جست‌وجوی استاد و پژوهشگر

• Educational Technology
• Informatics Education
• Programming Pedagogy
• +۳ مورد دیگر

Snježana Babić serves as Associate Professor and Head of the Graduate Study Program Informatics - Teaching Major at the Faculty of Informatics in Pula , University of Pula. With a PhD obtained in 2016 and university affiliation since 2017, she teaches across undergraduate and graduate programs focusing on ICT fundamentals, web design, digital competencies, and informatics education methodology. Her educational background includes graduation in 1993 followed by doctoral studies culminating in 2016. Though specific institutions aren't detailed in the text, her career trajectory shows progression from foundational ICT teaching to specialized informatics education leadership. Babić's research centers on educational technology adoption with particular emphasis on programming pedagogy for young learners through the MEMA method. Her work investigates digital competencies across multiple educational contexts, from primary schools to higher education. Recent publications demonstrate rapid adaptation to emerging technologies, with 2025 studies examining ChatGPT integration in Croatian educational settings and cross-cultural applications of programming methods. Analysis of her 15 most recent publications reveals consistent focus on technology acceptance models applied to Croatian educators and students. The research trajectory shows evolution from foundational e-learning systems (2016-2020) to cutting-edge AI and robotics applications (2022-2025), maintaining strong methodological focus on teacher motivation , implementation barriers , and culturally-specific adoption factors . Her teaching portfolio demonstrates deep integration with research interests: Undergraduate: ICT Fundamentals, Web Design and Application Graduate: Digital Competencies in Education, Informatics Education Methodology, Practicum for IT Educators Cross-disciplinary: ICT in Nursing, Healthcare Informatics Babić actively contributes to institutional leadership as program head while maintaining robust research productivity. Her work bridges theoretical technology adoption frameworks with practical implementation challenges in Croatian educational contexts, particularly examining how emerging technologies like humanoid robots and AI assistants can be effectively integrated into teaching practices.

• 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.

• Number Theory
• Langlands Program
• Automorphic Forms
• +۳ مورد دیگر

Neven Grbac is a Full Professor of Mathematics at the Juraj Dobrila University of Pula, Croatia . He has held academic positions at the University of Rijeka (2007-2018) and the University of Zagreb (1999-2007). His research focuses on number theory within the Langlands program , particularly automorphic forms , representation theory , and cohomology of arithmetic groups . He has published 20 research papers and delivered over 30 talks at international venues, including courses at doctoral programs in Vienna and Zagreb. His work on Eisenstein series and their cohomological applications has been central to advancing understanding in automorphic L-functions and arithmetic group cohomology. He has collaborated with prominent mathematicians like Joachim Schwermer and Harald Grobner, contributing to areas such as endoscopic transfer , residual spectra , and Arthur packets . Grbac is a member of several mathematical societies, including the Croatian Mathematical Society and American Mathematical Society. Research Interests Number Theory Langlands Program Automorphic Forms Representation Theory Cohomology of Arithmetic Groups Education Ph.D. in Mathematics, University of Zagreb (2007) M.S. in Mathematics, University of Zagreb (2003) B.S. in Mathematics, University of Zagreb (1999) Professional Engagements Principal Investigator, Croatian Science Foundation project SMART-Langlands (2023-2027) International Project Participant, Austrian Science Fund FWF (2024-2028) Researcher, Croatian Science Foundation project on Complex Software Systems (2020-2024) Notable Collaborations Joachim Schwermer Harald Grobner Marcela Hanzer Conferences and Talks Over 30 presentations at international conferences, including workshops in Bonn, Paris, Kyoto, and Michigan Co-organizer of the Workshop on Automorphic Forms and Representations (2015) Labs and Teams Member of the SEIP Lab (Software Engineering and Intelligent Processing) Collaboration with the Unitary Representations and Automorphic Forms Seminar (Croatia)

• Condensed Matter Physics
• High-Temperature Superconductivity
• Cuprate Superconductors
• +۳ مورد دیگر

