جست‌وجوی استاد و پژوهشگر

Aleksandar Jevremovićمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Cybersecurity
• Internet of Things (IoT)
• +۶ مورد دیگر

Aleksandar Jevremović is a Full Professor at the Faculty of Informatics and Computing, Singidunum University (Belgrade, Serbia), and holds multiple academic and professional roles. He is the Serbian representative at the UNESCO IFIP Technical Committee on Human-Computer Interaction since 2018. He has served as Vice-Dean of his faculty (2015–2018) and held visiting professorships at institutions like Ss. Cyril and Methodius University (North Macedonia) and Tallinn University (Estonia). His research focuses on cybersecurity, IoT, AI, and e-learning innovation. Education and Affiliations: External Researcher at the Mathematical Institute of the Serbian Academy of Sciences and Arts Visiting Scholar at Cyprus Interaction Lab (Cyprus University of Technology) Alumni/Postdoc Researcher at Tallinn University's HCI Group Member of IEEE and the Informatics Association of Serbia Research Interests: Jevremović’s work spans cybersecurity (e.g., intrusion detection, secure IoT protocols), human-computer interaction (HCI), AI-driven education tools, and neurotechnological applications like EEG-based assessment systems. He emphasizes practical solutions for digital safety, such as children’s online protection and cryptographic key generation from biometric data. Grants and Projects: Member of the External Advisory Committee for the EU-funded ONTOCHAIN project (2022–2023) Mentor for training schools like AAPELE Training School and NET4Age-Friendly initiatives Trainer in IoT, cybersecurity, and health promotion programs across Europe Labs and Teams: He collaborates with interdisciplinary teams on projects like CASPER (Children Agents for Secure and Privacy Enhanced Reaction) and led the development of WIDE, a collaborative web development education platform.

• 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.

• Medical Imaging
• Computer Vision
• Image Processing
• +۳ مورد دیگر

Vladimir Zlokolica is a researcher affiliated with Singidunum University, holding a PhD in Telecommunications and Information Processing from Ghent University (2006) and a Master's degree from the same institution (2005). He obtained his Bachelor's degree in Electrical Engineering from Novi Sad (2001). His research focuses on Medical Imaging , Computer Vision , and Automotive Perception Systems , particularly in advanced image processing techniques for 3D medical imaging and motor vehicle environmental modeling. His work includes segmentation algorithms for cardiovascular diagnostics and innovative methods for automotive image generation and enhancement. Publications from 2017-2020 demonstrate expertise in 3D image analysis , medical applications , and automotive vision systems . Notable contributions include techniques for left atrial appendage segmentation, vessel delineation, and quality metrics for 3D visual content. Despite no explicit scientific awards mentioned, his collaborations with institutions like Ghent University and Singidunum University highlight his academic engagement.

• Information Systems
• E-learning
• Educational Technology
• +۳ مورد دیگر

Marija Nikolić is a Lecturer in the Department of Information Technologies at the Faculty of Technical Sciences Čačak, University of Kragujevac. She holds a Master of Pedagogical and Technical Sciences from the Technical Faculty in Čačak, specializing in Informatics in Education. Her career spans over two decades in technical and educational institutions, focusing on integrating information technologies into education and improving teaching methodologies. She has contributed to projects like the ENGLIT initiative enhancing digital competencies in English language teaching. Education: BSc in Technology and Informatics (1998, Technical Faculty Čačak), MSc in Informatics in Education (2010, same institution). Professional roles include laboratory assistant, professional associate in Information Systems, and current lecturer position. She has authored/co-authored over 30 publications in journals and conferences, addressing e-learning, web technologies in education, and ICT applications. Research interests emphasize E-learning systems, multimedia content integration, and technology-driven educational efficiency. Recent work includes studies on smart education frameworks, challenges in digital learning environments, and ICT tools for student performance improvement. She actively participates in international conferences and contributes to textbooks like Informatics and Computing (2014). Her involvement in Erasmus+ projects addresses skills gaps in European industries, focusing on equality and innovation. She collaborates on initiatives like the AEQUALIS4TCLF program (2024-2028) targeting textile and footwear sectors. No scientific awards are explicitly listed, but her extensive publication record reflects scholarly contributions.

