جستجوی استاد راهنمای دانشگاهی

Nemanja Stanišićمشاهده پروفایل

استاد

• Corporate Finance
• Banking
• Audit
• +۳ مورد دیگر

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.

Akanksha Agrawalمشاهده پروفایل

استادیار

• Parameterized Complexity & Algorithms
• Graph Algorithms
• Computational Geometry
• +۳ مورد دیگر

Akanksha Agrawal is an Assistant Professor and Veena and Induprakas Keri Faculty Fellow at the Department of Computer Science and Engineering, Indian Institute of Technology Madras. Her research focuses on Parameterized Complexity & Algorithms, Graph Algorithms, Computational Geometry, Exact Algorithms, and Fine Grained Algorithms & Complexity. She has held postdoctoral positions at Ben-Gurion University of the Negev (Israel) and the Hungarian Academy of Sciences, funded by a PBC Fellowship. She earned her Ph.D. from the University of Bergen under Professors Saket Saurabh and Daniel Lokshtanov. Education: Ph.D., University of Bergen, Norway (2017-2021) Postdoctoral Researcher, Ben-Gurion University of the Negev, Israel (2021-2022) Postdoctoral Researcher, Hungarian Academy of Sciences, Hungary (2022-2023) Research Interests: Her work emphasizes parameterized complexity, graph algorithms, and computational geometry. She explores exact algorithms, fine-grained complexity, and algorithmic approaches to NP-hard problems. Her research bridges theoretical insights with practical algorithmic solutions. Recent Activities & Awards: ACM-India Eminent Speaker (2024-2026) Invited Talks: COMSNETS 2025, IISc Bengaluru (2024), Bali Parameterized Graph Algorithms (2024) Program Committee Roles: IPEC 2025 (Co-Chair), WG 2025, CALDAM 2025 Grants & Academic Services: Organizing Dagstuhl Seminar (Jan. 2025) with Maria Chudnovsky, Daniel Paulusma, and Oliver Schaudt Contributions to international conferences and workshops Teaching: Courses include Combinatorial Objects, Parameterized Algorithms, Design & Analysis of Algorithms, Approximation Algorithms, and Advanced Data Structures.

Zoran Kalinicمشاهده پروفایل

استادیار

• Information Systems
• Electronic Business
• Mobile Commerce
• +۴ مورد دیگر

Zoran Kalinic serves as an Assistant Professor at the Faculty of Economics, University of Kragujevac, where he teaches Electronic Business since October 2012. Previously, he worked at the Faculty of Mechanical Engineering in Kragujevac from 1996 to 2005, and joined the Faculty of Economics in February 2005 as an assistant in Information Systems, later teaching Information Technology and Electronic Business from 2009 onward. Doctorate (2012): Faculty of Engineering, University of Kragujevac, specializing in information systems development and mobile communications Postgraduate studies: Faculty of Mechanical Engineering in Kragujevac (completed with average grade of 10) Bachelor's degree: Faculty of Mechanical Engineering in Kragujevac (1996, average grade 9.43) Professor Kalinic's research focuses on digital transformation and its economic implications, with particular expertise in mobile commerce, electronic business systems, digital payment technologies, and consumer behavior in online environments. His work frequently employs advanced analytical methods including artificial neural networks, structural equation modeling, and hybrid analytical approaches to investigate technology adoption patterns and digital marketplace dynamics. He has conducted extensive research on Serbian digital markets, including studies on mobile payment systems, e-commerce development barriers, and real estate price prediction using AI techniques. His publication record demonstrates a clear progression from foundational technology acceptance research toward more complex analyses of digital ecosystems, with recent work examining influencer marketing effects on TikTok, biometric payment systems, and gig economy measurement in Serbia. The integration of artificial intelligence methodologies with traditional consumer behavior theories represents a distinctive feature of his scholarly approach. Professor Kalinic maintains active international academic engagement through short study visits to institutions including the University of Udine, Vienna University of Economics, University of Maribor, Krakow University of Economics, Coventry University, Polytechnic of Turin, and Comenius University in Bratislava. He spent six weeks at the University of Maribor in 2007 through a Tempus IMG grant and served as a visiting lecturer at the Krakow University of Economics in 2012. Author/co-author of over 60 papers in international and domestic journals and conferences Participant in multiple scientific research and professional projects Recipient of academic awards during studies from University, Faculty, Ministry of Science and Technology of Serbia, Embassy of Norway, WUS-Austria, Zastava-Yugo Automobiles, and Kragujevac City Assembly His professional development includes a month-long visit to the Faculty of Informatics at the University of the Basque Country in San Sebastian (2004) and ongoing collaboration with regional and European academic institutions. Professor Kalinic's research bridges theoretical frameworks with practical applications in the Serbian and Western Balkan digital economy context.