Neven Žitomir Barišić is a full Professor at the Institute for Experimental Physics within the Faculty of Natural Sciences and Mathematics at the University of Zagreb. His research focuses on condensed matter physics with special emphasis on high-temperature superconductors, particularly cuprate materials. His work has established him as a significant contributor to understanding quantum phenomena in correlated electron systems. Professor Barišić's research interests span condensed matter physics, high-temperature superconductivity, cuprate superconductors, quantum phase transitions, charge density waves, and Fermi liquid theory. His experimental approach combines various techniques to probe electronic properties of quantum materials, with particular attention to the relationship between electronic structure, charge transport, and superconducting mechanisms in cuprates. His work has significantly contributed to understanding the pseudogap phase, Fermi surface evolution, and quantum critical behavior in high-temperature superconductors. Analysis of his 15 most recent publications reveals a consistent focus on cuprate superconductors, particularly examining charge transport phenomena, Fermi liquid behavior, and quantum phase transitions. His work frequently appears in top-tier journals including Nature family journals, Physical Review Letters, and Science Advances. A recurring theme across his publications is the investigation of universal behaviors in cuprate superconductors, particularly regarding resistivity, magnetoresistance, and the relationship between charge order and superconductivity. According to citation metrics as of October 2020, Professor Barišić has an h-index of 24 with approximately 2130 citations in Web of Science, and an h-index of 28 with approximately 3060 citations in Google Scholar. His publication record includes 67 refereed publications, featuring 2 Nature papers, 2 Nature Physics papers, 2 Science Advances papers, 3 Nature Communications papers, and numerous publications in Physical Review journals. Professor Barišić teaches doctoral-level courses in Experimental Research in Condensed Matter Physics at the University of Zagreb. His extensive publication record in high-impact journals demonstrates his active research program and significant contributions to the field of condensed matter physics. His collaborations span multiple international institutions, reflecting the global recognition of his work in high-temperature superconductivity research.

Anamarija Jazbecمشاهده پروفایل

استاد

• Forestry
• Environmental Science
• Forest Management
• +۳ مورد دیگر

Anamarija Jazbec is a distinguished Professor at the Faculty of Forestry and Wood Technology, University of Zagreb , holding roles in both the Department of Forestry and Department of Wood Technology. She has a dual academic background in Mathematics (dipl.ing.) and Forestry, with over 37 years of professional experience in academic research and teaching. Her primary affiliations include the University of Zagreb’s Faculty of Forestry (since 2000) and previous roles at the Faculty of Natural Sciences and Mathematics (PMF). Research Interests: Forestry, environmental science, biostatistics, tree physiology, medical research on biomarkers, and dual career programs for athletes. Her work bridges applied mathematics with ecological and health sciences, addressing topics ranging from forest management to diabetes complications and pediatric sports performance. Publications & Research: Over 50 peer-reviewed articles (2025–2014), focusing on forest ecology (e.g., oak and beech coppices), biomarker studies (e.g., cystatin C, adiponectin), and educational outcomes (e.g., state exam impacts on academic performance). Notable contributions include studies on silver fir decline, dual career mental health, and groundwater quality analysis. Teaching & Mentorship: Advised numerous students across undergraduate and graduate programs in forestry, wood technology, and urban ecology. Her courses integrate statistical methodologies with practical forestry applications. Labs & Affiliations: Collaborates with the Institute of Ecology and Silviculture, Institute of Forest Protection, and international research networks on biomonitoring and forest health. Active in Croatian forestry forums and educational policy discussions.

Mario Spremićمشاهده پروفایل

استاد

• Digital Transformation
• Cybersecurity
• Strategic IT Management
• +۳ مورد دیگر

