Find Academic Supervisors

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +5 more

Goran Oreški is an Associate Professor and Head of the Laboratory at the Faculty of Informatics in Pula (University Jurja Dobrile, Croatia), where he has been employed since 2019. He teaches courses on databases, object-oriented programming, data warehousing, and artificial intelligence at both undergraduate and graduate levels. Education: Ph.D. in Informatics (2016), Faculty of Organization and Informatics Industry Experience: 9 years as software architect and programmer in banking sector Research Focus: Artificial Intelligence systems, classical machine learning algorithms, and deep learning architectures. His work bridges theoretical advancements with practical applications in autonomous vehicles, traffic monitoring, and financial risk assessment. Recent Publication Trends: 2023-2025 works emphasize generative AI for synthetic credit data, traffic object segmentation with monocular cameras, and context-aware detection models (YOLO*C). Earlier works focus on genetic algorithms and ensemble learning for imbalanced datasets. Awards: Google RFP Award for autonomous vehicle research Highly Cited Paper (Web of Science, top 1%) Best Paper at CECIIS conference Leadership: Director of FIPU Laboratory since 2022, leading projects like ai.Shuttle (autonomous mini-bus) and CenAI (industry collaboration with Cenosco).

Mislav BalkovićView profile

Associate Professor

• Data Science
• Education Policy
• Labor Market Analysis
• +7 more

Mislav Balković is an Associate Professor at Algebra University of Applied Sciences, where he has served as Director and Dean since 2000 and 2009, respectively. He drives strategic development for the Algebra Group and contributes to national education policy through roles in expert bodies like the National Council for Science, Higher Education and Technology, and the Accreditation Council of the Agency for Science and Higher Education. Education: PhD (2016) from Faculty of Electrical Engineering and Computing, University of Zagreb Bachelor’s and Master’s degrees from Faculty of Electrical Engineering and Computing, University of Zagreb Research Interests: Mislav’s work bridges Data Science with applications in labor market dynamics , education policy , qualification frameworks , and energy systems . His projects focus on smart grid optimization, digital identity protection, and AI-driven educational reforms. Publications Trends: His recent articles emphasize cross-disciplinary applications , including brain-computer interfaces for image generation, EU labor market analysis , and smart grid resilience . Earlier works explore blockchain-based academic credentials and data analytics in auditing . Grants and Projects: He has led ~50 EU and domestic projects , spanning smart tourist management , lean methodologies for screen creators , and ICT services for alternative communication . His policy work includes drafting laws on adult education and higher education reform. Leadership: Vice President of the Croatian Employers' Association in Education (HUP-UPO) and past President of the Sectoral Council for Electrical Engineering and Computing.

• Artificial Intelligence
• Educational Technology
• Business Process Management
• +5 more

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.

• Accounting
• Cost Accounting
• Tax Accounting
• +4 more

Ivana Barišić, PhD , is an Associate Professor at the Department of Accounting , Faculty of Economics and Business, University of Zagreb . Her academic journey includes a PhD in Public Sector Cost Governance (2006), MSc in Accounting and Finance (2005), and BSc in Accounting (1999), all from the University of Zagreb. Research Focus: Cost accounting in public sectors, managerial accounting for higher education and healthcare, telecommunications cost modeling, and internal audit frameworks. Teaching: Delivers courses in accounting, cost accounting, tax accounting, and managerial accounting at the University of Zagreb, with guest lectures at institutions like Alpen-Adria University Klagenfurt and FH Campus 02 Graz. Projects: Led ABC implementation at Clinical Hospital Centre Zagreb and BSC performance measurement projects. Participated in EU-funded initiatives and Croatian Science Foundation grants. Publications: 15+ articles on internal audit, cost management, and corporate governance, with recent work on risk-based auditing and digital transformation in accounting education. Academic Recognition: No explicitly mentioned awards in provided data. Her email is ibarisic@efzg.hr, and office hours are Tuesday 13:00-15:00.