Jasna Simonović Radosavljevićمشاهده پروفایل

پژوهشگر

• Material Science
• Biotechnology
• Physical Chemistry
• +۳ مورد دیگر

Jasna Simonović Radosavljević is a Senior Researcher at the Institute for Multidisciplinary Research, University of Belgrade, specializing in the design and application of materials derived from plant cell walls. Her work focuses on leveraging FTIR spectroscopy, crystallographic methods, and DPLS microscopy to analyze structural properties of biopolymers. Doctor of Physical and Chemical Sciences (2018) – Faculty of Physical Chemistry, University of Belgrade Master of Physical Chemistry (2009) – Faculty of Physical Chemistry, University of Belgrade BSc in Physical Chemistry (2008) – Faculty of Physical Chemistry, University of Belgrade Her research explores plant cell wall modifications for sustainable materials, with emphasis on environmental applications and biodegradable polymers. She has contributed to studies on lignocellulosic biomass, compression wood formation, and biosensor development. Recent publications highlight trends in lignocellulosic biomass characterization for electrochemical sensing, structural analysis of wood polymers, and biodegradable polymer applications in soil protection and cereal fortification. 2018: Participant and scholarship holder, International School of Biophysics "Academician Radoslav K. Anđus" (NERKA) 2009, 2011: COST Action FP0802 STSM research fellowship grant at Innventia, Stockholm, Sweden She has participated in 12 projects, including COST actions, bilateral initiatives between Serbia-Croatia, and national grants focused on nanomaterials, plant cell wall engineering, and soil-biotechnology integration. Her expertise spans atomic force microscopy, polarized FTIR, and X-ray diffraction.

• Functional Analysis
• Generalized Functions
• Integral Transforms
• +۷ مورد دیگر

Stevan Pilipović is a Full Professor at the Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad. His research spans generalized functions, integral transforms, pseudodifferential operators, and fractional calculus. He holds a PhD in Mathematics from the University of Novi Sad (1979) and has led key academic roles, including editorships in journals like Integral Transforms and Special Functions and Pseudo-Differential Operators and Applications . Education: BSc in Mathematics, University of Novi Sad (1973) MSc in Mathematics, University of Belgrade (1977) PhD in Mathematics, University of Novi Sad (1979) Professional Activities: Leader of the Generalized Product and Integral Transformations seminar Editorial roles in multiple international journals Supervisor of numerous research projects in functional analysis and mathematical physics Research Interests: Pilipović’s work emphasizes microlocal analysis, fractional calculus in viscoelasticity, and stochastic PDEs. Key contributions include monographs on generalized functions and Fourier analysis, with over 400 publications. His research bridges pure mathematics (e.g., ultradistribution theory) and applications in mechanics and signal processing. Grants and Collaborations: Active in international collaborations, including projects on fractional Zener models and stochastic dynamics. His work frequently intersects with engineering and physics, addressing real-world problems in material science and wave propagation.

• Theoretical Computer Science
• Algorithm Design
• Distributed Computing
• +۶ مورد دیگر

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.

Miloš Rackovićمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Databases
• +۴ مورد دیگر

Miloš Racković serves as a full Professor in the Department of Mathematics and Informatics at the University of Novi Sad, Serbia. He maintains active academic engagement through the Laboratory for the development of information systems, with his office located in the Information technologies and systems office (DMI&DF) on the second floor, room 49. Contact is available via telephone (485)-2868 or email rackovic@dmi.uns.ac.rs, and his personal website (http://www.is.pmf.uns.ac.rs/rackovicm/) provides additional resources. His research spans foundational and applied computer science, with seminal contributions in fuzzy database systems including PFSQL query language development and prioritized fuzzy logic for relational databases and XML. He has pioneered deep learning methodologies through innovative classification techniques using negative and missing features in convolutional neural networks. Additional expertise includes high-performance computing implementations of Lattice Boltzmann methods using OpenCL, robotics (symbolic modeling and trajectory planning), and blockchain applications for Industry 4.0 production processes. His sports analytics work applies neural networks to basketball player and referee movement analysis. Analysis of his 2012-2025 publications reveals a strategic evolution toward interdisciplinary applications, particularly in industrial transformation (blockchain-enabled traceability) and sports analytics. His work consistently bridges theoretical computer science with practical implementations, demonstrating increasing focus on real-world problem solving while maintaining strong foundations in database theory and computational methods. Professor Racković leads the Laboratory for the development of information systems, which focuses on advancing information system methodologies through formal modeling extensions (including Petri net innovations) and practical implementations for uncertainty management. The laboratory's work spans from foundational research in fuzzy logic systems to applied projects in high-performance computing and blockchain integration, fostering innovation in information technology development.

