Vanja Bevanda is a Full Professor at the Faculty of Economics and Tourism, University of Primorska in Pula. She holds a PhD from 2002 and has been employed at the institution since 2005, contributing to the Department of Quantitative Methods. Her educational background includes a BSc (1989), MSc (1995), and PhD (2002). Research Interests : Her work focuses on decision analytics, business intelligence, artificial intelligence applications in SMEs, data mining for customer behavior analysis, tourism development strategies, and the integration of technology in education. She explores topics like AI-driven managerial journeys, microchip implant adoption, and post-pandemic technology use trends. Publications : Recent articles highlight her contributions to AI transformation in SMEs, sentiment analysis during the pandemic, and mobile BI adoption in SMEs. Her research spans both theoretical frameworks and practical case studies across Croatia and beyond. Teaching : She teaches courses including Business Decision-Making, IT Project Management, and Database Systems. She emphasizes bridging theoretical knowledge with practical skills in information systems education.
Danijel Grahovac is an Associate Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. His academic career spans multiple research areas in probability theory and applied statistics, with particular focus on stochastic processes and their applications. His educational background includes a PhD in mathematics from the Faculty of Natural Science, Department of Mathematics, University of Zagreb (2015), with a thesis titled Scaling properties of stochastic processes with applications to parameter estimation and sample path properties , supervised by N.N. Leonenko and M. Benšić. He also holds two Master's degrees (2010, 2016) and a Bachelor's degree (2008) in Mathematics from the University of Osijek. Grahovac's research primarily focuses on limit theorems, scaling properties of stochastic processes (including self-similarity and multifractal processes), heavy-tailed distributions, and applied probability and statistics. His work often bridges theoretical developments with practical applications in fields such as image analysis, seismology, and financial modeling. He has developed innovative clustering algorithms and contributed significantly to the understanding of supOU (superpositions of Ornstein-Uhlenbeck) processes and their properties. His recent publications (2023-2025) demonstrate continued productivity across multiple journals including Pattern Analysis and Applications, Bernoulli, and Journal of Theoretical Probability. The articles reveal a consistent research trajectory examining the behavior of stochastic processes, particularly focusing on intermittency, scaling properties, and applications to real-world problems like earthquake analysis and image segmentation. Grahovac leads the project Scaling in stochastic models , funded by the Croatian Science Foundation since December 2023. Previously, he led another project Limiting behavior of intermittent processes and diffusions funded by the University of Osijek (2019/2020). He has served on editorial boards including as Co-Editor of Croatian Operational Research Review and participated in organizing committees for several statistical conferences. As an educator, Grahovac teaches Probability (Winter semesters), Time Series Analysis, and Statistical Learning (Summer semesters). His teaching materials, primarily in Croatian, cover advanced statistical methods with practical implementations in R.
Miljenko Klarić is an Associate Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, Department of Wood Technology. He holds a PhD and has been conducting postdoctoral research since 2015. His professional experience spans academia and industry, including roles as an assistant (2011–2015), technologist, chief engineer, and Safety at Work Manager in the wood industry. He teaches courses in wood materials production process design and communicates in Croatian and English. Dr. Klarić's research focuses on thermo-hydro-mechanical wood processing, wood color changes during treatment, and wood modification technologies. His work integrates sustainability, material science, and industrial applications, addressing topics like FSC certification impacts, heat treatment effects, and additive manufacturing in furniture design. He has contributed to over 30 peer-reviewed publications and conference proceedings since 2013, emphasizing process optimization, occupational safety, and wood-based material innovation. His articles highlight trends in sustainable manufacturing, with recent emphasis on hybrid decision-making models for process optimization and environmental impacts of wood treatments. He actively participates in international conferences and collaborates on projects addressing Croatian wood industry challenges, including quality management systems and FSC compliance. Education: PhD in Wood Technology (postdoctoral studies ongoing since 2015) Key Contributions: Over 30 publications, development of Hygrocalculator tools, and industry partnerships for safety and quality assurance Labs/Teams: Involved with the Institute of Wood Science and Institute for Materials Technology at the Faculty