Mario Spremić is a Full Professor at the Department of Informatics, Faculty of Economics & Business, University of Zagreb, with significant international affiliations including Imperial College London, School of Economics and Business at University of Ljubljana, and Sapienza University of Rome. He serves as Vice-President of the National Scientific Committee for Information Science and Director of the Postgraduate Study Programme in IT Management. His academic career spans over two decades since joining FEB Zagreb in 2000, following prior corporate experience as a computer programmer, project manager, and executive manager. Born in Dubrovnik, Croatia (1970) B.Sc. in Mathematical Sciences (1996) M.Sc. in IT Management (1999) Ph.D. in Business (2002) Additional education from MIT Sloan School of Management Professor Spremić's research focuses on digital transformation, cybersecurity, strategic IT management, and IT auditing. His work bridges academic theory with practical business applications, resulting in over 100 scientific and professional publications. He has authored or co-authored 15 books on digital transformation, cybersecurity, and enterprise information systems. His research methodology combines theoretical frameworks with empirical validation through case studies across multiple industries. His publication record demonstrates consistent scholarly output with recent contributions focusing on digital business model maturity measurement, cybersecurity frameworks, and digital transformation strategies. The publications reveal a strong emphasis on practical applications of information systems theory in business contexts, particularly in financial services, retail, and public sector organizations. His work often employs mixed-method approaches combining bibliometric analysis, case studies, and empirical validation. Winner of the CGEIT (Certificate in Governance of Enterprise IT) Reviewer for WoS, ISI and Scopus indexed journals International accreditor for EFMD and NAKVIS Active member of IEEE, ISACA, and IAE professional organizations Professor Spremić maintains strong connections with the business world through consulting work, having conducted over 100 consultancy projects, IT audits, and cybersecurity assessments across financial institutions, public sector organizations, and consumer industries. He serves as an international accreditor for higher education institutions, specializing in helping them achieve and maintain international accreditations like EQUIS. His industry engagement complements his academic work, ensuring practical relevance of his research. At FEB Zagreb, he teaches courses including e-Business, Enterprise Information Systems, Cybersecurity, IT Auditing, and Digital Transformation. His teaching approach integrates current industry practices with academic theory, preparing students for digital challenges in modern business environments. He has participated in numerous international study visits to institutions including Henley Business School, Westminster University, WU, MIT, and Technical University Munich.

Ivana Crnjacمشاهده پروفایل

استادیار

• Partial Differential Equations
• Functional Analysis
• Optimal Design
• +۲ مورد دیگر

Ivana Crnjac is an Assistant Professor at the School of Applied Mathematics and Informatics, Josip Juraj Strossmayer University of Osijek. She serves as Head of the Applied Mathematics and Optimization Research Group and maintains an active research program in mathematical optimization and partial differential equations. Her educational background includes a PhD in Mathematics from the University of Zagreb (2019), an MSc in Mathematics from the University of Osijek (2013), and a BSc in Mathematics from the University of Osijek (2011). Dr. Crnjac's research focuses on Partial Differential Equations, Functional Analysis, and Optimal Design, with significant contributions to elasticity theory and structural optimization. Her work bridges theoretical mathematics with practical engineering applications, particularly in the development of numerical methods for optimization problems in solid mechanics. Her recent publications (2023-2024) demonstrate a clear trajectory toward increasingly complex 3D elasticity problems, showing progression from 2D models to more sophisticated three-dimensional frameworks. Her research integrates advanced mathematical techniques like Hashin-Shtrikman bounds with practical applications in structural engineering. Dr. Crnjac actively participates in multiple research projects funded by the Croatian Science Foundation, including the ongoing 'Homogenization and optimization in mechanics of solids' (2023-2027). She regularly presents at international conferences and workshops on applied mathematics. She teaches a variety of mathematics courses including Ordinary Differential Equations, Complex Analysis, and Linear Algebra II. Her academic service includes organizing the Mathos Cup competition and conducting educational workshops for students at various levels.

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.

• Kinesiology
• Sports Kinesiology
• Basketball
• +۲ مورد دیگر

Mario Jeličić is a Full Professor at the Faculty of Kinesiology, University of Split , specializing in Sports Kinesiology with a focus on Basketball . He holds a Doctorate in Kinesiology (University of Zagreb, 2006) and a specialist degree in Natural and Mathematical Sciences (University of Split, 1996). Primary role: Course bearer in Basketball Theory and Methodology Coordinator for the Basketball Sports Trainer track Research Interests span: Basketball Performance Analysis : Game structure, positional differences, and situational efficiency metrics. Training Load Optimization : Correlations between internal/external load indicators and match outcomes in soccer. Physiological Studies : Aerobic capacity assessments using novel tests like the 30-15 intermittent fitness test. Sports Ethics : Anti-doping compliance and illicit drug misuse correlations in adolescent athletes. Recent publications from 2017-2022 highlight his work on: Anti-doping legal frameworks with gender-specific validity Transition offense strategies in European basketball Morphological predictors of long-term player achievements Smoking and substance abuse in sports-associated adolescents Academic Roles : Permanent selection Professor since 2023 Teaching and coordination roles in basketball training programs

