جست‌وجوی استاد و پژوهشگر

Lazar Kopanjaمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Shape Analysis
• +۴ مورد دیگر

Lazar Kopanja serves as Associate Professor and Acting Dean of the Faculty of Information Technologies at Alfa BK University in Belgrade, Serbia, a position he has held since 2017. His interdisciplinary work bridges computer science and materials engineering with significant contributions to nanomaterials characterization. His educational foundation includes: Bachelor's degree in Computer Science from the Faculty of Science and Mathematics, University of Novi Sad Master's degree in Mathematics Teaching Methodology from the same institution Doctorate in Magnetic Properties of Nanoparticles from the University of Belgrade's Faculty of Technology and Metallurgy Dr. Kopanja's research centers on computational shape analysis and image processing , developing algorithms for quantifying nanoparticle morphology in TEM and confocal microscopy. His work has pioneered novel circularity and ellipticity measures for complex nanostructures, with applications spanning magnetic materials, biomedical imaging, and nanomedicine. The integration of computer geometry with materials science represents his signature interdisciplinary approach. Analysis of his 13 SCI-indexed publications reveals a consistent trajectory from foundational shape orientation algorithms (2005-2006) toward applied nanomaterials characterization (2016-2018), increasingly incorporating biological systems. His recent work demonstrates sophisticated fusion of image processing with magnetic property analysis in hematite and iron oxide nanostructures. As project manager for bilateral Serbia-Slovakia and Serbia-Belarus research initiatives, he has secured international funding for collaborative work in nanoparticle synthesis and characterization. His technical leadership extends to mentoring high school students for programming competitions and developing web applications through industry partnerships.

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

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

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

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

Nikola Stanićمشاهده پروفایل

مدرس

• Computer Vision
• Software Engineering
• Artificial Intelligence
• +۲ مورد دیگر

Nikola Stanić serves as a Teaching Assistant at the Department of Information Technologies, Faculty of Technical Sciences, University of Kragujevac, where he has held academic positions since February 2021. His institutional affiliation includes active teaching duties across multiple technical disciplines at this Serbian research-intensive faculty. His academic credentials feature: Master of Academic Studies in Information Technology (2022, avg. grade 10.0) from University of Kragujevac with thesis on "Software Quality Management Using the Example of an Application for the Police Department" Bachelor of Academic Studies in Information Technology (2021, avg. grade 9.50) from same institution with thesis on "Example of Developing a Digital Game Using Unreal Engine Software" Technical secondary education in Computer Electrical Engineering from "Kolubara" School in Lazarevac Stanić's research focuses on the intersection of computer vision and practical software engineering, with significant contributions to medical diagnostics through YOLO-based detection systems for skin cancer and kidney stones. His work extends to public safety applications via real-time fire/smoke identification algorithms and explores Kotlin multiplatform development frameworks. Early career research included statistical modeling for demographic forecasting in regional healthcare planning, demonstrating methodological versatility across computer science subfields. His publication trajectory reveals concentrated expertise in deep learning applications (75% of recent work), particularly object detection systems adapted for medical and safety-critical domains. The remaining publications address software engineering challenges in cross-platform development and statistical prediction models, indicating a research program bridging theoretical computer science with societal applications in healthcare and public safety. While no scientific awards are documented, Stanić actively contributes to academic instruction through exercises in Programming Languages, Advanced Object-Oriented Programming, Software Testing, Mobile Application Development, and Databases. His teaching portfolio extends to programming instruction for children (ages 6-18) at Logiscool Srbija and online Serbian language tutoring, though no research grants or graduate student supervision are indicated. He operates within the Computer Science Laboratory infrastructure at the Faculty of Technical Sciences in Čačak, which supports his computational research through specialized equipment and collaborative environments for vision-based algorithm development and software engineering projects.

• Industrial Engineering
• Quality Management
• Manufacturing Systems
• +۳ مورد دیگر

Tijana Petrović is a Researcher at the Faculty of Engineering of the University of Kragujevac , Serbia. She is affiliated with the Department of Production Engineering , focusing on technical and technological sciences, particularly industrial software applications. Her work bridges theoretical research with practical industrial challenges, emphasizing quality management, manufacturing processes, and Industry 4.0 integration. She holds the scientific field designation in Technical-Technological Sciences and specializes in Industrial Software. Her research interests span Industrial Engineering , Quality Management , and Information Technology in Industry , with a focus on optimizing manufacturing systems, enhancing business excellence through data-driven models, and leveraging digital tools for real-time quality control. She has contributed to advancing methodologies like FMEA, Fuzzy Analytic Hierarchy Process, and MOORA for decision-making in complex industrial environments. In Industry 4.0 , her work explores JavaScript MEAN stack applications for real-time nonconformity management in SMEs, aligning quality control with modern digital transformation. Her studies also address sustainability in manufacturing, including recycling technology evaluation and the impact of quality management on SME resilience. Her scientific contributions include over 20 publications across journals and conferences, emphasizing multi-criteria decision analysis, fuzzy logic models, and process optimization. She actively participates in scientific projects and is part of the University’s academic community, contributing to both research and institutional development.

