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.
Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.
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.
Zoran Đukanović is a Professor at the Faculty of Architecture, University of Belgrade. His work focuses on urban design, cultural heritage, and sustainable development, with a particular emphasis on participatory methods and community engagement in urban planning. His research explores the intersection of architecture, public spaces, and social dynamics, addressing challenges such as climate change adaptation, heritage conservation, and urban regeneration. Notable projects include studies on Belgrade’s urban policies, waterfront revitalization, and the role of cultural sites in tourism and placemaking. He has contributed to interdisciplinary initiatives linking education, urban planning, and place branding, advocating for inclusive and equitable urban development.
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.
Aleksandra Krstić is a full professor at the Faculty of Political Science, University of Belgrade, where she teaches courses including Political Journalism , Visual Representation of Politics , and Media and Journalism in a Global Context . She serves as Vice-Dean for Research Activities and leads the Center for Media and Media Research. PhD in Culture and Media (2015) from University of Belgrade Master's and BA in Journalism from Faculty of Political Science Her research examines media representation of EU institutions , authoritarian communication , digital journalism ethics , and migrant portrayal in Serbian media . Recent work analyzes visual security narratives , presidential communication strategies , and opinion dynamics in social media . Scientific awards include the Đoko Vlajković Foundation Award (2018) and multiple European integration media awards. She leads international projects like DepolarisingEU (COST Action 22165) and Strengthening Local Media in Serbia (US Alumni Grant). Krstić collaborates with institutions including International Organization for Migration (IOM) and European Commission, and serves on editorial boards for Journal of Regional Security and Political Perspectives .
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.
Yannic Maus is a University Professor at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology (TU Graz), Austria, where he heads the newly founded Institute of Algorithms and Theory (established in 2025). He also serves as co-leader of one of the five fields of expertise at TU Graz (FoE Information, Communication & Computation). His academic journey includes: PhD in Computer Science from University of Freiburg, Germany (2014-2018) MSc in Mathematics from RWTH Aachen, Germany BSc in Mathematics and Computer Science from RWTH Aachen, Germany (with a year at National University of Singapore) Professor Maus specializes in theoretical computer science and algorithm design, with a particular focus on distributed computing. His research spans distributed graph algorithms, efficient algorithms, data structures, complexity theory, and geometric algorithms. He approaches problems with both theoretical rigor and practical applications in mind, seeking clean mathematical solutions to questions motivated by real-world systems. His recent publications show a strong focus on distributed and parallel algorithms, particularly in graph theory. The research trends include distributed graph coloring, symmetry breaking, vertex cover problems, and massively parallel computing models. His work often bridges theoretical computer science with practical distributed systems considerations, with applications to large-scale networks and highly parallel systems. Professor Maus has received numerous accolades for his research: 2020 Principles of Distributed Computing Doctoral Dissertation Award Wolfgang-Gentner-Nachwuchsförderpreis 2019 GI Dissertationspreis 2018 Best Paper Awards at SIROCCO 2016, DISC 2016, and DISC 2017 Professor Maus actively mentors PhD students and has secured significant research funding, including FWF grants P36280-N (2023-2027), DOC 183 (2024-2028), I6915 (2024-2028), and FFG grant No. 59263962. His research group maintains strong international collaborations with institutions across Germany, Finland, Iceland, Israel, and beyond, providing students with opportunities for international research visits. He leads the Algorithms & Complexity research group at TU Graz, which includes PhD students Manuel Jakob, Florian Schager, Malte Baumecker, and Kritika Kashyap, as well as postdoc Tijn de Vos. The group is actively involved in theoretical computer science research with a focus on distributed and parallel algorithms, particularly for large-scale networks and highly parallel systems.
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.
