جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

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 Balkovićمشاهده پروفایل

دانشیار

• Data Science
• Education Policy
• Labor Market Analysis
• +۷ مورد دیگر

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.

Igor S. Pandžićمشاهده پروفایل

استاد

• Computer Vision
• Virtual Humans
• Facial Animation
• +۷ مورد دیگر

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.

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

Goran Oblakovicمشاهده پروفایل

دانشیار

• Risk Management
• Strategic Management
• Operations Management
• +۳ مورد دیگر

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.

• Cybersecurity
• Network Protocols
• Cloud Computing
• +۷ مورد دیگر

Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.

• 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.

Drahomira Cuparمشاهده پروفایل

دانشیار

• Information Organization
• Information Retrieval
• Reading Habits Research
• +۴ مورد دیگر

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.

Zrinka Džoićمشاهده پروفایل

استادیار

• Information Society
• Methodology of Scientific Work
• Open Science
• +۳ مورد دیگر

Zrinka Džoić is an Assistant Professor at the Department of Information Sciences and Technologies, University of Zadar. She teaches courses including Basics of Publishing and Bookselling, Introduction to Scientific Research Work, and Information Society. Her office is located in Office 21, and she holds consultations every Thursday from 1:30 PM to 3:30 PM. Her research focuses on Open Science, methodology of scientific work, information institution management, and the intersection of library science with cultural heritage. She contributes to EU projects like Conexus Research for Society (RFS) and has organized events such as the PUBMET2022 conference on scholarly communication. Her academic work spans library services innovation, student engagement in academic projects, and gender representation in STEM fields. She actively participates in interdisciplinary research collaborations, including studies on queer literature in public libraries and Delphi method applications in academic research. Her recent projects emphasize curriculum development for information science programs and enhancing open science competencies in educational outcomes. Dr. Džoić has published widely on topics ranging from specialized library curation to digital literacy, reflecting her commitment to advancing both theoretical and applied aspects of information sciences. Her contributions bridge academic research with practical library services, emphasizing inclusivity and innovation in information management.

Dalia Suša Vugecمشاهده پروفایل

استادیار

• Business Process Management
• Robotic Process Automation
• Digital Transformation
• +۶ مورد دیگر

Dalia Suša Vugec, PhD is an Assistant Professor at the Department of Informatics, Faculty of Economics & Business, University of Zagreb. She is actively involved in teaching and research within the field of business informatics, with a focus on digital transformation and business process management. Her educational background includes a graduation in managerial informatics in 2012 and a PhD earned in 2020, both from the University of Zagreb, Faculty of Economics & Business. She has also pursued additional education at the University of Ljubljana and University of Cambridge. Business Process Management Robotic Process Automation Digital Transformation Knowledge Management Digital and Information Literacy Artificial Intelligence Applications Her research output demonstrates a strong focus on business process management, digital transformation, and the intersection of technology with business processes. Recent publications explore robotic process automation, process mining, AI applications in knowledge management, and the digital literacy of students. Her work often examines practical implementations and case studies across various industries. Dean's Award for Excellence for graduate thesis (2012) Dr. Suša Vugec teaches various courses including Business Process Management Systems, Business Informatics, and Artificial Intelligence Systems in Business. Her teaching materials are delivered through Google Classroom, reflecting her practical approach to integrating digital tools in education. She has actively participated in numerous scientific projects and serves as a reviewer for international scientific journals and conferences.

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.