Kristina Krklec is an Associate Professor at the Department of Soil Science, Faculty of Agriculture, University of Zagreb, where she teaches courses including Global Ecology, Geomorphology with Fundamentals of Geology, and Geomorphology and Landscape Ecology. She earned her PhD in Geology from the University of Zagreb's Faculty of Science in 2011, focusing on carbonate rock corrosion and relief genesis. Her career progression includes roles as Assistant (2008–2012), Senior Assistant (2012–2016), Assistant Professor (2016–2021), and Associate Professor (2021–present). Her research centers on karst geomorphology, rock weathering, and paleoclimate reconstruction , utilizing isotopic analysis, U-Th dating, and denudation measurement techniques. She investigates pedogenic carbonates, cave ventilation dynamics, and soil-cave hydrology to decode past climate signals and landscape evolution. International collaborations include projects at the University of São Paulo (speleothem analysis), Xi'an Jiaotong University (isotope dating), and University of Minnesota (carbonate sediment dating). Research trends from her publications reveal a strong emphasis on karst system responses to climate change , integrating field measurements (e.g., rock tablet denudation, dripwater conductivity) with geochemical modeling. Recent works explore thermal impacts on speleothem records, pedogenic carbonate formation, and continental-ocean climate teleconnections during glacial cycles. Coordinated projects include antibiotic resistance in karst caves (MZOM/OeAd), karst denudation methodology (Croatian Science Foundation), and paleoenvironmental studies in Krka National Park. No scientific awards are documented. Laboratory expertise includes isotope analysis at Minnesota Isotope Laboratory and CENIEH (Spain). Fieldwork spans Croatia's Northern Velebit, Krka National Park, and North Dalmatian Plain, with technical focus on cave monitoring systems and erosion quantification.
Dr. Dario Omanović is a Scientific Advisor with permanent appointment at the Ruđer Bošković Institute in Croatia, leading the Laboratory for Physical Chemistry of Traces within the Division for Marine and Environmental Research. His work focuses on electrochemical methodologies for trace metal speciation in marine, estuarine, and freshwater systems. PhD in Chemistry (University of Zagreb, 2001) MSc in Oceanography (University of Zagreb, 1996) BSc in Chemical Engineering (University of Zagreb, 1993) Research interests include: Trace metal speciation and bioavailability Environmental electrochemistry Marine and estuarine pollution dynamics Development of analytical tools and software for electrochemical data Interaction of metals with dissolved organic matter Application of DGT (Diffusive Gradients in Thin films) for environmental monitoring His recent publications emphasize: Ultra-trace platinum detection in estuaries Mercury contamination patterns in coastal zones Organic matter-metal interactions in pristine systems Redox speciation of chromium in transitional waters Novel electrochemical tools for environmental analysis Long-term metal monitoring in urbanized coastal areas Awards include the University of Zagreb award for best student research (1993) . He has mentored numerous PhD and MSc students, including: Saša Marcinek (PhD, 2021) Ana-Marija Cindrić (PhD, 2015) Petra Cmuk (PhD, 2005) Yoann Louis (PhD, 2008) Major projects: INTERREG CRO-ITA pollution risk models (2020) Chinese/Croatian metal speciation collaborations (2017-2020) HRZZ projects on coastal water quality (2015-2019) MEDPAN ecological footprint studies (2018-2020) He contributes to: COST Action TD1407 (technology-critical elements) CIESM commissions (Mediterranean research) Scientific software development for electrochemical data processing Environmental impact assessments for coastal developments
Marko Erceg is a Full Professor at the Faculty of Kinesiology, University of Split , Croatia, where he also serves as Vice-Dean for Business Policy and Finances. His academic work spans both mathematical analysis (Friedrichs systems, entropy solutions, H-distributions) and applied sports science (soccer, futsal, motor abilities, physiological assessments). He teaches courses such as Theory and Methodology of Soccer and Futsal , and coordinates Sports Trainer programs. Education : PhD in Kinesiology (University of Split, 2011); earlier degree from Faculty of Natural Sciences and Mathematics (2000). His research bridges mathematical modeling of physical systems and kinesiological studies in sports performance . Recent mathematical articles focus on partial differential equations, stochastic processes, and operator theory, while sports-science works analyze youth soccer development, training load effects, and physiological adaptations in athletes. Notable trends in his publications include: 2025–2023: Mathematical analysis of kinetic equations, entropy solutions, and Friedrichs systems. 2024–2023: Sports training interventions (HIIT), positional and age-related performance differences in soccer/futsal. 2022–2013: Longitudinal studies on glucosamine therapy, pulmonary function in athletes, morphological asymmetry, and test reliability in kinesiology.
