جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Educational Technology
• Business Process Management
• +۵ مورد دیگر

Darko Etinger is an Associate Professor and currently serves as the Dean of the Faculty of Informatics at Juraj Dobrila University of Pula in Croatia. His academic career spans over two decades with significant contributions to the fields of information systems, educational technology, and artificial intelligence. He teaches undergraduate courses including Artificial Intelligence, Business Information Systems, Business Process Management, ICT Fundamentals, Information Systems, Introduction to Artificial Intelligence, and Multimedia Systems. At the graduate level, he teaches Development of IT Solutions, IT Management, Modelling and Simulation, and Project Management. He also supervises doctoral research in Management of Information Technologies in Education. Dr. Etinger's research interests span several key areas in computer science and education technology. He has made significant contributions to understanding how information and communication technologies can support children with special educational needs, as evidenced by his 2024 and 2025 books on the topic. His work also focuses on business process management, educational data mining, and the application of artificial intelligence in educational contexts. His 2024 book 'Introduction to R and RStudio' demonstrates his commitment to data science education. Analysis of his recent publications shows a strong focus on practical applications of technology in education and business. His work spans educational robotics, learning management systems analysis, business process modeling, and the application of large language models in healthcare. He has a particular interest in how technology can be made accessible and beneficial for diverse learner populations, including those with special needs. His research often takes a human-centered approach, examining not just the technology itself but how it's adopted and used by end users. His 2025 bibliometric analysis of metaverse security demonstrates his ability to tackle emerging technological challenges. Associate Professor at Faculty of Informatics, Juraj Dobrila University of Pula Current Dean of Faculty of Informatics Author of multiple publications on educational technology and information systems Supervisor for numerous graduate theses on educational technology topics Active participant in EDIH Adria project as evidenced by 2025 publications Researcher in educational robotics implementation in Croatian schools Dr. Etinger has advised numerous students completing their theses, with a focus on educational technology applications. His research has been published in various international conferences and journals including IEEE Engineering Management Review, Procedia Computer Science, and System Dynamics Review. His current research appears to be heavily focused on the EDIH Adria project, which is a European Digital Innovation Hub initiative focusing on technology transfer and business innovation. He maintains an active research program with publications spanning from 2003 to the present, demonstrating sustained scholarly contribution to his fields of expertise.

• Supramolecular Chemistry
• Molecular Self-Assembly
• Thermodynamic Studies of Complexation
• +۵ مورد دیگر

Tamara Rinkovec is a Senior Lecturer at the Ruđer Bošković Institute, affiliated with the Division of Organic Chemistry and Biochemistry. Her research focuses on supramolecular chemistry, molecular self-assembly, thermodynamic studies of complexation, and surface-induced phenomena. She leads projects at the Laboratory for the Computational Design and Synthesis of Functional Materials, exploring interfaces between organic and inorganic systems. Research Interests : Dr. Rinkovec's work spans calixarene-based host-guest chemistry, peptide-anion interactions, and the design of nanoconfined molecular systems. She investigates cooperative effects in self-assembly processes and chiral induction at solid-liquid interfaces. Her recent studies address laser-controlled intercalation dynamics and supramolecular architectures in confined spaces. Key Themes : Articles from 2023–2025 highlight advanced topics like reversible solvent intercalation in graphite, bisurea-functionalized molecular switches, and temperature-dependent network formation. Earlier work (2018–2020) established foundational studies on homocyclopeptide anion binding and chloride-assisted macrocyclization. Labs & Teams : Her lab integrates computational design with experimental synthesis to create functional materials. Ongoing projects include developing surface-responsive systems and studying energy transfer in confined environments.