• Software Testing Education
• Machine Learning
• Metaheuristic Optimization
• +۹ مورد دیگر

Tamara Živković is a researcher at the Faculty of Informatics and Computing, Singidunum University. She holds a PhD in Software Engineering from the School of Electrical Engineering in Belgrade (2024), with prior Master's and Bachelor's degrees in related fields. Education: PhD, Software Engineering (2012-2024), School of Electrical Engineering, Belgrade Master, Audio and Visual Technologies (2008-2010), School of Electrical Engineering, Belgrade Bachelor, Telecommunications and Information Technology (2001-2007), School of Electrical Engineering, Belgrade Her research focuses on software testing education, metaheuristic optimization for machine learning models, and AI applications in cybersecurity, medical diagnostics, and data analysis. She explores hybrid approaches combining neural networks (LSTM, GRU, CNN) with metaheuristic algorithms (PSO, Firefly, Crayfish) for complex prediction tasks. Recent publications span software defect prediction, phishing detection, Parkinson's disease diagnostics, and sentiment analysis. Her work integrates generative adversarial networks for dataset augmentation and applies attention mechanisms in NLP tasks. She has completed advanced certifications in software product management and agile practices from the University of Alberta, along with ISTQB testing certifications.

Mladen Vidovićمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Data Science
• +۳ مورد دیگر

Mladen Vidović is a researcher at the Faculty of Informatics and Computing, Singidunum University. His work focuses on artificial intelligence, machine learning, and applied informatics, with a particular emphasis on synthetic dataset generation, remote rendering, and educational technology. Articles : 12 recent publications covering AI applications, semantic segmentation, and data science Research Interests : Synthetic data creation, machine learning workflows, and interactive software systems His research outputs include collaborations on tools like Autonomous Grader for educational assessment and Microraptor Gui for remote rendering monitoring. Notable projects involve leveraging Kohonen Self-Organizing Maps for anomaly detection and developing end-to-end learning approaches for stereo vision tasks. While no explicit awards or student advisories are documented in the available texts, his publications indicate active participation in academic conferences such as Sinteza and ICIST, contributing to advancements in AI and informatics.

• Color Perception
• Cognitive Psychology
• Visual Coding
• +۳ مورد دیگر

Ivana Yakovlev is an Associate Professor at the Faculty of Philosophy, University of Novi Sad, specializing in General Psychology. She is affiliated with the Laboratory of Experimental Psychology since 2011 and completed postdoctoral training at the School of Psychology, University of Aberdeen (2019). Her research focuses on color perception, cognition, and their interplay with language, supported by projects from the Ministry of Education, Science and Technological Development and Horizon 2020 (CARISMAND, CITYCOP). Education: Bachelor of Psychology, Faculty of Philosophy, Novi Sad (2010) Master of Psychology, Faculty of Philosophy, Novi Sad (2011) Doctor of Psychological Sciences, Faculty of Philosophy, Novi Sad (2018) Her research spans color lexicon development , cognitive processes in perception , and cultural factors in disaster preparedness . Key projects include "Fundamental Cognitive Processes and Functions" (Ministry) and Horizon 2020 initiatives CARISMAND and CITYCOP . Publications highlight interdisciplinary approaches to visual coding, language-cognition interactions, and security perception modeling. Recent publications demonstrate expertise in experimental psychology, cultural psychology, and disaster risk reduction, with a focus on color categorization, cognitive modeling, and cross-cultural analysis. She teaches core courses in Perception , Learning and Memory , and Cognitive Processes at the basic academic studies level.

• Informatics Education
• Educational Technology
• Cryptography in Education
• +۳ مورد دیگر