Morana Fudurić, PhD is an Associate Professor at the Department of Marketing , Faculty of Economics & Business, University of Zagreb. She received her PhD in Communication Sciences from Universita della Svizzera italiana, focusing on social media relationship orientation and business performance. Education: Master's in Business Economics & Marketing Communication (University of Zagreb), PhD in Communication Sciences (Universita della Svizzera italiana) Research Interests : Computational advertising Data-driven marketing Integrated marketing communications Digital media consumption Technological disruption in media Consumer behavior in digital ecosystems Recent Article Trends explore generative AI ethics in academia, psychographic segmentation in private label consumption, algorithmic allocation in digital platforms, and political advertising personalization. Her work bridges behavioral experiments with big data analysis. Scientific Awards : EMAC Junior Faculty Visiting Program Award (2018) Professional Experience includes industry work at IMAGO advertising agency and Core media TV production, which she integrates into teaching. She serves as Vice President for Membership & Communication at the European Marketing Academy (EMAC).
Vilko Smrečki is a Senior Researcher and Assistant Director at the NMR Centre of Ruđer Bošković Institute in Zagreb, Croatia. He holds a Ph.D. in Chemistry from the University of Zagreb (1998) and has maintained continuous academic engagement through teaching and research collaborations with the University of Zagreb and University of Split. His research spans NMR spectroscopy applications in biochemistry, material science, and quantum chemical modeling. Key interests include structural analysis of bioactive molecules, DNA/RNA secondary structures, zeolite nanomaterials, and machine learning applications in NMR data interpretation. His work demonstrates strong interdisciplinary collaboration across chemistry, physics, and computational science. Analysis of his 15 most recent publications reveals a consistent focus on advancing NMR methodologies for complex systems, with increasing integration of computational approaches since 2015. His research bridges fundamental NMR physics with practical applications in petroleum analysis, glycobiology, and nanomaterial characterization. Ruđer Bošković Institute Award for best scientific papers (2020) Smrečki has mentored numerous graduate students across chemistry programs at the University of Zagreb and supervised multiple doctoral theses. His current leadership of the Horizon Europe R-NMR project demonstrates ongoing grant acquisition success. The NMR Centre under his direction maintains active collaborations with international research groups and provides essential infrastructure for structural analysis across multiple scientific disciplines.
Andrej Novak is an Associate Professor at the Theoretical Physics Department , Faculty of Science, University of Zagreb. He holds a PhD in Mathematical Models of Flow in Porous and Mixed Media (2017) and a Master's in Mathematical Model of Piano String (2011), both from University of Zagreb. Research Interests span: (1) Partial Differential Equations & Mathematical Modeling, (2) Numerical Solutions of PDEs, (3) Data Analysis Algorithms (bioinformatics/medical applications). Current focus includes shock filter equations, medical image processing, and cardiovascular pharmacotherapy modeling. Key Projects include leading the 2024 HRZZ-funded 'From PDEs to Deep Learning: Advancing Medical Image Processing' and contributing to projects like 'Analysis of partial differential equations and shape optimization' (HRZZ, 2023). He has participated in international collaborations including Austrian-funded 'Vanishing Capillarity on Smooth Manifolds' (2019). Teaching responsibilities include courses like Computational Neuroscience, Introduction to Computer Science, and Numerical Mathematics. He advises on C++ programming, AI fundamentals, and mathematical modeling across undergraduate and graduate levels. Publications highlight contributions in journals like Archive for Rational Mechanics and Analysis (2024), Applied Soft Computing (2025), and Canadian Journal of Cardiology (2025), focusing on interdisciplinary applications of PDEs, machine learning in healthcare, and image processing techniques.