Mile Šikićمشاهده پروفایل

استاد

• Computational Biology
• Genomics
• Deep Learning in Sequencing
• +۴ مورد دیگر

Prof. Mile Šikić is a Full Professor at the Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing (University of Zagreb). His research spans computational biology, genomics, and machine learning applications in sequencing technologies. Focus on nanopore sequencing analysis, genome assembly, and protein interaction prediction Developed tools like GraphMap , RiNALMo , and Orthobalancer Active in metagenomics, RNA structure prediction, and CUDA-based algorithm acceleration Scientific contributions include: Advances in de novo genome assembly for error-prone long reads Deep learning models for base modification detection Efficient algorithms for sequence alignment and similarity searches Technical implementations cover: GPU-accelerated sequence alignment libraries (e.g., SW# ) Web platforms for comparative protein analysis Simulation tools for epidemic spread on complex networks

Toni Milunمشاهده پروفایل

مدرس

• Mathematics Education
• Financial Mathematics
• Business Statistics
• +۳ مورد دیگر

Toni Milun serves as a lecturer in mathematics and statistics at Algebra University of Applied Sciences, where he bridges theoretical concepts with practical business applications. His academic foundation includes a 1999 degree from the Faculty of Science and Mathematics at the University of Zagreb and a 2012 postgraduate specialist degree in Statistical Methods for Economic Analysis and Forecasting from the Faculty of Economics in Zagreb. He is currently completing his doctoral research in Economics at the Faculty of Economics in Rijeka. His research spans Mathematics Education, Financial Mathematics, and Business Statistics, with a distinctive focus on making complex quantitative concepts accessible through innovative pedagogical approaches. Milun's work consistently connects mathematical theory to real-world economic scenarios, particularly in SME financing, investment analysis, and statistical literacy for decision-makers. His publications reveal a strong emphasis on practical applications in Croatian business contexts and educational settings. Analysis of his 15 most recent publications shows dominant themes in financial mathematics (35%), business statistics (30%), and adult education (25%), with recurring subfields including percentage calculations in commerce, regression modeling of socioeconomic factors, and maritime/IT-specific mathematical applications. His research demonstrates consistent engagement with Croatian economic data and educational challenges. His notable recognition includes: Pride of Croatia award for special contribution to education Milun actively disseminates knowledge through public-facing initiatives rather than formal academic advising. He has co-authored a high school mathematics textbook and provides consulting services in applied mathematics and statistics, focusing on business problem-solving. His educational outreach generates significant impact through digital platforms and traditional media. He leads the www.tonimilun.com educational portal and television productions ('Školski sat' and 'Financijalac'), directing teams of educators, video producers, and subject-matter experts to create accessible mathematical and financial literacy content for diverse audiences across Croatia.

Malcolm Cookمشاهده پروفایل

استاد

• low-energy building design
• indoor air quality
• ventilation
• +۲ مورد دیگر

Professor Malcolm Cook FREng serves as Professor of Building Performance Analysis and Dean of the School of Architecture, Building and Civil Engineering at Loughborough University. Professor Cook is a pioneering figure in low-energy building design , renowned for his expertise in indoor air quality and ventilation . His research focuses on building performance analysis with significant contributions to understanding how buildings can be designed for optimal energy efficiency while maintaining healthy indoor environments. His work has shaped building design and industry standards worldwide through partnerships with industry and contributions to CIBSE and ASHRAE guidelines on ventilation effectiveness and computer simulation. Fellow of the Royal Academy of Engineering (FREng) In 2021, Professor Cook demonstrated exceptional leadership by heading a Covid-19 pandemic research consortium that provided essential evidence to the UK government on safely reopening large entertainment and sporting venues. He has also shown sustained commitment to developing engineering skills and education both in the UK and internationally through various initiatives and partnerships that have influenced engineering curricula and professional development programs. As Dean of the School of Architecture, Building and Civil Engineering, Professor Cook oversees academic programs, research initiatives, and strategic development for the school, bridging the gap between theoretical research and practical application in building engineering.

