جستجوی استاد راهنمای دانشگاهی

Mihael Makekمشاهده پروفایل

استاد

• Nuclear Physics
• Particle Physics
• Experimental Physics
• +۵ مورد دیگر

Mihael Makek is a full professor at the Department of Experimental Physics within the Faculty of Natural Sciences and Mathematics at the University of Zagreb. His academic position places him at the forefront of nuclear and particle physics research in Croatia, with strong connections to international collaborations like PHENIX at the Relativistic Heavy Ion Collider (RHIC). He maintains active involvement in both teaching and research, contributing to the physics community through publications and mentorship. Professor Makek's research interests span multiple areas of experimental physics, with particular emphasis on nuclear physics and particle physics . His work focuses on heavy ion collisions, particle production mechanisms, jet measurements, and radiation detectors with medical applications. His recent publications demonstrate expertise in analyzing data from relativistic heavy ion collisions to study quark-gluon plasma properties, using techniques like elliptic flow measurements, direct photon production analysis, and jet quenching studies. Additionally, he has made contributions to medical physics through research on PET imaging systems and Compton scattering phenomena. An analysis of his recent publications reveals a strong focus on experimental measurements at forward rapidity in various collision systems (p+p, d+Au, Au+Au, etc.). His work frequently addresses fundamental questions about quark-gluon plasma formation, parton energy loss in nuclear matter, and the behavior of heavy flavor particles in extreme conditions. The consistent appearance of his name in PHENIX collaboration papers indicates his significant role in this major international research effort. Professor Makek teaches across multiple academic levels, including undergraduate courses in statistics and measurements, graduate courses in modern physics and nuclear physics, and doctoral courses on radiation detectors and medical applications of nuclear methods. His teaching portfolio reflects the interdisciplinary nature of his research, bridging fundamental physics with practical applications in medical technology.

• 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.

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.

• Environmental Geochemistry
• Sedimentology
• Geochemical Analysis
• +۴ مورد دیگر

Gordana Medunić is a Full Professor at the Department of Geology, Faculty of Science, University of Zagreb. She actively teaches courses across undergraduate, graduate, and doctoral programs, including topics in geochemical methods, environmental geology, and sediment analysis. Her research focuses on environmental geochemistry, particularly the impacts of coal mining and industrial activities on soil and water systems. Key areas include pollutant mobility, biogeochemical remediation, and trace element interactions in ecosystems. Geochemical Processes in Sedimentary Rocks Environmental Pollution Assessment Biogeochemical Remediation Techniques Rare Earth Element Distribution Recent publications highlight her work on coal sludge contamination, methane production from biomass, and selenium bioremediation. These studies employ geochemical analysis, microbial communities, and synthetic materials for environmental recovery. Her projects include collaborations on global sustainability initiatives like the Phosphorus Negotiation Game (P-Game) and fieldwork in Raša Bay, North Adriatic. She contributes to understanding long-term effects of industrial waste on ecosystems and developing remediation strategies. Teaching roles involve courses such as Geochemical Methods of Environmental Investigation and Geological Aspects of Waste Management , emphasizing practical applications in environmental protection and resource management.

• 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.

Nika Šimurinaمشاهده پروفایل

استاد

• Public Finance Systems
• Tax Systems
• Tax Policy
• +۳ مورد دیگر

Nika Šimurina, PhD, is a Full Professor at the Department of Finance, Faculty of Economics and Business, University of Zagreb. She has been affiliated with the faculty since 1999, teaching Public Finance, Tax System of Croatia, and International Aspects of Taxation in undergraduate and graduate programs. She also coordinates the Introduction to Regulation course in the graduate professional program. B.Sc. in Law (1998), Faculty of Law, University of Zagreb M.Sc. in Economics (2003), Faculty of Economics and Business, University of Zagreb Ph.D. in Economics (2008), Faculty of Economics and Business, University of Zagreb Her research focuses on public finance systems, tax systems, tax policy, and international taxation. She has explored topics such as environmental taxes, personal over-indebtedness, income inequality, and the economic impact of renewable energy investments in Croatia. Her work often bridges fiscal policy with broader socio-economic issues. Her publications analyze trends in tax policy, inequality, healthcare efficiency, and sustainability. Recent articles address environmental taxation in the EU, tax drivers of household debt, and cluster analyses of EU economic freedom and corruption. Outstanding Conference Participant Award B&ESI (2018) She has served as a mentor for seminar papers, final theses, and graduate theses, though specific student names are not listed. She has evaluated grants for the University of Rijeka and reviewed submissions for prestigious journals like Economic Review and Zagreb International Review of Economics and Business.