Krešimir Burazin is a Full Professor and Vice-Dean for Scientific Research at the School of Applied Mathematics and Informatics within the Josip Juraj Strossmayer University of Osijek. His academic career spans over two decades, with a PhD from the University of Zagreb (2008) specializing in Friedrichs systems and hyperbolic systems under Prof. Nenad Antonić. Research Interests include Partial Differential Equations, Continuum Physics, and Functional Analysis. He focuses on homogenization theory, optimal design problems, and applications in elasticity and composite materials. His work bridges theoretical mathematics with engineering problems, particularly in structural optimization and mathematical modeling. Publications emphasize contributions to Friedrichs systems, G-convergence, and elasticity. Recent work addresses explicit energy bounds for 3D structures, optimal plate design, and composite materials. His research spans applied analysis, numerical methods, and interdisciplinary collaborations in mechanics. Projects include leadership roles in homogenization research (Croatian Science Foundation-funded), and participation in EU-funded networks like COST MI-NET. He coordinates international projects and has extensive collaboration with institutions in Serbia, Germany, and elsewhere. Teaching includes advanced courses in Functional Analysis, Differential Equations, and Mathematical Physics. He authored textbooks on calculus and variational methods, emphasizing pedagogical rigor and practical applications.
Boris Muha is a Professor in the Department of Mathematics at the University of Zagreb's Faculty of Science. His research focuses on fluid-structure interaction, mathematical modeling in biomechanics, and numerical analysis of partial differential equations. He has contributed extensively to the analysis of complex systems involving fluid dynamics, poroelasticity, and nonlinear structural mechanics. Key research areas include the mathematical analysis of fluid-structure interaction problems, computational methods for porous media, and the development of reduced-order models using deep learning. Recent work emphasizes rigorous derivation of reduced models, validation of solvers for fluid-poroelastic systems, and optimal design of bioartificial organ scaffolds. His publications from 2024–2025 highlight advancements in global weak solutions for fluid-structure systems, nonlinear geometric coupling, and applications to biomedical engineering. Notably, he explores self-propulsion mechanisms in viscous fluids and stability analysis of coupled systems. Awards and grants are not explicitly listed in the provided text. His advising and collaborations span interdisciplinary projects in computational fluid dynamics and mathematical biology, with active participation in international research networks.
Dr. Mario Bukal is an Assistant Professor at the University of Zagreb’s Faculty of Electrical Engineering and Computing, Department of Applied Mathematics. He specializes in Partial Differential Equations (PDEs), particularly evolution equations and systems, with current involvement in the Croatian Science Foundation-funded project Mathematical Analysis of Multi-Physics Problems Involving Thin and Composite Structures and Fluids (MAMPITCoStruFl) . His research focuses on fluid-structure interaction, nonlinear systems, and mathematical modeling. He has taught courses in Mathematics, Probability & Statistics, and Stochastic Processes at both undergraduate and PhD levels, including roles at Vienna University of Technology. Education & Positions: Holds a PhD and has taught at multiple institutions, including TU Wien. Research Interests: Nonlinear PDEs, fluid dynamics, quantum mechanics, and applied mathematical analysis. His recent publications emphasize rigorous derivation of reduced models for complex systems, entropy analysis in quantum diffusion, and numerical schemes for fourth/sixth-order equations. Bukal actively contributes to seminars and conferences on nonlinear analysis and differential equations.