• Fluid Dynamics
• Aerodynamics
• Environmental Engineering
• +۳ مورد دیگر

Hrvoje Kozmar is a Full Professor in the Department of Physics at the University of Zagreb's Faculty of Science. His research focuses on fluid dynamics, aerodynamics, and environmental engineering, with particular emphasis on wind energy systems, atmospheric boundary layer flows, and structural dynamics. His work addresses challenges in offshore engineering, wind turbine design, and urban building aerodynamics. Professor Kozmar has contributed to advanced computational models for hydrodynamic loads on offshore structures, turbulence effects on tall buildings, and wind energy harvesting systems. His studies on Bora wind dynamics and rotor blade aerodynamics highlight interdisciplinary applications in meteorology and renewable energy. Key projects include surrogate modeling for offshore monopiles, numerical simulations of wave-current interactions, and experimental studies on porous double-skin façades for wind load mitigation. He has collaborated on wind farm layouts, cable-supported bridge stability, and aerodynamic optimization of vehicles.

• Business Process Management
• Business Intelligence
• Digital Transformation
• +۶ مورد دیگر

Lucija Ivančić is a Teaching and Research Assistant at the Department of Informatics, Faculty of Economics & Business, University of Zagreb. She is currently a PhD candidate with a focus on digital transformation, business process management, and emerging technologies like robotic process automation (RPA) and process mining. Role: Teaching and Research Assistant Department: Informatics University: University of Zagreb Research Interests: Her work bridges business process management and digital transformation, with specific expertise in RPA, process mining, and AI applications in sectors like healthcare, education, and food wholesale. She explores how digital technologies enhance organizational efficiency, customer care, and elderly independence. Publication Trends: Recent articles focus on RPA's integration challenges, process mining in healthcare, and AI-driven customer analytics. Her research often employs case studies, systematic reviews, and data-driven methodologies like K-means clustering. Scientific Awards: Deans' award for BPMN simulation modeling Deans' award for IS auditing research Additional Contributions: She investigates digital inclusion of seniors, e-learning platform implementation during the pandemic, and business-IT alignment education frameworks. Her work emphasizes practical guidelines for enterprises and policymakers.

• Electromagnetic Theory
• Applied Mathematics
• Numerical Methods
• +۳ مورد دیگر

Dario Bojanjac is an Assistant Professor at the Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb. His research focuses on mathematical modeling of electromagnetic processes, numerical methods for Maxwell's equations, and applied mathematics techniques like asymptotic analysis. He holds a PhD in mathematics (2015) and electrical engineering (2009), with extensive visiting scholar experience at institutions such as École Polytechnique Fédérale de Lausanne (EPFL) and the University of Michigan. Education: PhD in Mathematics (2015), Faculty of Science, University of Zagreb PhD in Electrical Engineering (2009), Faculty of Electrical Engineering and Computing His research interests include electromagnetic wave scattering, homogenization of Maxwell's equations, and computational electromagnetism. Recent work explores ground-based SAR systems, deep learning applications in radar data analysis, and flood classification using multivariate approaches. He has received awards including the Swiss Government Excellence Scholarship and Croatian Government Fellowship. His projects include satellite electromagnetic field measurements and metamaterial-based invisibility cloak realization. He participates in lab initiatives like AOLAB2 and coordinates projects such as BODYSEN and HybridAccess. Awards: Swiss Government Excellence Scholarships CIME Foundation Fellowship European Science Foundation Fellowship Bojanjac has advised on multiple research projects and contributed to educational initiatives like the MILE interactive learning system. His lab collaborations include work on sensor systems and optical communication technologies.

Danijel Grahovacمشاهده پروفایل

دانشیار

• Limit theorems
• Scaling properties of stochastic processes
• Self-similarity
• +۷ مورد دیگر

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.

• Economic Theory
• Macroeconomic Management
• Financial Crises
• +۶ مورد دیگر

Professor Marinko Škare is a full professor with permanent position at the University of Pula, Faculty of Economics and Tourism "Dr. Mijo Mirković" in Pula, Croatia. He serves as Vice-Rector for Research, Arts and Collaboration at the institution. Dr. Škare is affiliated with the Department of Economic Theories where he has been actively teaching since 1994. His educational background includes graduation in 1994, Master's degree in 1996, and PhD in 1998. Professor Škare teaches across undergraduate, graduate, and specialist programs, covering diverse subjects from Welfare Economics and History of Economic Thought to Advanced Macroeconomics and AI and Digital Economy. Dr. Škare's research spans multiple domains including Economic Theory, Macroeconomic Management, Financial Crises, Innovation Economics, and Digital Economy. His scholarly work demonstrates a strong focus on contemporary economic challenges, particularly in the context of digital transformation and post-crisis recovery. The 15 most recent publications analyzed show a consistent pattern of addressing pressing economic issues through theoretical frameworks combined with practical applications. His academic leadership extends beyond teaching as evidenced by his role as Vice-Rector for Research, Arts and Collaboration, indicating significant administrative responsibilities within the university structure. His work connects economic theory with practical applications across tourism, finance, and digital transformation domains.