Kristina Kovačevićمشاهده پروفایل

پژوهشگر

• Machine Learning
• Business Analytics
• Data Mining
• +۳ مورد دیگر

Kristina Kovačević is a researcher and teaching collaborator at the Faculty of Economics, University of Osijek, where she has been employed since February 2020. She is affiliated with the Department of Quantitative Methods and Informatics and contributes to courses such as Statistics and Quantitative Methods for Business Decision-Making. Educated in Business Economics with a focus on Business Informatics Doctoral candidate in Business Economics in a digital environment at the University of Dubrovnik and University of Zagreb since November 2020 Her research interests center on Machine Learning and its applications in energy management, business process optimization, and economic trend prediction. She actively participates in the research project funded by the Croatian Science Foundation, titled "Methodological Framework for Efficient Energy Management Using Smart Data Analytics," which leverages techniques like neural networks, decision trees, and cluster analysis. Her work intersects Quantitative Methods in Business and Intelligent Data Analytics , emphasizing simulation models and business intelligence systems. While no scientific awards are explicitly mentioned in the provided text, her academic profile reflects engagement in both teaching and research, bridging theoretical and applied aspects of business economics through advanced data analysis methodologies.

Anita Čeh Časniمشاهده پروفایل

پژوهشگر

• Economic Statistics
• Sustainable Development
• Housing Market Analysis
• +۳ مورد دیگر

Anita Čeh Časni, PhD, is a Researcher at the Department of Statistics within the Faculty of Economics & Business at the University of Zagreb . She teaches courses such as Business Statistics , Statistics for Business and Economics , and Statistical Methods in Professional and Scientific Work . Her research focuses on economic statistics , sustainable development , housing market dynamics , and tourism economics . Recent publications highlight her work on financial inclusion, sustainability reporting, housing affordability, and the sharing economy. She employs advanced econometric techniques like panel VAR and cluster analysis to study EU post-transition economies, tourism impacts, and energy policies. Her collaborations span institutions in Croatia and other EU countries. Her work appears in journals like Sustainability , Poslovna izvrsnost - Business Excellence , and ZIREB Zagreb International Review of Economics and Business . She is actively involved in external quality evaluation frameworks and contributes to debates on corporate governance and digital economy measurement.

• Kinesiology
• Sports Science
• Volleyball
• +۵ مورد دیگر

Mirjana Milić is an Associate Professor at the Faculty of Kinesiology, University of Split. She holds a doctoral degree in Kinesiology from the same institution (2014). Her academic work focuses on sports kinesiology, volleyball, and physical education methodologies. Research Interests: Volleyball, sports research methodology, kinesiological education, anthropometry, motor skills, physical activity Teaching Roles: Lecturer for undergraduate and graduate courses including Systematic Kinesiology, Volleyball Methodology, and Research Methodology Her publications emphasize volleyball player profiling, injury prevention, and the intersection of physical activity with public health and education. She contributes to understanding motor ability development in youth athletes and has explored topics like health literacy among university students.

• Pig Breeding
• Animal Biotechnology
• Genetic Diversity
• +۳ مورد دیگر

Dr. Zoran Luković is a Full Professor at the Department of Animal Sciences, Faculty of Agriculture, University of Zagreb, with a permanent position since 2023. He holds expertise in pig breeding, animal welfare, and genetic diversity. PhD in Animal Husbandry (University of Ljubljana, 2006) Master's in Animal Husbandry (University of Zagreb, 2001) Bachelor's in Animal Husbandry (University of Zagreb, 1999) His research focuses on animal biotechnology , genetic diversity , and ethical animal use , with projects spanning heritability analysis , crossbreeding , and sustainable pork production . Key projects include Horizon 2020's AFZ Genome and Epigenome initiative and multiple VIP Council-funded studies on pig farming systems. Coordinated projects on ultrasound applications, breeding value estimation, and alternative pig farming Contributed to molecular genetics workshops and international collaborations Serves on editorial boards for Animal Husbandry and Pig Farming journals

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.

• Probability Theory
• Mathematical Statistics
• Statistics
• +۳ مورد دیگر

Adrian Beker is an Assistant Professor at the Department of Mathematics within the Faculty of Science, University of Zagreb. He is affiliated with the Division of Probability Theory and Mathematical Statistics, focusing on research and academic activities in these domains. Institution: University of Zagreb School: Faculty of Science Department: Department of Mathematics Division: Probability Theory and Mathematical Statistics His research interests align with the core disciplines of probability theory and statistical analysis, reflecting the department's expertise in mathematical sciences. While no publications or awards are detailed in the provided text, his role emphasizes academic engagement within the mathematical community.

• Probability Theory
• Mathematical Statistics

Bojan Basrak is a Full Professor at the Department of Mathematics, University of Zagreb, specializing in Probability Theory and Mathematical Statistics. He is affiliated with the Division of Probability Theory and Mathematical Statistics and actively involved in research and teaching. Teaching roles: Lecturer in charge for graduate and doctoral courses including 'Fundamentals of probability theory,' 'Time series,' and 'Probability.' His research focuses on Poisson point processes and hierarchical modeling of character strings, bridging theoretical probability with computational applications. While specific awards are not listed, his active involvement in EU projects like RobSparseRand and QuantiXLie suggests ongoing contributions to interdisciplinary mathematical research.