جستجوی استاد راهنمای دانشگاهی

Tijana Gajićمشاهده پروفایل

پژوهشگر

• Language Education
• Digital Learning Tools
• Foreign Language Acquisition
• +۴ مورد دیگر

Tijana Gajić is a researcher at Singidunum University in Belgrade, Serbia. She holds a Ph.D. in Philology (2020), an MA in English Language and Literature (2009), and a BA in the same field (2007) from the University of Belgrade. Her work focuses on the intersection of language education, digital tools, and critical pedagogy. Doctoral Studies: Philology , University of Belgrade (2017-2020) Master Studies: English Language and Literature , University of Belgrade (2008-2009) Bachelor Studies: English Language and Literature , University of Belgrade (2003-2007) Dr. Gajić’s research explores the impact of digital technologies on language acquisition, critical thinking development, and the sociopolitical dimensions of English language learning. She has published extensively on mobile applications like Duolingo, HelloTalk, and WordUp, analyzing their efficacy in modern pedagogy. Her recent publications (2024-2025) examine digital tools’ influence on language education, critical pedagogy in Serbian classrooms, and AI-driven language learning innovations. Earlier works (2020-2016) established her expertise in tandem learning, vocabulary enhancement via apps, and affective factors in language acquisition. Notable collaborations include partnerships with researchers like N. Maenza , A. Gagić , and J. Nikolić . While no specific grants or awards are mentioned, her involvement in conferences such as Sinteza and ELTA Serbia underscores her active role in advancing language education. Her 2022 book, Nastava stranih jezika i razvoj kritičkog mišljenja u eri neoliberalizma , synthesizes her critical pedagogy framework. Current projects likely continue her focus on digital transformation in language teaching.

• Cyber Law
• Artificial Intelligence and Law
• Business Law
• +۷ مورد دیگر

Zaklina Spalevic is a distinguished Professor at Singidunum University, specializing in the intersection of law, technology, and business. With a strong academic background in criminal law and extensive research in cyber law, artificial intelligence applications in legal systems, and tourism law, she has established herself as a leading scholar in digital legal frameworks. Her work spans multiple disciplines, connecting traditional legal principles with emerging technological challenges. Dr. Spalevic earned her doctoral degree in Criminal Law from the University of the Academy of Economics in Novi Sad (2008-2012), following basic studies in General Law at the University of Pristina (1996-2001). Her educational foundation in Science and Mathematics from First Pristina High School (1992-1996) provided the analytical basis for her interdisciplinary approach to legal scholarship. Her research interests focus on the evolving landscape of cyber law, particularly the legal implications of artificial intelligence in judicial systems, electronic governance, and tourism industry regulation. Dr. Spalevic has pioneered work on digital evidence processing, algorithmic justice, and the integration of green law principles into sustainable business practices. Her publications reveal a consistent pattern of addressing emerging legal challenges in the digital age, with increasing emphasis on AI applications across various legal domains. Analysis of her recent publications shows a clear trend toward interdisciplinary research that bridges law, technology, and business. Her work increasingly focuses on practical applications of legal frameworks for emerging technologies, particularly in tourism, agriculture, and judicial systems. The integration of technical solutions with legal regulation represents a distinctive feature of her scholarly contributions. Dr. Spalevic has authored numerous publications including three books: 'Fundamentals of Law with Special Reference to Business and Tourism Law' (2021, 2024 editions) and 'Legal Aspects of Cyberspace' (2018). Her extensive publication record includes over 100 journal articles and conference papers spanning cyber security, electronic governance, intellectual property in digital environments, and legal frameworks for emerging technologies. She actively contributes to academic discourse through conference presentations and collaborative research projects, particularly focusing on the legal implications of artificial intelligence across various sectors. Her work demonstrates a commitment to developing practical legal frameworks that address real-world technological challenges while maintaining foundational legal principles.