Milena Podovac serves as an Assistant Professor at the Faculty of Hotel Management and Tourism in Vrnjačka Banja, University of Kragujevac, Serbia. Appointed to this position in June 2020 after progressive promotions since her 2011 appointment, she teaches core courses including Tourism Management, Management of Travel Agencies and Tour Operators, and Business Tourism. Her office is located in room 5 with consultation hours every Tuesday from 10:00-12:00. Her academic credentials include: Basic Academic Studies: Faculty of Economics, University of Kragujevac (2010) Master's Academic Studies: Faculty of Economics, University of Kragujevac (2012) Doctoral Studies: Singidunum University, Department of Postgraduate Studies, Belgrade (2019) Podovac's research centers on urban and rural tourism development , examining how tourism impacts community quality of life and destination competitiveness. Her work investigates travel motivations in Serbian urban centers, rural tourism potential in mountainous regions, and post-pandemic risk perception among travelers. Recent publications analyze health tourism branding, coastal safety perceptions, and technology's role in travel organization, demonstrating her focus on practical tourism management challenges. Her publication trend (2015-2022) reveals increasing emphasis on contemporary issues: pandemic-related travel behavior (2021-2022), urban destination marketing (2021-2022), and technology integration in tourism (2022). While maintaining Serbian case studies (Belgrade, Goč mountain, Vrnjačka Banja), her recent work expands to Croatian destinations (Opatija Riviera, Prolom Banja), showing regional research diversification. Podovac contributes to regional development through project work including: Strategy for Tourism Development of Rača Municipality (2014-2019) Revision of Strategy for Agriculture and Rural Development of Lajkovac Municipality (2016-2025) Her research informs practical tourism policy while addressing theoretical gaps in destination management and tourist behavior.
Robert D. Gray is a Professor of Mathematics at the School of Mathematics, University of East Anglia. His research focuses on combinatorial and geometric group and semigroup theory, algorithmic problems in algebra, decidability, homological finiteness properties, and group actions on graphs and topological spaces. EPSRC Research Fellow Editorial Board: International Journal of Algebra and Computation Available for PhD supervision in semigroup and inverse monoid theory His recent work explores: Topological finiteness properties of monoids Undecidability in one-relator inverse monoids Algorithmic properties of inverse monoids Maximal subgroups in special inverse monoids Key article trends include: Geometric and algorithmic aspects of inverse monoids Homological properties of semigroups Connections between group theory and semigroup theory Applications to graph theory and automata Scientific Awards: EPSRC Fellowship EP/V032003/1 EPSRC grant EP/N033353/1 EPSRC Postdoctoral Fellowship EP/E043194/1 Contact: Room S1.29, School of Mathematics, University of East Anglia, Norwich NR4 7TJ. Email: Robert.D.Gray@uea.ac.uk . Phone: +44 1603 591443.
Nataša Kilibarda serves as Professor at Singidunum University's Faculty of Tourism and Hospitality Management in Belgrade, Serbia. Her academic career spans over two decades with specialized expertise in food safety, meat technology, and sustainable food systems. She holds doctoral qualifications in Food Hygiene and Technology from the University of Belgrade's Faculty of Veterinary Medicine. Her research focuses on critical food industry challenges including food waste reduction, pandemic-era food safety protocols, sustainable meat production, and hospitality sector food handling practices. Kilibarda's work bridges academic research with practical industry applications, particularly in Serbian and Balkan contexts. Her recent publications demonstrate growing emphasis on sustainable food systems, biogas production from organic waste, and the intersection of tourism with traditional food quality. Her 15 most recent publications reveal consistent contributions to food safety literature with particular expertise in: Meat technology and quality control Microbiological safety of processed foods Food waste management strategies Pandemic impact on food systems Sustainable resource utilization Kilibarda maintains active collaboration with Serbian food industry stakeholders and contributes to national food safety standards development. Her work appears in prominent regional journals including Meat Technology, Journal of Food and Nutrition Research, and Tehnologija mesa.