Danijel KarolyiView profile

Professor

• Animal Science
• Meat Quality Assessment
• Pig Breeds
• +7 more

Prof. Danijel Karolyi is a Full Professor at the Department of Animal Science, Faculty of Agriculture, University of Zagreb, with a focus on meat quality, genetic diversity in pig breeds, and animal welfare. He has held academic roles since 1998, advancing from Assistant to Professor in 2018. His expertise spans traditional meat product technology, stress physiology, and conservation of local livestock breeds. PhD in Animal Science, University of Zagreb (2003-2007) Master’s in Animal Science, University of Zagreb (1998-2002) Graduate thesis, University of Zagreb (1990-1998) His research centers on the genetic and nutritional factors influencing carcass and meat properties, with emphasis on local breeds like the Turopolje and Black Slavonian pigs. He investigates stress adaptation, proteolysis/lipolysis during curing, and sustainable production systems. Recent work includes EU-funded genomic studies and optimizing traditional processing techniques. Article trends reflect interdisciplinary approaches to meat science, combining genetics, food chemistry, and socio-economic analysis. Topics include fatty acid profiling, geographical indications, cross-fostering impacts, and disease effects on biodiversity. Collaborative EU projects dominate his recent publications. Editorial board member, Meso journal (2008-2021) Animal Science Section Editor, Agriculturae Conspectus Scientificus (2016-2020) Commission member for EU PGI label specifications for Drniš ham and Slavonian kulen Prof. Karolyi has coordinated university projects on animal genetics and quality assessment. He serves as a consultant for Croatian agricultural agencies and has provided expert training in carcass evaluation and animal welfare. His professional activities include workshops across Europe on meat processing and conservation of animal genetic resources.

• Business Analytics
• Decision Support Systems
• Artificial Intelligence in Business
• +5 more

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.

Igor S. PandžićView profile

Professor

• Computer Vision
• Virtual Humans
• Facial Animation
• +7 more

Prof. Dr. Igor S. Pandžić is a Full Professor at the Department of Telecommunications , Faculty of Electrical Engineering and Computing (FER) , University of Zagreb . He is also affiliated with the Center of Excellence for Computer Vision , actively contributing to research in computer graphics, virtual humans, and interactive systems. Education: While specific degrees are not listed in the provided text, his title "prof. dr. sc." (Croatian for Full Professor with a Doctor of Science degree) indicates he has completed doctoral studies and achieved the highest academic rank. Research Interests: Virtual Humans & Avatars: Creation, animation, and behavioral modeling of lifelike virtual characters for interactive applications. Facial Animation & Biometrics: Real-time speech-driven facial animation, facial expression recognition, age/gender estimation, and biometric data filtering. 3D Graphics & Virtual Environments: Real-time rendering, networked collaborative virtual environments (e.g., VLNET), and 3D visualization on mobile/web platforms. Human-Computer Interaction: Multimodal interfaces combining speech, gesture, and facial cues for embodied conversational agents (ECAs). Computer Vision: Face alignment, landmark detection, pattern recognition with decision trees, and efficient algorithms for mobile deployment. Research Trends from Publications: His recent work (2022-2023) emphasizes efficiency in computer vision (e.g., fast face alignment, memory-efficient models), unsupervised learning for biometric data quality improvement, and real-time applications on mobile devices. Earlier foundational work spans MPEG-4 facial animation standards, networked virtual environments, and virtual human frameworks. Scientific Awards: No specific awards are mentioned in the provided text. Advising & Grants: While individual students are not named, his extensive publication record and leadership in research centers imply active supervision of PhD and Master's students. Grant details are not specified. Labs & Teams: He leads or heavily contributes to the Center of Excellence for Computer Vision at FER, fostering interdisciplinary collaboration in visual computing and AI.

Mateja PećinaView profile

Senior Lecturer

• Molecular Genetics
• Animal Biotechnology
• Meat Quality Analysis
• +3 more

Mateja Pećina is a Senior Lecturer at the Department of Animal Science and Technology, University of Zagreb Faculty of Agriculture, specializing in molecular genetics and biotechnology applications in animal production. She holds a PhD in Animal Science and Technology and has been affiliated with the university since 2016. PhD in Animal Science and Technology (2017-2023) MSc in Animal Science and Technology (2013-2015) BSc in Food Science and Technology (2010-2013) Her research focuses on: Developing molecular methods for animal production Gene polymorphism effects on meat quality Bioremediation techniques in food processing Genetic markers for sensory properties in livestock Dry ageing impacts on beef burgers Conservation of endangered local breeds Recent publications highlight trends in genetic influence on meat composition, bioremediation advancements, and sustainable practices in livestock farming. She coordinates two major projects: Genetic, Economic, and Social Interactions in Local Breed Conservation (Croatian Science Foundation, 2021-2024) and Boosting Excellence in Experimental Research for Agri-Food Economics and Management (Horizon 2020, 2020-2023). Her international collaborations include scientific visits to the University of Padova, University of Bologna, and Swedish University of Agricultural Sciences for research in animal biotechnology and meat analysis.