• Information Technology Governance
• Cybersecurity
• Blockchain
• +۸ مورد دیگر

Dalibor Radovanović is a researcher at Singidunum University , affiliated with the Faculty of Business Informatics . His work spans cybersecurity, blockchain technologies, and their applications in business and IoT systems. Education: Doctoral Dissertation (2016, Singidunum University) Master's & Basic Studies (Faculty of Business Informatics) Secondary Education: ETŠ Nikola Tesla Research Interests include: Security frameworks for IoT and blockchain integration Smart card and wireless network vulnerabilities E-governance and corporate IT audit methodologies Machine learning applications in cybersecurity Environmental performance optimization in agribusiness Publication Trends reveal a focus on blockchain (2022), cybersecurity (2009-2022), and IT governance (2010-2017). His work bridges theoretical analysis with practical implementations in Serbia's digital economy. Collaborations with scholars like Marko Šarac and Saša Adamović highlight interdisciplinary approaches to securing financial systems, educational institutions, and industrial IoT applications.

Slavko Alčakovicمشاهده پروفایل

استاد مهمان

• Digital Marketing
• Social Media Marketing
• Sports Marketing
• +۳ مورد دیگر

Slavko Alčakovic is a Visiting Professor at the University of Singidunum in Belgrade, Serbia. Holding a PhD in Marketing and Trade from the same university, his academic journey includes a Master's in Financial Management and Investment Banking from Lincoln University (2008-2010) and a Bachelor's in Accounting and Auditing from the University of Singidunum (2004-2008). He primarily focuses on digital marketing, sports marketing, and consumer behavior, with particular interest in Super Bowl advertising trends, generational marketing, and media digitalization impacts. Education: BSc in Accounting & Auditing, University of Singidunum (2004-2008) MSc in Financial Management & Investment Banking, Lincoln University (2008-2010) PhD in Marketing & Trade, University of Singidunum (2010-2013) Research Focus: His work examines digital marketing innovations (including NFTs and AI applications), political communication shifts from traditional to digital media, and hybrid learning dynamics. Publications frequently analyze Super Bowl advertising patterns (2017-2025), Generation Z's market behavior, and team cohesion in sports contexts. Collaborative Work: Frequently collaborates with scholars like A. Belačić, V. Gavranović, and I. Savić across disciplines including marketing, education, and sports psychology. His research spans both academic journals (e.g., The European Journal of Applied Economics ) and international conferences (Sinteza, SINERGIJA).

• Artificial Intelligence
• Optimization
• Machine Learning
• +۷ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.

• Optimization for Machine Learning
• Collaborative Learning
• Federated Learning
• +۶ مورد دیگر

Sebastian U. Stich is a tenured Professor at CISPA Helmholtz Center for Information Security and a member of the European Lab for Learning and Intelligent Systems (ELLIS). His research focuses on optimization for machine learning, collaborative learning (distributed, federated, and decentralized methods), efficient optimization techniques, adaptive stochastic methods, and privacy/security in machine learning. Recent appointments include ERC Consolidator Grant 2024 for the CollectiveMinds project. Key contributions in federated/decentralized learning, uncertainty estimation, and communication-efficient optimization. Active in workshop organization, including the Optimization for Machine Learning workshop at NeurIPS 2024. Teaching modern optimization methods at Saarland University (2023-2025). His work has been recognized with awards such as the Google Research Scholar Award (2023) and Meta Privacy-Enhancing Technologies Award (2022) . His research group includes postdocs Dr. Anton Rodomanov and Dr. Rotem Mulayoff, and PhD students Xiaowen Jiang and Yuan Gao.

Zoran J. Stankovicمشاهده پروفایل

استاد

• Antenna Design and Optimization
• Direction of Arrival (DoA) Estimation
• Artificial Neural Networks in Electromagnetics
• +۷ مورد دیگر