Ana Marija Filipasمشاهده پروفایل

مدرس

• Econometrics
• Big Data Analytics
• Regression Analysis
• +۳ مورد دیگر

Ana Marija Filipas serves as a Lecturer at the Faculty of Economics and Business (EFRI) of the University of Rijeka, Croatia, where she delivers core quantitative coursework for undergraduate and graduate programs. Her institutional affiliation includes active teaching responsibilities within the Faculty's academic structure, with office hours maintained for student consultation in Chair 62/III. Her research and pedagogical expertise centers on econometric methodology and big data applications in business contexts. She systematically covers probability theory, mathematical statistics, linear regression modeling (including OLS derivation, categorical variables, and diagnostic testing for multicollinearity/heteroscedasticity), and advanced analytics techniques such as supervised/unsupervised learning, decision trees, association rule mining, and text mining. This bridges classical econometric frameworks with contemporary data science tools for economic analysis. Her scientific contributions manifest through curriculum development in quantitative disciplines, particularly the foundational 'Basics of Econometrics' course and the English-taught 'Big Data Analytics' program covering data preprocessing, model deployment, and ensemble methods. While specific research outputs aren't documented in the source material, her instructional focus demonstrates applied expertise in transforming complex statistical concepts into practical business analytics solutions.

Zrinka Lukačمشاهده پروفایل

استاد

• Economics
• Mathematical Optimization
• Monopolistic Competition
• +۳ مورد دیگر

Zrinka Lukač is a Full Professor at the Department of Mathematics, Faculty of Economics and Business, University of Zagreb. She holds a permanent position and has been recognized for her work in mathematical economics and optimization. Department: Department of Mathematics Office Hours: Thursdays 8:30-10:00 AM via Google Meet Research Interests Economics of Monopoly and Market Structures Optimization in Taxation and Public Policy Mathematical Modeling of Consumer Behavior Nonlinear Programming Applications Publication Trends : Her recent work focuses on profit maximization, tax policy, consumer confidence indicators, and wine market economics using advanced optimization techniques like closed-form solutions, bilevel programming, and nonlinear modeling.

Andrej Lackovićمشاهده پروفایل

مدرس ارشد

• Computer Science
• Education
• Information Sciences
• +۳ مورد دیگر

Andrej Lacković is a Senior Lecturer at Algebra University of Applied Sciences in Croatia. He holds a degree in Physics and Technology with Computer Science from the Faculty of Science and Mathematics in Zagreb and is currently pursuing a doctorate in Information and Communication Sciences at the Faculty of Humanities and Social Sciences in Zagreb. Faculty of Science and Mathematics, Zagreb (Physics) Faculty of Humanities and Social Sciences, Zagreb (Information and Communication Sciences, doctoral studies) His research interests focus on the intersection of computer science and education, with emphasis on information ethics, e-learning systems, and pedagogical methods for developing critical thinking skills. He has contributed to the development of study programs in Multimedia Engineering and Applied Computing. Andrej participated in the "Competitive Croatian Higher Education for Better Employability" project (2013-2015) aimed at implementing recognition systems for non-formal knowledge and skills in higher education. His recent publications address programming solutions in MS Excel, automated attendance systems, and ethical challenges in digital education.

Zvonimir Peranićمشاهده پروفایل

مدرس ارشد

• Quantitative Methods
• Mathematics Education
• STEM Curriculum Development
• +۳ مورد دیگر

Zvonimir Peranić is a Senior Lecturer at the University of Rijeka. His primary roles involve teaching quantitative methods, mathematics, and physics for engineering students. He specializes in adult education and curriculum design, particularly in STEM fields and occupational training. His teaching portfolio includes courses such as Mathematics I/II, Quantitative Methods in Trade, and Operational Research in Traffic. His research focuses on educational methodologies, curriculum reform, and workforce development. Notable projects include analyzing constructivist teaching approaches in physics and evaluating STEM integration in curricula. He has published extensively on topics like media literacy among students, cultural competence in education, and safety training in industrial settings. Peranić has authored educational materials including the textbook 'Mathematics: Collection of Problems with Solved Examples.' His work emphasizes practical problem-solving and pedagogical innovation across diverse educational contexts.

• Sports Science
• Kinesiology
• Sports Anthropology
• +۳ مورد دیگر

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.

• Applied Mathematics
• Partial Differential Equations
• Numerical Mathematics
• +۴ مورد دیگر

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.