Vuk Gajić is an Assistant Professor at the Faculty of Applied Ecology, Singidunum University, where he has held academic roles since 2016. His career progression includes positions as a teaching associate (2016), assistant (2019), and current role (2023). He earned a Ph.D. in Environment and Sustainable Development from Singidunum University (2019–2022), following prior studies in environmental protection and risk management at the same institution. Research interests span environmental science, sustainable development, GIS applications, and radiation technology for waste and food treatment. He has contributed to interdisciplinary studies, including soil contamination analysis in Libya, microbial decontamination via ionizing radiation, and machine learning applications for software defect prediction and agricultural weed detection. His work bridges environmental engineering with technological innovation, emphasizing sustainability and ecological conservation. Publications reflect a focus on environmental monitoring, pollution assessment, and eco-technologies. Key themes include GIS-based environmental databases, forest fire prevention through sensor networks, and agricultural waste reuse. His research often integrates quantitative methods with geospatial tools, addressing both local and global environmental challenges. Teaching responsibilities include courses on geodiversity, sustainable development, and natural hazards. He actively participates in academic conferences, contributing to peer-reviewed journals and presenting at events like Sinteza and SETI. Current projects likely explore emerging technologies in environmental management and sustainable practices.
Dr. Darko Dimitrovski serves as a Full Professor at the Faculty of Hotel Management and Tourism, University of Kragujevac, specializing in Tourism and Hotel Management. His academic journey spans over two decades with progressive appointments from assistant (2013) to associate professor (2019) and finally full professor (2023). His educational background includes: Bachelor's in Geography from University of Belgrade (2002) Master's in Tourism and Hotel Management from University of Novi Sad (2009) PhD in Geography from University of Belgrade (2013) Postdoctoral research at University of Tras-os-Montes, Portugal (2016-2017) Dimitrovski's research focuses on tourism management with specialized expertise in wine tourism, food markets, event tourism, and sustainable practices. His work examines tourist behavior in urban food markets (e.g., Barcelona's La Boqueria), wine tourism apps, crisis management in hospitality, and economic impacts of sporting events. Recent publications explore digital transformation in tourism through mobile apps and green leadership frameworks. His publication trends reveal deep engagement with: Wine and food tourism dynamics Digital platforms and mobile technology in tourism Sustainable destination management Methodological approaches in tourism economics Urban tourism experiences Professionally, Dimitrovski contributes as Associate Editor for Tourism Management Perspectives and serves on editorial boards of multiple tourism journals including European Journal of Tourism Research. His project portfolio includes European Union-funded initiatives like INNOVINE & WINE and COST Action OceanGov, focusing on wine tourism innovation and ocean governance. His teaching portfolio spans undergraduate to doctoral levels, covering Management of Travel Agencies, Business Tourism, Crisis Management, and Event Tourism. Early career included teaching positions at various Kragujevac technical schools (2002-2013) before joining the University of Kragujevac faculty in 2013.
Nenad Trunić is a Part-Time Lecturer at the Faculty of Physical Culture and Sports Management , Singidunum University . With a background in physical education and sports science, he specializes in modern training technology in basketball, talent selection, and youth athlete development. His career spans professional basketball as a player, coach, and technical director across global leagues. B.Sc., M.Sc., and Ph.D. in Physical Education and Sports from University of Belgrade and Karic Brothers University His research focuses on: Application of advanced training technology in sports performance Talent identification and selection processes in elite basketball Physical and psychological development of young athletes Comparative studies on basketball formats (3x3 vs 5x5) Post-COVID athlete recovery and physiological assessments Recent publications highlight trends in: Biomechanical analysis using local positioning systems Position-specific physical capacity testing Psychological profiling of basketball players Metabolic characteristics in active individuals Professional roles include: Technical Director and Coordinator for youth categories in Iran Basketball Federation FIBA Europe Coaching Instructor since 2011 Coach for multiple international basketball clubs (Italy, Turkey, Switzerland, etc.) Scouting consultant for Sacramento Kings (2005-2008)