Zoran J. Stankovic is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, in the Department of Telecommunications. He has been an integral part of the institution since earning his PhD in 2007, progressing from Assistant to Associate Professor (2020) and Full Professor (2024). He is actively involved in research, education, and academic leadership. Education: PhD in Telecommunications, Faculty of Electronics, University of Niš (2007) Master's in Telecommunications, Faculty of Electronics, University of Niš (2002) Bachelor's in Electronics and Telecommunications, Faculty of Electronics, University of Niš (1994) His research focuses on applying artificial neural networks to solve complex problems in electromagnetics and wireless systems. Key areas include antenna design optimization , direction-of-arrival (DoA) estimation , microwave cavity modeling , and smart textile antennas . His work bridges machine learning with electromagnetic theory, enabling efficient and adaptive RF system design. The analysis of his recent publications reveals a strong trend in using deep and hybrid neural networks for electromagnetic modeling and signal processing. His research emphasizes real-world applications such as wearable antennas, mobile source tracking, and intelligent antenna systems, often published in high-impact IEEE and Wiley journals. Scientific Awards: Commemorative Plaque from the Yugoslav Society for Microwave Techniques and Technologies (2005) for outstanding scientific results in microwave engineering Advising and Grants: While specific students are not listed, he has supervised numerous academic works. He has participated in 17 research projects (13 national, 4 international including DAAD, NATO, COST) and 8 educational development projects (including ERASMUS+, TEMPUS, WUS). These reflect sustained funding and academic collaboration. Labs and Teams: He is the founder and head of the Laboratory for Antennas and Propagation at the Faculty of Electronics, Niš. He is actively involved in organizing and leading the international conferences TELSIKS and ICEST , serving on their program and organizational committees, demonstrating strong leadership in the academic community.

• Mathematics Education
• Interactive Multimedia in Teaching
• Educational Technology
• +۵ مورد دیگر

Marina Milovanović is a Professor at the University of Singidunum, Faculty of Informatics and Computing, Department of Mathematics. She holds dual doctoral degrees from the Faculty of Science, University of Kragujevac (Department of Mathematics, 2014) and Faculty of Entrepreneurial Business, Union University (2008), along with Master's and Bachelor's degrees from the Faculty of Mathematics, University of Belgrade (2000-2005 and 1995-2000 respectively). Faculty of Science, University of Kragujevac, Department of Mathematics (PhD, 2014) Faculty of Entrepreneurial Business, Union University (PhD, 2008) Faculty of Mathematics, University of Belgrade (Master's, 2000-2005) Faculty of Mathematics, University of Belgrade (Bachelor's, 1995-2000) Svetozar Marković High School, science and mathematics major (1991-1995) Professor Milovanović specializes in Mathematics Education and Educational Technology, with particular expertise in interactive multimedia applications for teaching mathematics. Her research consistently bridges theoretical mathematics with practical educational technology solutions, evolving from traditional multimedia approaches to incorporating cutting-edge AI and machine learning techniques. She has authored multiple books including 'Interactive multimedia in mathematics teaching' (2015) and collections of solved mathematics problems for entrance exams. Her recent publication record through 2025 demonstrates active engagement in interdisciplinary research, particularly at the intersection of educational technology, artificial intelligence, and practical applications in fields ranging from software engineering to medical diagnostics. Her work shows a clear trajectory from foundational educational technology research toward more sophisticated AI-enhanced learning systems. Professor Milovanović has made significant contributions to semantic web applications in education, particularly through Moodle LMS enhancements, and has explored SCADA applications in industrial contexts. Her collaborative research spans multiple countries and institutions, reflecting an international scholarly network. She has extensive experience developing computer tools for engineering education and has published on diverse topics including petroleum industry processes, environmental management, and financial mathematics. Her work demonstrates consistent application of computational approaches to solve domain-specific problems across multiple disciplines.