• Object-Oriented Programming
• Algorithms
• Computer Science
• +۳ مورد دیگر

Александар Купусинац is a Full Professor at the Department of Applied Computing Sciences within the Faculty of Technical Sciences, University of Novi Sad. He holds roles including Deputy Dean for Teaching since 2020. His expertise spans Object-Oriented Programming (C++, Java, C#), Algorithm Theory, and Software Engineering. Education: Completed Bachelor's in Electrical Engineering and Computing (2005, GPA 9.71), Master's in Applied Mathematics (2008), and PhD in Dynamical Postulates Analysis (2010). Awards include the prestigious Milena Maric-Ainstein Award and a Norwegian Government Scholarship. Teaching: Leads courses on Object-Oriented Programming and Advanced Software Design. Research focuses on algorithm optimization, programming paradigms, and mathematical foundations of computing. Key Achievements: 15+ years of academic service, 50+ teaching hours annually Labs/Teams: Member of Programming Languages Research Group

• Chemical Education
• Science Education
• Curriculum Development
• +۳ مورد دیگر

Biljana I. Tomasevic is an Assistant Professor at the Faculty of Chemistry, University of Belgrade , affiliated with the Department of Chemical Education. She has been with the institution since 1996, progressing from Junior Associate to her current position. Her work focuses on enhancing chemistry education through curriculum development, teaching methodologies, and educational policy analysis. Dr. Tomasevic holds a PhD in Chemistry (2015) from the University of Belgrade, following her Master's (2002) and undergraduate studies (1995) in the same field. She has extensive experience in educational committees, including roles in admissions, self-evaluation, and exam recognition committees from 2016 to 2022. Her research interests emphasize chemical education , including curriculum design, teacher training, and inquiry-based learning. She has contributed to understanding chemistry teachers' curricular knowledge and the evolution of chemistry education programs in Serbia. Key areas include creativity in teaching, lesson planning, and assessment methodologies in STEM education. Her publications reflect a focus on pedagogical innovation and historical perspectives in chemistry education. She has participated in national research projects, including a 2011 project funded by the Serbian Ministry of Science. Dr. Tomasevic is an ORCID-registered researcher (ID: 0000-0002-6255-9171) with Scopus and ResearcherID profiles.

Goran Kekovićمشاهده پروفایل

دانشیار

• Data Processing
• Artificial Intelligence
• Biosignal Analysis
• +۷ مورد دیگر

Dr. Goran Keković is an Associate Professor at the Faculty of Information Technologies, Alfa BK University, Serbia. He teaches structural and object-oriented programming, operating systems, and contributes to research in data processing and artificial intelligence. His academic journey began at the Faculty of Physics, University of Belgrade, followed by master's and doctoral studies at the Faculty of Electrical Engineering, University of Belgrade (2008). Education Undergraduate: Faculty of Physics, University of Belgrade Master's/PhD: Faculty of Electrical Engineering, University of Belgrade (2008) His research focuses on data processing, biosignal analysis (EEG), and neural network studies, with a theoretical model for charge transport in polymers and contributions to neurobiological disorder markers. He has participated in three Ministry of Science-funded projects related to medical data, AI applications, and signal analysis, achieving 43 publications, 154 citations, and an H-index of 7. His current work emphasizes artificial intelligence integration in data processing and cortical network dynamics. No specific scientific awards are listed, but his research has consistently been supported by national grants.

Milan G. Đorđevićمشاهده پروفایل

استادیار

• Theoretical Computing
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Milan G. Đorđević serves as an Assistant Professor at the Faculty of Mathematics and Computer Sciences, Alfa BK University, where he has taught core computer science courses for over a decade including Programming 1, Object-Oriented Programming, Data Structures and Algorithms, Operating Systems, and Computer Architecture. He completed his doctoral studies in 2012 at the University of Primorska, Faculty of Mathematics and Information Technology, Department of Computing and Informatics, supported by a scholarship from Slovenia awarded for his exceptional academic performance during higher education in Belgrade. His research focuses on interdisciplinary applications of computing theory: Artificial Intelligence and Machine Learning systems development Combinatorial Optimization with Nature-Inspired Algorithms Computational modeling of Misinformation Spread in Social Networks Dr. Đorđević has authored over 30 international publications and received recognition through: Microsoft Imagine Cup award for mentoring award-winning student projects Slovenian Doctoral Scholarship for academic excellence As an academic advisor, he has guided numerous bachelor's and master's theses to international competition success. He maintains active professional engagement through long-standing memberships in IEEE, IET, and ACM, contributing to global computer science discourse while addressing contemporary societal challenges through computational research.

