جستجوی استاد راهنمای دانشگاهی

• Computational Modeling
• Computer Simulations
• Optimization Methods
• +۶ مورد دیگر

Dr. Boban Stojanović serves as an Associate Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computational methodologies applied across multiple scientific domains. Stojanović earned his PhD in Technical Sciences from the University of Kragujevac, establishing a foundation for his interdisciplinary research approach that bridges mathematics, computer science, and engineering applications. His educational background has equipped him with expertise spanning theoretical frameworks to practical implementations. His research focuses on computational modeling and computer simulations , with particular emphasis on optimization methods , bioengineering applications (especially muscle modeling), and hydroinformatics . Stojanović has developed significant expertise in numerical simulations and has contributed to advancing methodologies in finite element analysis for complex biological systems. His work demonstrates a consistent pattern of applying computational techniques to solve real-world engineering and medical challenges. Analysis of his publication record reveals a strong trajectory in biomechanics and computational engineering, with increasing sophistication in modeling approaches from 2007-2012. His work shows particular strength in developing specialized finite element models for biological systems, transitioning from muscle mechanics to respiratory and swallowing physiology. The publications demonstrate collaborative work with international institutions including Steward/St. Elizabeth Hospital in Boston. Stojanović has participated in multiple international scientific projects including FP7 and TEMPUS initiatives. He serves as lead researcher on a bioengineering project with Steward/St. Elizabeth Hospital in Boston. Additionally, he is a co-founder of the Serbian Society for Computational Mechanics and serves on the Entrepreneurship Committee of the University of Kragujevac, demonstrating commitment to both academic advancement and practical application of research. He leads the Group for Mathematical Modeling and Computer Simulations, which serves as his primary research unit. This group focuses on developing advanced computational frameworks for engineering and biomedical applications, with particular attention to creating practical software solutions based on theoretical models.

Aleksandra Klašnja-Milićevićمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Data Mining

Aleksandra Klašnja-Milićević serves as a Professor at the Department of Mathematics and Informatics within the Faculty of Sciences at the University of Novi Sad, Serbia. Her office is located in the Computer Science section (new part, room 8), and she is contactable via email at akm@dmi.uns.ac.rs . Her research expertise spans Computer Science , with concentrated focus on Artificial Intelligence and Data Mining methodologies. These domains drive innovation in algorithmic development and large-scale data analysis, reflecting the department's computational research priorities. Scientific Awards: No awards or honors are documented in the available source material. Advising and Grants: The provided text contains no details regarding graduate student supervision, research grants, or funded projects.

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

Doni Pracner serves as an Associate Professor in the Department of Computer Science at the University of Novi Sad, Serbia, operating under the Department of Mathematics and Informatics (DMI). His research spans core domains of computer science with emphasis on artificial intelligence methodologies. Key focus areas include: Machine Learning algorithm development Natural Language Processing systems Data Mining techniques Software Engineering frameworks Artificial Intelligence applications Computer Science theory Contact is facilitated through his institutional email and personal academic page.

Ivana Stojiljkovićمشاهده پروفایل

مدرس

• Organic Chemistry
• Computational Chemistry
• Nanotechnology
• +۴ مورد دیگر

Ivana Stojiljković is a Lecturer in Chemistry at the Faculty of Forestry , University of Belgrade . She has been employed since 2015 and holds a PhD in Theoretical Chemistry from the same university's Faculty of Chemistry. Her research focuses on organic chemistry , computational chemistry , and nanotechnology , particularly in adsorption technologies for environmental applications . Education: BSc, MSc, and PhD in Chemistry (University of Belgrade) Professional Affiliations: Serbian Chemical Society, Educational Forum, Petnica Research Station (visiting lecturer since 2019) Her recent publications highlight interdisciplinary work combining organic synthesis , quantum chemical modeling , and environmental remediation . She has contributed to projects on pesticide removal , heavy metal biosorption , and chemical valorization of waste materials . Her 2025 study on Douglas Fir needles for heavy metal retention and 2023 work on braneworld theory demonstrate her broad research scope. She co-authored the textbook "Praktikum iz Hemije sa radnom sveskom" (2018) for forestry students and participated in the CLEVER Cities initiative (2020), a Horizon 2020-funded project. Her article trends include adsorption mechanisms , quantum modeling , and sustainable materials . Collaborations span institutions like Ghent University (South Korea) and projects funded by the Ministry of Science, Republic of Serbia . She has no explicitly listed scientific awards but contributes to promotional activities at the Faculty of Forestry.