Sandra Nešićمشاهده پروفایل

دانشیار

• Finance
• Management
• Entrepreneurship
• +۳ مورد دیگر

Sandra Nešić is an Associate Professor at the Faculty of Media and Communications (FMK) of Singidunum University. She teaches courses such as Startup and Entrepreneurship and Management in the Digital Age , focusing on innovation management, corporate finance, and digital transformation. She also serves as an external advisor and Senior Innovation Consultant at the Center for the Development of Technological Entrepreneurship and Innovation ICT Hub. Education : Undergraduate and Master's degrees from Braća Karić University; PhD from Singidunum University (2009) with a dissertation on Mergers and Acquisitions in European Banking . Research Interests : Her work spans finance, management, and entrepreneurship, particularly in innovation ecosystems, digital business models, and corporate-startup partnerships. She emphasizes knowledge transfer, funding accessibility for startups, and transformative growth strategies in the digital economy. Scientific Contributions : Author of key publications including the textbook Business Finance (2010) and co-author of the monograph Contemporary Management Theory: Schools and New Approaches (2014). Her recent works explore digital business models, corporate-startup cooperation, and funding challenges for startups. Awards & Affiliations : Member of the International Management Training Association (IMTA) and CEEMAN. Recipient of a MASHAV scholarship from Israel. Involved in consulting projects across Serbia and the region. Advisory Roles : Mentor to start-up technology companies, with expertise in corporate innovation and technological entrepreneurship.

• Control Systems
• Machine Learning
• Robotics
• +۶ مورد دیگر

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

Ivan Z. Milentijevicمشاهده پروفایل

استاد

• Computer Science
• Electrical Engineering
• Digital Signal Processing
• +۳ مورد دیگر

Professor Ivan Z. Milentijevic is a full professor at the Faculty of Electronics in Niš, University of Niš, within the Department of Electrical Engineering and Computer Science. He earned his PhD in Computer Science from the same institution in 1998, following a Master's (1994) and undergraduate degree (1989) in the same field. His research focuses on systolic arrays, digital signal processing architectures, and project-based learning methodologies. He has published 8 papers in journals with impact factor and is currently involved in 1 domestic and 1 international research project. Research interests include: Optimal design of systolic arrays for matrix operations FIR filter architectures and error-tolerant systems Reconfigurable hardware and parallel processing Educational technologies in project-based learning His recent work (2002–2008) emphasizes configurable architectures for signal processing and collaborative learning systems. Earlier contributions (1996–1998) focused on systolic array optimization for linear algebra operations. Advising/grants: No explicit student/advisor relationships listed. Current projects involve 1 domestic and 1 international collaboration. Grants and funding details not specified. Labs/teams: Affiliated with the Faculty of Electronics' research groups in computer engineering and signal processing, though specific lab names are not mentioned.

Sandra M. Đosićمشاهده پروفایل

دانشیار

• Electronics
• Real-Time Systems
• Fault-Tolerant Systems
• +۷ مورد دیگر

Sandra M. Đosić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, Serbia, specializing in Electronics and Embedded Systems. She has been actively contributing to research in real-time systems, fault tolerance, wireless sensor networks, and indoor localization technologies. Research Interests: Her work spans fault-tolerant real-time systems, energy-efficient computing, UWB-based indoor localization, and communication protocols for wireless sensor networks. She explores techniques such as dynamic voltage and frequency scaling (DVFS), tone-based contention resolution, and deflection routing in networks-on-chip to enhance system reliability and efficiency. Publication Trends: Her recent publications (2009–2022) demonstrate a strong focus on improving robustness and performance in embedded and distributed systems. The research integrates signal processing, network optimization, and energy-aware design, primarily applied in industrial and indoor environments. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students are listed, she is currently participating in two national research projects, indicating active involvement in funded research. Her collaborations with researchers such as Igor Stojanovic and Milica Jovanovic suggest a strong team-based research approach. Labs and Research Teams: Although no formal lab or team name is specified, her repeated co-authorship with colleagues from the Faculty of Electronics implies active participation in a research group focused on electronics, communications, and real-time systems.