• 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.

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.

• Mechanical Engineering
• Machine Design
• Tribology
• +۴ مورد دیگر

Miloš Matejić serves as an Associate Professor at the University of Kragujevac's Faculty of Engineering Sciences, within the Department of Mechanical Constructions and Mechanization. His academic position involves active research and teaching in mechanical systems design. Research interests center on advanced mechanical engineering topics including: Cycloid drive efficiency optimization and stress analysis Tribological testing methodologies and material interactions Computational modeling of gear systems using FEM Parametric design automation for mechanical components Composite materials performance in dynamic applications Recent publications demonstrate strong focus on experimental validation of cycloid reducers, novel tribometers, and material optimization. No awards, student advisories, or grant activities are documented in available sources. Institutional collaboration occurs through the Faculty of Engineering Sciences' laboratories and research centers.

Jelena Miloševićمشاهده پروفایل

استادیار

• Structural Systems
• Spatial Structures
• Structural Morphology
• +۲ مورد دیگر

Jelena Milošević is an Assistant Professor at the Department of Architectural Technologies, University of Belgrade - Faculty of Architecture. She serves as Vice-Dean for Teaching and Student Affairs and specializes in structural systems, spatial structures, morphology, and optimization of structures. Her research combines computational design, digital fabrication, and sustainable construction methods. Education: Graduated in Architecture, University of Belgrade (2006) Enrolled in doctoral studies (2009) Her research focuses on generative design approaches for architectural structures, performance-based optimization, and applications of 3D printing in construction. She investigates biomimetic pattern applications in structural design and develops parametric workflows for complex geometries. Recent work explores circular economy potentials in architectural production through recycled materials and additive manufacturing. Publications demonstrate a strong focus on digital fabrication technologies in architectural education and practice. Recent articles examine hybrid pedagogical approaches integrating 3D printing technologies into design studios, material efficiency in additive-manufactured structural systems, and sustainable applications of recycled materials in digital fabrication. She has participated in research projects including 'Development and application of scientific methods in design and construction of highly economical structural systems using new technologies' funded by the Ministry of Education, Science and Technological Development of Serbia.

• Mechanical Engineering
• Construction Machinery
• Transportation Machinery
• +۴ مورد دیگر

Dr. Milomir Gašić is a full Professor at the University of Kragujevac, Faculty of Mechanical Engineering, Department of Construction and Transportation Machinery. He is affiliated with the Centre for Construction and Transportation Machinery and has made significant contributions to mechanical engineering research and education in Serbia. Dr. Gašić's research focuses on mechanical engineering, particularly in the areas of construction and transportation machinery design, structural optimization, and failure analysis. His work has practical applications in crane design, excavator systems, and vehicle engineering. He has served as an expert and project manager in the field of mechanization and structural engineering, implementing numerous project solutions. His publications consistently demonstrate expertise in mathematical optimization techniques applied to mechanical systems. His recent publications show a strong emphasis on optimization techniques for construction machinery, particularly crane booms and excavator components. He frequently employs mathematical methods like Lagrange's multipliers and differential evolution algorithms to solve complex engineering problems related to structural integrity and performance. His research bridges theoretical mathematics with practical mechanical engineering applications. Honorary Doctorate from Voronezh State University of Russia Significant contributions through work with the National Education Council of Serbia Contributions to the Main Scientific Committee for Mechanical Engineering Work with the Committee for Construction Machinery Standards Dr. Gašić has been instrumental in advancing scientific and technological development in Serbia through his committee work and has designed a license for responsible design of transport vehicles, warehouses, and mechanical structures issued by the Serbian Engineering Chamber. His work aligns higher education with Bologna Process requirements through TEMPUS projects. Dr. Gašić is actively involved with the Centre for Construction and Transportation Machinery at the University of Kragujevac, where he conducts research and development on new generations of bucket wheel excavator teeth and innovative concepts for rotating and non-rotating structures in transportation and construction machinery.