Ljubiša Bojićمشاهده پروفایل

پژوهشگر ارشد

• Artificial Intelligence
• AI Ethics
• Recommender Systems
• +۵ مورد دیگر

Ljubiša Bojić is a Senior Research Fellow at the Digital Society Lab (DigiLab) within the Institute for Philosophy and Social Theory at the University of Belgrade and concurrently at the Institute for Artificial Intelligence of Serbia. He serves as External Faculty at the Complexity Science Hub Vienna, focusing on AI's societal implications, particularly AI alignment, recommender systems, and metaverse ethics. His work bridges communication science, futurology, and digital humanism to address critical challenges in technology governance. Education: Ph.D. in Communication Science, University of Lyon II, France (2014) Research Focus: Bojić investigates how AI systems can uphold human values through ethical design, with emphasis on recommender algorithms as the most powerful social force shaping contemporary society. His pioneering work on digital addictions examines how AI-driven platforms create echo chambers and social polarization. He advocates for declaring recommender systems a public good and digital identity a human right, exploring both the addictive risks and therapeutic potentials of immersive technologies like the metaverse. Publication Trends: His recent output (2022-2025) reveals a strategic evolution from analyzing digital addiction mechanisms toward developing concrete AI governance frameworks. Key themes include linguistic pragmatics in large language models, consciousness metrics in AI, and cross-platform social dynamics. His research increasingly informs global policy through rigorous computational social science methods applied to real-world challenges like vaccine hesitancy and political polarization. Scientific Recognition: Fellow, Institute for Human Sciences Vienna (IWM) (2023) Member, United Nations Environment Programme Foresight Expert Panel (2023) Policy Engagement: Bojić co-developed Serbia's AI ethics standards and advised Spain's AI strategy. His Horizon Europe project TWON generated Policy Handout No. 8, mandating algorithms to deliver emotionally balanced, diverse content. His 'CERN for AI' framework influenced G7 policy briefs and was featured by the World Economic Forum. He regularly testifies before international bodies on AI governance. Institutional Leadership: As founder of EMERGE: Forum on the Future of AI Driven Humanity and initiator of the Belgrade Digital Freedom Pledge (signed by OSCE officials), he drives global conversations on digital rights. At DigiLab, he leads research on social media dynamics using big data analytics, while coordinating international networks like COST Action CA21129 on opinion analysis.

Miodrag Brzakovićمشاهده پروفایل

استاد

• Computer Science
• Quality Management
• Integrated Management Systems
• +۵ مورد دیگر

Miodrag Brzaković is a Full Professor and President of the Council at the Faculty of Applied Management, Economics and Finance, University of Economics and Business in Novi Sad, where he has taught since 2010. His academic leadership spans informatics and general management disciplines within Serbia's higher education sector. His educational background includes: Doctorate in Security Sciences (University of Belgrade, 2009) Master's in Electrical Engineering (University of Belgrade, 1988) Diploma in Telecommunications Engineering (Military Technical Academy Zagreb, 1977) Brzaković's research focuses on the intersection of computer science and management systems, with emphasis on information security standards (ISO 27000), quality management (ISO 9001), and sustainable development applications. His work bridges theoretical frameworks with practical implementations in logistics, healthcare, and tourism sectors, often utilizing multi-criteria decision-making methodologies like EDAS. He actively contributes to standardization through Serbia's Commission KS I1224 for IT security and financial services. Analysis of his 15 most recent publications (2015-2019) reveals consistent application of decision science to real-world problems: tourism site selection, mining safety, urban planning, and personnel management. A dominant theme is adapting international standards (ISO, SERVQUAL) to Serbian industry contexts while addressing ecological and social sustainability. His professional certifications include: Lead Auditor for SRPS ISO/IEC 27001:2013 (Information Security) Lead Auditor for SRPS ISO 9001:2008 (Quality Management) With extensive pre-academic experience directing military telecommunications (1988-1997) and defense IT systems (1997-2006), Brzaković brings operational expertise to his academic role. He has led projects implementing integrated management systems for business information, health information, and sports facilities, often collaborating with Serbian Standardization Institute on security protocols. His current work emphasizes sustainable development frameworks for rural tourism and smart city planning.

Darjan Karabaševićمشاهده پروفایل

استاد

• Computer Science
• Multi-criteria decision-making
• Management
• +۲ مورد دیگر

Darjan Karabašević is currently serving as the Acting Dean and Full Professor at the Faculty of Applied Management, Economics and Finance, University of Economics Academy in Novi Sad. He was elected to the position of Acting Dean on April 29, 2023, and achieved the rank of Full Professor for the narrow scientific fields of General Management and Informatics on February 22, 2023. Prior to this, he served as Vice-Dean for Research since March 1, 2018, and held positions as Associate Professor (2020) and Assistant Professor (2017) at the same institution. His educational background includes a Doctorate in Computer Science from the University of Novi Pazar (2022), another Doctorate from the Faculty of Management Zaječar, John Nesbitt University Belgrade (2016), Specialist Academic Studies from Megatrend University Belgrade (2012), and undergraduate studies at the Faculty of Management Zaječar, Megatrend University Belgrade (2009). He completed his secondary education at the Zaječar School of Economics and Trade. Professor Karabašević's research primarily focuses on multi-criteria decision-making methods, neutrosophic logic, fuzzy systems, and their applications in management and computer science. His work demonstrates a strong integration of mathematical modeling with practical business applications, particularly in personnel selection, supplier evaluation, website quality assessment, and e-commerce strategy development. He has published extensively on extensions of methods like WISP, TOPSIS, MULTIMOORA, and SWARA, often incorporating neutrosophic and fuzzy logic to handle uncertainty in decision-making processes. His publication record shows a consistent output of high-quality research, with over 200 scientific and professional papers, including more than 60 papers indexed in SCI/SSCI databases. His research has accumulated 2432 citations on Google Scholar, 863 on Web of Science, and 8 on Scopus, indicating significant impact in his fields of study. Professor Karabašević serves as the Editor-in-Chief of the Journal of Process Management and New Technologies (category M52) and is an editor for the SCI-indexed journal "Axioms" (category M22). He is a member of the editorial boards of numerous international journals including Neutrosophic Sets and Systems, International Journal of Neutrosophic Science, and Journal of Fuzzy Extension and Applications, among others. He has reviewed over 200 scientific papers for prestigious journals such as Mathematics, Applied Mathematics and Computation, Journal of Cleaner Production, and Omega. He has held significant leadership roles including being elected as Co-President and Head of the Neutrosophic Science International Association for Serbia (2018), and later becoming President of the association for Serbia (2022). He serves on the scientific committees of multiple international conferences including the International Congress on Aviation Management and conferences on Sustainable Development based on Knowledge (ERAZ). His professional activities also include serving as a reviewer for the National Body for Accreditation and Quality Assurance in Higher Education (NAT) since 2018 and previously for the Commission for Accreditation and Quality Assurance (KAPK) from 2017-2018.