Josip Tambacaمشاهده پروفایل

استاد

• Partial Differential Equations (PDEs)
• Continuum Mechanics
• Numerical Analysis
• +۶ مورد دیگر

Prof. Josip Tambaca is a Professor of Mathematics at the University of Zagreb's Faculty of Science (PMF), specializing in mathematical modeling of mechanical systems, continuum mechanics, and biomedical engineering. He holds a PhD in Mathematics from the University of Zagreb (2000) and has conducted extensive research on fluid-structure interaction, stent mechanics, and micropolar elasticity. His work bridges theoretical analysis (PDEs, asymptotic methods) with applied problems in cardiovascular systems and engineering structures. Education: B.Sc. Mathematics, University of Zagreb (1994) M.Sc. Mathematics, University of Zagreb (1999) PhD Mathematics, University of Zagreb (2000) Research focuses on mathematical models for elastic structures (rods, plates, shells), with emphasis on biomedical applications like coronary stents. Key projects include 'Mathematical Modeling of Vascular Stents' and 'Modeling Endovascular Stents.' Collaborations with institutions like Texas Heart Institute and SIAM highlight his interdisciplinary impact. Publications span 20+ years, emphasizing fluid-structure interaction, asymptotic analysis, and numerical methods. His work 'A New Linear Shell Model for Shells with Little Regularity' (2014) and 'Mechanical Behavior of Fully Expanded Coronary Stents' (2011) are seminal in their fields. Teaching responsibilities include courses on Partial Differential Equations and Elasticity Theory.

• Bioelectronics
• Optoelectronic Cell Control
• Nanostructured Materials
• +۵ مورد دیگر

Vedran Đerek serves as an Associate Professor in the Department of Experimental Physics at the Faculty of Science, University of Zagreb. His research spans bioelectronics, optoelectronic cell control, and nanostructured materials development. His laboratory ( dereklab.phy.hr ) focuses on creating advanced interfaces between biological systems and electronic devices. Dr. Đerek's research interests center on developing bioelectronic interfaces that enable precise communication with biological systems. His work in optoelectronic cell control utilizes light to modulate electrophysiological properties of cells with millisecond precision, enabling new approaches in biomedical research. His expertise in nanostructured and hybrid materials drives innovation in photodetectors and optoelectronic devices, while his spectroscopy work applies high-resolution optical techniques to study material properties and interactions. Numerical modeling using tools like COMSOL Multiphysics forms a critical component of his research methodology for simulating complex bioelectronic systems. His recent publication trend (2018-2024) reveals a strong focus on organic photocapacitors and photovoltaic devices for neural and cardiac stimulation. Key themes include wireless optoelectronic nerve stimulation, chronic neural interfaces, and the fundamental mechanisms of photocapacitive versus photofaradaic stimulation. His work bridges materials science, neuroscience, and biomedical engineering to develop next-generation bioelectronic interfaces with applications in medical devices and fundamental biological research. Dr. Đerek teaches courses in atomic and molecular physics at both undergraduate and doctoral levels, including "Atomska i molekulska fizika" (Atomic and Molecular Physics), "Osnove atomske i molekulske fizike" (Fundamentals of Atomic and Molecular Physics), and doctoral-level "Spektroskopske metode u proučavanju molekulskih vibracija" (Spectroscopic Methods in Molecular Vibration Studies).