Suzana Đorđević is an Assistant Professor at the Department of Natural Sciences, Mathematics and Computer Sciences, Faculty of Pedagogical Sciences, University of Kragujevac (Jagodina). Her work focuses on integrating information technologies into education, particularly in informatics and teacher training. She holds a Doctorate in Informatics with Teaching Methodology (2021) and prior degrees in theoretical mathematics (2016–2017). Education: Doctorate: Informatics with Teaching Methodology, Faculty of Pedagogical Sciences, University of Kragujevac (2021) Master’s: Mathematics – Theoretical Mathematics, Faculty of Natural Sciences and Mathematics, Kragujevac (2017) Bachelor’s: Mathematics – Theoretical Mathematics, Faculty of Natural Sciences and Mathematics, Kragujevac (2016) Research Interests: Cryptography in educational collaboration, ICT competency development for teachers, AI applications in STEM education, and gamification strategies for coding education. She actively participates in projects like the "Raising Digital Competencies of Teachers" (PODIKOM) and bilateral collaborations with Montenegro and Slovenia. Professional Contributions: Teaches courses such as Informatics in Education, Programming Methodology, and Web Development. Consultations are held Tuesdays at 2:15 PM. She has authored a textbook on Python programming and contributed to over a dozen peer-reviewed publications and conference proceedings. Awards: None explicitly listed, though her work aligns with recognitions in educational technology innovation.

Danijela Tešendićمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Environmental Monitoring
• +۲ مورد دیگر

Danijela Tešendić serves as an Associate Professor in the Department of Mathematics and Informatics at the Faculty of Sciences, University of Novi Sad. Her office is located in the Information Technologies and Systems office (DMI&DF), second floor, room 50, with contact details including telephone (485)-2873 and email tesendic@dmi.uns.ac.rs. She maintains a professional presence through her website at http://www.is.pmf.uns.ac.rs/daca/. Her research demonstrates dual expertise in environmental monitoring systems and library information technology. Recent work (2022-2025) focuses on machine learning applications for airborne pollen classification using CNN architectures and domain adaptation techniques, contributing to standardization frameworks in environmental science. Earlier contributions (2013-2019) established foundational work in library management systems, particularly through the BISIS software platform, business intelligence integration, and mobile accessibility solutions for visually impaired patrons. Analysis of her publication trajectory reveals a strategic shift toward interdisciplinary environmental informatics while maintaining connections to information systems. Her pollen monitoring research bridges computer vision with ecological applications, emphasizing real-time processing and cross-device compatibility. Concurrently, her library science work pioneered cloud-based service models and inclusive design principles, showcasing adaptable technical frameworks across distinct domains. Scientific Awards No awards or honors were documented in the provided materials. Advising and Grants Student mentorship details are absent from the source text. No research grants or funding sources are explicitly referenced.

Marija Nikolićمشاهده پروفایل

مدرس

• Information Technology
• Educational Technology
• E-learning
• +۵ مورد دیگر

Marija Nikolić, M.Sc., is a Lecturer at the Department of Information Technologies, Faculty of Technical Sciences in Čačak, University of Kragujevac. With expertise in Information Technologies and Systems, she has significantly contributed to educational technology, e-learning, and multimedia systems in pedagogy. Her research focuses on enhancing knowledge acquisition through blended learning methodologies, integrating digital tools into educational processes, and optimizing information subsystems for quality management. She has led projects like "ENGLIT" (2018–2019), which aimed to develop students' digital competencies, and participates in the Erasmus+ initiative "AEQUALIS4TCLF" (2024–2028) addressing skills gaps in European industries. Marija's publications span international journals and conferences, emphasizing areas such as smart education environments, AI-driven personalized learning, and business process modeling for information systems. She also contributes to textbook development and serves as a researcher in institutions like the Computer Science Laboratory at her faculty.

• Artificial Intelligence
• Machine Learning
• Computer Science
• +۳ مورد دیگر

Ivan Radosavljevic is a researcher at Singidunum University's Department of Postgraduate Studies, actively contributing to the fields of Artificial Intelligence, Machine Learning, and Software Engineering. His work spans diverse applications including environmental monitoring, educational technology, medical diagnostics, and geospatial systems. Research interests focus on AI-driven solutions for air quality assessment, synthetic dataset generation for semantic segmentation, real estate price prediction from internet ads, and medical imaging analysis. He has developed software tools for remote rendering monitoring, automated grading, and eye-tracking-based code interaction studies. His publications demonstrate expertise in integrating fuzzy logic with GIS for environmental applications, creating innovative educational technologies, and applying machine learning to healthcare diagnostics. Ivan collaborates with colleagues across multiple domains while maintaining a strong focus on practical implementations of artificial intelligence.