatronics. While specific publications are referenced via SciDAR, no detailed article listings are provided in the text. No scientific awards or grants are explicitly mentioned. Contact details include office C-84 and phone extension 631. She contributes to the Faculty’s academic and administrative roles, though specific advising or lab affiliations are not elaborated in the provided data.

• Applied Informatics in Engineering
• Biomedical Engineering
• Machine Learning
• +۳ مورد دیگر

Tijana Geroski is an Assistant Professor at the Faculty of Engineering, University of Kragujevac, Serbia, affiliated with the Department of Applied Mechanics and Automatic Control. Her work integrates applied informatics in engineering with biomedical applications, focusing on machine learning, medical imaging, and computational modeling. She contributes to interdisciplinary research through platforms like SGABU, designed to bridge education and research in multiscale modeling. Her research spans topics such as predictive modeling for cardiovascular diseases, AI-driven diagnostic systems (e.g., lung and spine imaging analysis), and simulation tools for personalized medicine. Notable projects include developing FPGA-based expert systems for disc hernia diagnosis and optimizing drug delivery via computational fluid dynamics. She also explores the intersection of big data, materials science, and epidemiological modeling, particularly in the context of the SARS-CoV-2 pandemic. Her articles emphasize interdisciplinary collaboration, coupling experimental data with numerical simulations. Recent work highlights advancements in transfer learning for medical imaging, physics-driven deep learning for thermal modeling, and FPGA implementations of Bayesian diagnostic systems. These contributions underscore her commitment to advancing healthcare through computational and AI-based solutions. She collaborates actively with institutes like SARTIK (Steinbeis Advanced Risk Technologies Institute) to enhance biomaterial risk assessment and in-silico clinical trials. Her teaching and research roles reflect a dedication to both academic innovation and practical biomedical engineering applications.

Ivan M. Petkovicمشاهده پروفایل

استاد

• Computer Science
• Web Technologies
• Numerical Methods
• +۳ مورد دیگر

Professor Ivan M. Petkovic holds the position of Full Professor at the Department of Computing and Informatics, Faculty of Electronics in Niš, University of Niš. He earned his PhD in 2012 from the same institution in Electrical Engineering and Computer Science, following a Master’s (2006) and Bachelor’s (2001) degree in the same field. His academic career includes election to assistant trainee and full professorship in 2022. Education PhD in Electrical Engineering and Computer Science, Faculty of Electronics, University of Niš (2012) Master’s in Electrical Engineering and Computer Science, Faculty of Electronics, University of Niš (2006) Bachelor’s in Electrical Engineering and Computer Science, Faculty of Electronics, University of Niš (2001) Research Interests Professor Petkovic’s research focuses on computational mathematics, numerical methods, and software engineering. His work bridges theoretical advancements with practical applications, including web security, e-science platforms, and mathematical software development. Notable contributions include web-based laboratories, error-bound algorithms for polynomial zeros, and tools for root-finding methods. Publications & Activities His publications span journals and conferences, emphasizing interdisciplinary applications of computational techniques. Current participation includes 1 national and 1 international project, reflecting active engagement in collaborative research. Awards & Grants No specific awards or grants are listed in the provided materials. His projects and publications highlight sustained academic contributions. Labs & Teams While specific lab affiliations are not detailed, his work suggests involvement in computational and software engineering teams at the Faculty of Electronics.