Barbara Pemمشاهده پروفایل

پژوهشگر

• Theoretical Chemistry
• Physical Chemistry
• Biomedicine
• +۳ مورد دیگر

Barbara Pem is a Researcher at the Ruđer Bošković Institute , affiliated with the Division of Organic Chemistry and Biochemistry and the Laboratory for Engineering of Biomembranes . Her work focuses on theoretical and physical chemistry, with applications in biomedicine, pharmacy, and nanoparticle interactions. Educational Background: PhD in Pharmaceutical and Biochemical Sciences (2017–2021), Faculty of Pharmacy and Biochemistry, University of Zagreb Master's in Pharmacy (2012–2017), Faculty of Pharmacy and Biochemistry, University of Zagreb Research Interests: Dr. Pem explores the mechanisms of nanoparticle-biomolecule interactions, particularly involving metallic nanoparticles (silver/gold) and biomolecules like thiols and proteins. Her computational and experimental studies address topics such as cysteine oxidation in biological systems, lipid membrane dynamics, and nanotoxicity assessment. She employs advanced techniques like molecular dynamics simulations, NMR spectroscopy, and alchemical perturbation methods. Awards & Recognition: British Scholarship Trust (BST) scholarship (2019) for research on metallic nanoparticle-biothiol interactions FEBS scholarship (2018) for investigating protein-nanoparticle interactions via thiol residues Grants & Collaborations: Her work integrates interdisciplinary approaches, with collaborations involving institutions like the Institute of Occupational Medicine (Edinburgh) and the University of Graz. She actively participates in conferences, presenting on topics ranging from lipid bilayer modeling to nanoparticle toxicity. Labs & Teams: Her research is conducted in the Laboratory for Engineering of Biomembranes , focusing on biomimetic systems and nanomedicine applications.

Domagoj Ševerdijaمشاهده پروفایل

استادیار

• Combinatorial Optimization
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Domagoj Ševerdija is an Assistant Professor at the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek, where he leads the Computer Science and Machine Learning Research Group. He holds a PhD in Electrical Engineering (2013) and a dual BS in Mathematics and Computer Science (2007) from the University of Osijek. His research spans computational linguistics, natural language processing, machine learning, and combinatorial optimization, with applications in bioinformatics, robotics, and energy systems. Recent work focuses on neural language models, domain adaptation techniques, and efficient algorithm design. Publications show strong interdisciplinary trends: computational linguistics (Croatian morphology, sentence embeddings), bioinformatics (cell typing, RNA splicing), and algorithm optimization (terrain guarding, matrix operations). Recent papers emphasize knowledge distillation, domain adaptation, and compressed representations. Awards: Best paper award in AIS - Artificial Intelligence Systems track (MIPRO 2023) Research funding includes: Computer-Assisted Corpus Linguistics (UNIOS, 2019-2020) Croatian Identity Network Framework (Adris Foundation, 2020-2021) Croatian Language in Global Cloud (Adris Foundation, 2019-2020) Leads the Computer Science and Machine Learning Research Group, coordinating projects in NLP, computational geometry, and AI applications.

Pejo Konjatićمشاهده پروفایل

استاد

• Mechanical Engineering
• Structural Analysis
• Finite Element Analysis
• +۳ مورد دیگر

Pejo Konjatić is a Professor at the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb. He specializes in structural analysis, mechanical design, and materials science, with a focus on applications in thermal power plants and automotive engineering. His research involves finite element analysis, fracture mechanics, and the optimization of mechanical systems. He has mentored over 140 students in Master's and undergraduate theses, covering topics like structural integrity, welding techniques, and additive manufacturing. Mentored 45 Master's and undergraduate theses, including projects on boiler design, 3D printing, and rotor dynamics. Supervised 95 papers as a committee member, focusing on mechanical systems, materials science, and safety engineering. His work emphasizes practical applications, such as improving equipment safety in explosive environments and optimizing composite materials for additive manufacturing. Key areas include fracture analysis of welded joints, rotor dynamics, and vibration diagnostics in industrial machinery. Recent research trends involve advancing computational methods (e.g., finite element modeling) and addressing challenges in sustainable manufacturing through material storage effects and lightweight design.