Ivana Rakonjacمشاهده پروفایل

دانشیار

• Architectural Design
• Urban Design
• Lighting Design
• +۳ مورد دیگر

Dr. Ivana Rakonjac is an Associate Professor at the University of Belgrade's Faculty of Architecture, specializing in Architectural Design. She holds a Ph.D. from the same institution and has over a decade of teaching experience, progressing from student demonstrator to her current rank. Her research focuses on lighting design, urban renewal, and the interplay between architecture and cultural identity. Rakonjac is a licensed architect and founder of METEOR studio and METEOR Lux, emphasizing industrial design in lighting and furniture. She actively participates in professional organizations like the Institute of Architecture and Urban Planning of Serbia and has contributed to international projects such as the INTERREG DANUBE RURALSCAPES initiative. Notable awards include recognition at the 43rd Salon of Architecture and editorship of the UB-AF Student Yearbook since 2022. Education: Bachelor's and Master's Degrees, Faculty of Architecture, University of Belgrade (2000s) Ph.D. in Architectural Design and Contemporary Architecture, University of Belgrade (2016) Research Interests: Architectural lighting design, sustainable urban development, industrial design, and heritage preservation. Her work bridges theoretical research and practical implementation, with projects ranging from residential interiors to public spaces and lighting systems. Recent Projects: Contributions to the DANUBE RURALSCAPES project (2025–2027), editorial roles, and international exhibitions. She has designed over 40 interior projects, several buildings, and urban spaces, including a public square in Belgrade. Awards: Recognition at the 43rd Salon of Architecture (2019) for her chapter in Omnibus: Short Stories on Housing Topics , and membership in prestigious professional bodies. Grants & Collaborations: Participated in ERASMUS+, COST, and INTERREG projects. Active in organizing academic events like the 10th International Academic Conference PLACES AND TECHNOLOGIES 2025. Labs & Teams: Leads the METEOR studio and collaborates with international partners through academic exchanges and design competitions.

Milica Popović Stijačićمشاهده پروفایل

استادیار

• Cognitive Psychology
• Psycholinguistics
• Experimental Psychology
• +۳ مورد دیگر

Milica Popović Stijačić is an Assistant Professor at the Faculty of Media and Communications (Singidunum University), specializing in cognitive psychology, psycholinguistics, and experimental methodology. She earned her degrees in psychology (University of Novi Sad) and applied statistics (University of Novi Sad), with a doctoral thesis titled The influence of perceptual information in word processing - the perspective of embodied cognition . Graduate and Master's in Psychology, University of Novi Sad Master's in Applied Statistics, University of Novi Sad PhD in Cognitive Psychology, University of Novi Sad Her research focuses on perceptual richness in semantic processing, embodied cognition, and statistical modeling of cognitive tasks. She leads a student research group at the FMK Lab, collaborating on projects related to cognitive psychology presented at domestic and international conferences. Key publications include studies on attribute framing effects (2024), emotional word processing during the pandemic (2023), and perceptual influences on memory recall (2022). Recent collaborative work explores AI applications in sustainable fashion (2022) and socioeconomic impacts on preschool intelligence (2020). She contributes to methodological advancements through comparative statistical approaches (2018) and investigates multisensory learning mechanisms (2015). Current collaborations include projects on sensorimotor deficits in psychosis/dementia (University of Zagreb, since 2021) and research on fundamental psychic processes (Ministry of Serbia-funded, 2018-2020). Teaching responsibilities include courses on lower/higher cognitive processes, contemporary psychological research, and scientific methodology.

Saša Adamovićمشاهده پروفایل

استاد

• Cryptography
• Biometric Security
• Internet of Things (IoT) Security
• +۳ مورد دیگر

Prof. Dr. Saša Adamović is a faculty member at Singidunum University in Belgrade, Serbia, affiliated with the Faculty of Informatics and Computer Science . His academic career spans over 15 years with a focus on Cryptography, Biometrics, and IoT Security . Born October 15, 1985, in Drvar, Bosnia and Herzegovina PhD in Advanced Security Systems (2013), Master’s in Contemporary Information Technologies (2008), and Bachelor’s in Business Informatics (all from Singidunum University) His research interests include: Biometric Cryptography Blockchain for IoT Security Catalan Number Applications in Cryptography Machine Learning in Security Systems Virtualization and Energy Efficiency Steganography and Forensics Recent publications highlight trends in: IoT Healthcare Security (2022) Biometric Authentication (2021) Combinatorial Cryptography (2021) Machine Learning for Diabetes Prediction (2021) Distance Learning Security (2023) He served as one of five Serbian representatives in the Open World program (USA) for expert exchange in technology development.