• Polymer Chemistry
• Physical Chemistry
• Materials Science
• +۳ مورد دیگر

Enis Džunuzović is an Associate Professor at the Department of Physical Chemistry and Electrochemistry, Faculty of Technology and Metallurgy, University of Belgrade. His primary research focus lies in polymer chemistry, specifically the physical chemistry of macromolecules, with expertise in polymer synthesis, characterization, and nanocomposite applications. Teaches courses including Colloid Chemistry, Physical Chemistry of Polymers, and Characterization of Polymer Materials. Mentored 15+ students in PhD, Master’s, and Basic Academic Studies since 2003. Research spans polymer blends, electroconductive polymers, and nanotechnology, with a focus on TiO2-polymer composites and their properties. His work has been published in journals like Macromolecular Materials and Engineering and European Polymer Journal , emphasizing macromolecular structure, polymer aging, and advanced materials characterization techniques. Email: edzunuzovic@tmf.bg.ac.rs

• Computational Chemistry
• Inorganic Chemistry
• Transition Metal Complexes
• +۳ مورد دیگر

Miloš K. Milčić is an Associate Professor at the Department of General and Inorganic Chemistry, Faculty of Chemistry, University of Belgrade. He holds a Ph.D. in Chemistry from the same institution and has been affiliated with the Faculty since 1999. His research focuses on computational chemistry, transition metal complexes, and molecular interactions, with a particular emphasis on crystal engineering and quantum chemical modeling. He has contributed to projects funded by the European Commission, Science Fund of Serbia, and international bodies. Education: Bachelor’s in Chemistry (1992–1998), Faculty of Chemistry, University of Belgrade Master’s in Chemistry (1998–2002), Faculty of Chemistry, University of Belgrade PhD in Chemistry (2002–2006), Faculty of Chemistry, University of Belgrade Research interests include computational studies of transition metal complexes, cation-π interactions, hydrogen bonding in porphyrin systems, and molecular modeling of catalytic materials. His work bridges theoretical chemistry and experimental crystallography, addressing fundamental questions in inorganic and organometallic chemistry. Key projects: IMPTOX (2021–2025): Investigating microplastic toxicity funded by Horizon 2020 TMMagCat (2022–2025): Designing molecular magnets funded by Serbia’s Science Fund ALG2MEAT (2023–2025): Algal extracts for cell-based meat funded by the Good Food Institute He has served as Vice Dean for Academic Affairs (2010–2013) and on committees for admissions and publishing. His work has been recognized through ORCID (0000-0002-0082-5278) and Scopus (ID 6507079694).

• Chemistry of natural products
• Phytochemistry
• Analytics of organic compounds
• +۳ مورد دیگر

Dr. Snezana S. Trifunovic is a full-time Researcher at the Faculty of Chemistry , University of Belgrade, affiliated with the Department of Organic Chemistry. She holds ORCID 0000-0001-9528-6686 and ResearcherID Q-5612-2016. Education: University of Belgrade PhD in Chemical Sciences (2006), Master's (1997), and BSc (1991) Academic roles: Scientific Advisor since 2018, Senior Research Associate (2012–2018), Research Associate (2007–2013), Assistant (1998), Assistant Trainee (1992) Her research focuses on phytochemistry , natural product analysis , and bioorganic chemistry , with particular interest in secondary metabolite profiling, plant-derived anticancer agents, and chemical characterisation of medicinal species. Recent projects include metabolomics for schizophrenia biomarker discovery (2021–2024) and portable GC-MS/LC-MS methods development for OPCW field testing (2017–2021). Publications emphasize bioactive natural products , polymer chemistry , and plant metabolite bioactivity across two decades of research output. Active in international collaboration with the Organisation for the Prohibition of Chemical Weapons (OPCW), she has contributed to 5 major research projects since 1998, including transgenic plant studies for anticancer compounds and chemoprotective DNA assays. Current work involves metabolomic fingerprinting of neuropsychiatric disorders and development of portable analytical devices.