Marina Manganaro is an Associate Professor at the Department of Theoretical Physics and Astrophysics, Faculty of Physics, University of Rijeka. She is actively engaged in high-energy astrophysics research, particularly in gamma-ray astronomy using major international facilities including the MAGIC telescopes, Cherenkov Telescope Array (CTA), and Large Size Telescope (LST) collaborations. Her academic journey includes postdoctoral positions at prestigious institutions including the University of Rijeka, Instituto de Astrofísica de Canarias in Spain, and Tyndall National Institute in Ireland. PhD in Nuclear and Subnuclear Physics, University of Messina (2009) Master of Physics, University of Messina (2005) Dr. Manganaro's research primarily focuses on high-energy astrophysical phenomena, with particular emphasis on blazar physics, multiwavelength observations of active galactic nuclei, and indirect dark matter searches. Her work involves analyzing data from major gamma-ray observatories to understand particle acceleration mechanisms in extreme cosmic environments. She has made significant contributions to the study of gravitationally lensed blazars, gamma-ray binaries, and transient high-energy events. Her research bridges observational astronomy with theoretical models to probe fundamental physics in astrophysical settings. Her recent publications demonstrate a strong trend toward multi-messenger and multiwavelength approaches to studying high-energy phenomena, particularly focusing on blazar variability, gamma-ray bursts, and dark matter signatures. She has been instrumental in several major collaborations that have pushed the boundaries of very-high-energy gamma-ray astronomy, including observations that have expanded the gamma-ray horizon beyond redshift 0.9. Nagrada za najbolji znavstveni rad (2023) for research on gravitationally lensed blazar QSO B0218+357 Florian Goebel Prize (2016) for fundamental work expanding the very-high-energy gamma-ray horizon beyond redshift 0.9 Dr. Manganaro actively mentors students at the University of Rijeka, supervising numerous master's and diploma theses on topics ranging from dark matter searches to blazar physics and nuclear astrophysics. She is deeply involved in international collaborations including SWGO, NuGrid, LST, CTA, and MAGIC, contributing to major advances in gamma-ray astronomy. Her research group participates in cutting-edge observational campaigns and data analysis efforts that push the boundaries of high-energy astrophysics. As a member of multiple international collaborations including SWGO, NuGrid, LST, CTA, and MAGIC, Dr. Manganaro works at the forefront of gamma-ray astronomy. Her laboratory work involves sophisticated data analysis techniques applied to observations from the world's most advanced gamma-ray telescopes, contributing to our understanding of extreme cosmic particle accelerators and fundamental physics in astrophysical environments.
Prof. Dr. Vinko Zaninović is an Associate Professor at the Faculty of Economics (EFRI), University of Rijeka. His academic roles include teaching undergraduate and postgraduate courses in International Economics, Econometrics, and Global Value Chains. He specializes in international trade theory, regional integration, and applied econometrics. His research focuses on trade margins, gravity models, agricultural economics, and Croatian economic integration processes. He contributes to the International Economics undergraduate program and Advanced Econometrics postgraduate studies. His work frequently analyzes EU trade dynamics, wine industry trade patterns, and logistics impacts on international commerce. He has published extensively on topics such as intra-industry trade in CEE countries, Mediated Market Access in the Croatian wine sector, and pandemic effects on medical goods trade. His teaching spans models of business decision-making, econometric diagnostics, and policy analysis. Education: PhD in Economics Courses Taught: International Economics, Econometric Methods, Global Value Chains Analysis, Panel Data Analysis Research Interests: Trade theory applications, regional integration effects, empirical analysis of trade policies, and logistics efficiency. He frequently employs gravity models and panel data techniques in his studies. His work bridges theoretical frameworks with practical policy implications for Croatia’s economic positioning within the EU. Recent publications highlight trends in sustainability-driven agricultural trade, wine industry dynamics, and the role of logistics in trade facilitation. He has also analyzed voter preferences in Croatian elections through an economic lens. No scientific awards or grants are explicitly listed. Advising roles are unspecified. He is actively involved in EFRI’s academic programs and contributes to research on global value chains and regional development.
Dana Dobrić Jambrović is an Associate Professor at the Department of Administrative Science, University of Rijeka, and serves as Vice-Dean for Professional Studies. Her academic work focuses on public administration, Europeanization processes, and local governance in Croatia and the broader European context. Department of Administrative Science, University of Rijeka Research on Europeanization of local government Expertise in Croatian subnational governance Focus on citizen participation and policy harmonization Dana Dobrić Jambrović's research explores how Europeanization influences local governance structures, particularly in Croatia. She investigates the implementation of EU standards in local government practices, the role of transnational municipal networks, and the balance between national reforms and supranational frameworks. Her work also addresses crisis management, as seen in her studies on Croatia's response to the COVID-19 pandemic at the local level. Her recent publications highlight trends in local governance adaptation, including participatory democracy initiatives, administrative reforms, and responses to globalization. Articles span topics like competency-based human resource management in public administration and ICT-supported governance models. As Vice-Dean for Professional Studies, she contributes to academic leadership while maintaining an active research agenda in public policy and governance.