Dragan H. Stojanovicمشاهده پروفایل

استاد

• Artificial Intelligence
• Edge Computing
• Smart City Systems
• +۳ مورد دیگر

Dr. Dragan H. Stojanovic serves as a Professor at the Faculty of Electronic Engineering, University of Niš, specializing in computer science since his appointment in 2015. His academic journey spans over three decades at the same institution, where he earned all his degrees and now leads research in cutting-edge computational fields. His educational background includes: PhD in Electrical Engineering and Computing (2004, University of Niš) MSc in Electrical Engineering and Computing (1998, University of Niš) BSc in Electrical Engineering and Computing (1993, University of Niš) Stojanovic's research centers on Artificial Intelligence and Edge Computing , with significant contributions to Smart City infrastructures, parallel processing algorithms, and neural network applications. His work bridges theoretical computer science with practical implementations in urban systems, demonstrated through collaborations on 1 national and 2 international research projects . Recent publications (2022-2025) reveal a strategic pivot toward resource-constrained AI deployment across edge-fog architectures, while earlier work (2014-2020) established foundations in geospatial data parallelization and social media analytics. His publication portfolio shows evolving expertise: 2014-2019: Focus on parallel computing (MPI/CUDA) for geospatial and trajectory data 2020-2022: Integration of IoT and social networks into Smart City business processes 2023-2025: Advanced Edge AI optimization for real-time object detection and prediction systems Stojanovic actively contributes to academic knowledge transfer through project leadership and has published 16 journal articles in impact-factor journals. His current research trajectory emphasizes sustainable computing paradigms for urban environments, with emerging work on competency-focused AI education frameworks.

• Discrete and Computational Geometry
• Graph Algorithms
• Combinatorial Optimization and Polyhedral Combinatorics
• +۲ مورد دیگر

Yoshio Okamoto is a Professor at the Department of Computer and Network Engineering, Graduate School of Informatics and Engineering, at The University of Electro-Communications in Tokyo, Japan. He has held this position since April 2017, after serving as an Associate Professor at the same institution from April 2012 to March 2017. Prior to his appointment at the University of Electro-Communications, he held academic positions at Tokyo Institute of Technology, Japan Advanced Institute of Science and Technology, and Toyohashi University of Technology. His educational background includes: Bachelor of Systems Science from The University of Tokyo (1999) Master of Systems Science from The University of Tokyo (2001) Doctor of Theoretical Science from ETH Zurich (2005) Professor Okamoto's research spans several interconnected areas in theoretical computer science and discrete mathematics. His primary interests include Discrete and Computational Geometry, Graph Algorithms, Combinatorial Optimization and Polyhedral Combinatorics, Discrete Mathematics and Combinatorics, and Game Theory. His work often explores the interplay between these fields, developing theoretical foundations with practical algorithmic implications. He has made significant contributions to understanding the structural properties of geometric and combinatorial objects, as well as designing efficient algorithms for related problems. His recent publications demonstrate a continued focus on fundamental problems in discrete mathematics and theoretical computer science, with increasing applications in quantum computing, fair division, and reconfiguration problems. His work often appears in top-tier journals such as ACM Transactions on Algorithms, Algorithmica, and Theoretical Computer Science, reflecting his standing in the theoretical computer science community. Professor Okamoto has received several prestigious awards recognizing his contributions to the field: IPSJ-CS Outstanding Achievement and Contribution Award (January 2024) Research Award from The Operations Research Society of Japan (September 2020) Best Review Paper Award (with colleagues) from Japan Society for Software and Technology (September 2014) Research Encourage Award from The Operations Research Society of Japan (September 2012) 8th EATCS/LA Presentation Award (February 2010) Editors' Choice 2003 from Discrete Applied Mathematics (September 2004) As an educator, Professor Okamoto has taught numerous courses at The University of Electro-Communications since 2012, including Discrete Mathematics, Graphs and Networks, Discrete Mathematical Engineering, and Foundations of Discrete Optimization. He has served as an editor for multiple prestigious journals including Graphs and Combinatorics (Managing Editor since 2020), Acta Informatica, Journal of Computational Geometry, and Journal of Graph Algorithms and Applications. His extensive service on program committees for major conferences in theoretical computer science demonstrates his active engagement with the research community. Professor Okamoto leads a research laboratory at The University of Electro-Communications, where his team explores fundamental questions in discrete mathematics and theoretical computer science. The lab maintains strong connections with researchers worldwide, as evidenced by his numerous international collaborations. His research has been supported through various channels, including Japan Society for the Promotion of Science grants, and he has served as a reviewer for international funding agencies including the Swiss National Science Foundation and The Netherlands Organization for Scientific Research.

Goran Jocićمشاهده پروفایل

استادیار

• Information Technology
• Web Development
• Information Systems
• +۲ مورد دیگر

Goran Jocić is an Assistant Professor at the MEF Faculty of Science and Education, where he has taught since 2013 and currently serves as IT Sector Manager. He founded and leads the MEF Faculty Development Center , a lab dedicated to creating software solutions for academic operations. His entrepreneurial venture, a Computer Programming Agency, extends his expertise into commercial web development. His research and teaching span: Web Development (applications, portals, e-commerce) Information Systems (design, accounting systems, logic) Infrastructure (server/network administration) Object-Oriented Programming He previously contributed to the Serbian Blind Association by developing member-management tools. No awards or grants are documented.