Mile ŠikićView profile

Professor

• Computational Biology
• Genomics
• Deep Learning in Sequencing
• +4 more

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

Goran OblakovicView profile

Associate Professor

• Risk Management
• Strategic Management
• Operations Management
• +3 more

Dr. Goran Oblakovic serves as Associate Professor in Management and Strategy at Luxembourg School of Business, teaching undergraduate, MBA, and executive programs. Concurrently, he holds leadership roles at Zagreb School of Economics and Management as Associate Dean for Undergraduate Programs and Executive MBA Program Director. His academic foundation includes a Ph.D. in Management from University of St. Gallen (Switzerland) focused on bank risk management, complemented by master's degrees in Strategic Finance and Business Administration from Indiana University (USA). His educational background spans: Ph.D. in Management, University of St. Gallen, Switzerland (Research: Risk Management in Banks) Master of Science in Strategic Finance (MSSF) and MBA, Indiana University, USA Bachelor of Science in Business Administration, Indiana University, USA Dr. Oblakovic's research centers on risk, strategic, and operations management with specialization in human-computer interaction, banking, and entrepreneurship. His work bridges theoretical frameworks with practical applications, examining technology adoption in organizations, crisis-induced consumer behavior, and sustainable business practices through interdisciplinary methodologies including bibliometric analysis and behavioral studies. Analysis of his 15 most recent publications (2018-2025) reveals evolving research trajectories from pandemic economic impacts toward generative AI's organizational implications. Key thematic clusters include technology adoption dynamics (particularly AI in workplaces), behavioral responses to crises (panic buying during pandemics), and sustainable management frameworks (Five Capitals, Value Chain Optimization). Methodologically, he combines bibliometrics for trend mapping with empirical studies on human factors in technology compliance. Dr. Oblakovic maintains extensive industry engagement through consulting projects with major corporations including Cargolux, Ericsson, Kaufland, Sparkasse, Grawe, and Novomatic. As Vice President of Platinum Invest's supervisory board, he contributes to investment fund governance while applying academic insights to real-world business challenges across logistics, banking, and technology sectors.

• Business Process Management
• Business Intelligence
• Digital Transformation
• +6 more

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.

Zoran JančićView profile

Lecturer

• E-learning Systems
• Digital Education
• Instructional Design
• +3 more

Zoran Jančić is a lecturer at Algebra University and head of its E-learning Department . With over 20 years of experience in digital education projects, he specializes in e-learning system implementation, content development, and project management across educational, public, and corporate sectors. Graduated from Faculty of Electrical Engineering and Computing, Zagreb Adobe Certified Expert (ACE) for Adobe Captivate Moodle Educator Certificate (MEC) based on DigCompEdu framework His research interests focus on e-learning systems , digital education infrastructure , and learning management systems (LMS) . Key projects include: Developing 1500+ school hours of digital content for Croatian academic network CARNET Implementing national e-learning systems for the State School of Administration Creating certification platforms for Croatian tradesmen used across four countries His recent publications analyze corporate LMS investments , non-formal learning recognition , and storage solutions for small businesses , reflecting his interdisciplinary work at the intersection of educational technology and enterprise IT systems. Notable contributions include digital career tools and multimedia training programs .

• Environmental Geochemistry
• Sedimentology
• Geochemical Analysis
• +4 more

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
• +3 more

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.

Drahomira CuparView profile

Associate Professor

• Information Organization
• Information Retrieval
• Reading Habits Research
• +4 more

Assoc. Prof. Drahomira Cupar is an Associate Professor at the Department of Information Sciences and Technologies, University of Zadar. She specializes in information organization, digital humanities, and reading habits research. Her work focuses on classification systems, open access publishing, and cultural heritage preservation. She actively participates in projects like TRIPLE, OPERAS-PLUS, and CRAFT-OA. Consultation hours are Wednesdays 10:00–12:00 via email. Her research spans over 60 publications covering digital transformation of historical texts, metadata strategies, and literacy promotion. Key projects include digitization of Glagolitic texts and development of multilingual taxonomies. She teaches courses on information organization, research methodology, and library science. Awards section is currently unspecified. Grants involve EU-funded initiatives focusing on open science infrastructure and digital preservation. She leads the Thesaurus.hr initiative and contributes to the OPERAS network.