• Machine Learning
• Data Science
• Computational Biology
• +۴ مورد دیگر

Tomislav Šmuc serves as Head of the Division of Electronics and Research Professor at Zagreb's Ruđer Bošković Institute, leading the Laboratory for Machine Learning and Knowledge Representation. Previously, he taught Machine Learning at the University of Zagreb's Faculty of Science (2010-2021) while maintaining his primary research affiliation. His educational background includes a PhD (1994), MSc (1991), and BSc (1986) in Electrical Engineering from the University of Zagreb. Research interests span machine learning, data science, computational biology, and complex systems, with emphasis on redescription mining, network analysis, and biomedical applications. Current projects include EU-funded initiatives SUSA, Ai4Health.Cro, MAESTRA, and MultiPlex focused on healthcare AI and data science. His publication portfolio shows strong continuity in bioinformatics and machine learning, with recent work emphasizing multi-view data integration, drug discovery, and network analysis. The 15 most recent articles demonstrate consistent output across top journals like Nature Communications and Scientific Reports, with growing emphasis on translational biomedical applications. As academic advisor, he has mentored four doctoral students including Fran Supek and Matija Piškorec. His research is supported through multiple EU grants including FP7 projects MAESTRA and MultiPlex, and current DIGITAL EU initiatives Ai4Health.Cro and SUSA. The Laboratory for Machine Learning and Knowledge Representation under his leadership focuses on developing novel algorithms for complex data analysis, with applications spanning computational biology, healthcare informatics, and network science, maintaining active collaborations across European research institutions.

Franjo Peharمشاهده پروفایل

دانشیار

• Scientific Communication and Publishing
• Bibliometrics
• Scientometrics
• +۷ مورد دیگر

Assoc. Prof. Franjo Pehar is an Associate Professor at the Department of Information Sciences and Technologies, University of Zadar. His research focuses on scientific communication, bibliometrics, information systems, and human-computer interaction with a particular emphasis on user experience (UX) and usability. He leads projects like OPERAS-PLUS and ILO, emphasizing user-centered methodologies in digital publishing and information literacy. His work bridges quantitative research analysis and practical applications in educational and corporate digital transformation. Key research interests include bibliometric analysis of Croatian scientific fields, UX questionnaire validation, and digital publishing standards. He has contributed to multilingual MOOC development and studies on Croatian companies' readiness for digital transformation. Prof. Pehar's publications span eye-tracking studies for visual attention in digital interfaces, cross-cultural UX adaptations, and frameworks for quality objectives in scholarly communication. His projects OPERAS-PLUS and 2CODE aim to enhance cross-border digital ecosystems and business environments. He serves as a mentor in the Doctoral Studies program and maintains active collaborations with academic and industry partners. His lab focuses on advancing digital tools for libraries, publishers, and educators through innovative research and practical implementation.

• E-business
• E-learning
• Information Systems Quality and Assurance
• +۳ مورد دیگر

Lucija Blašković serves as Assistant Professor at the Department of Information Science and Mathematics within the Faculty of Agriculture, University of Zagreb. She has maintained continuous affiliation with the university since 2003, progressing from Assistant to Postdoctoral Researcher (2015) and currently holding her assistant professorship since 2017. Her office is located in the 5th Pavilion, 3rd floor, room 65, with consultations held Wednesdays 11am-1pm. Her academic credentials include: PhD in Information and Communication Sciences from Faculty of Humanities and Social Sciences, University of Zagreb Master of Economics (mag. oecc) in Information Management from Faculty of Economics, University of Zagreb Master of Economics in Marketing from Faculty of Economics, University of Zagreb Dr. Blašković specializes in digital transformation of agricultural systems , with core expertise in E-business implementation , E-learning pedagogy , and information systems quality assurance . Her research bridges computational methodologies with agricultural education, examining data literacy frameworks, influencer marketing efficacy for agricultural products, and machine learning applications in farming systems. Analysis of her 15 most recent publications (2024-2015) reveals three dominant research trajectories: (1) Pandemic-driven digital adaptation in agricultural education and consumer behavior, (2) Computational methods (K-means, CNNs) for educational and agricultural data analysis, and (3) Strategic implementation of e-learning systems in agricultural higher education. Her work consistently applies technical solutions to domain-specific agricultural challenges. She has secured research leadership through competitive grants: "Mjesto i uloga informatike u razvitku poljodjelskih sustava: primjer Hrvatske" (2017-2019, MZOS-funded) as Project Coordinator "Mogućnosti i oblici primjene optimiziranja proizvodnje na obiteljskim poljoprivrednim gospodarstvima" (2017, University of Zagreb-funded) as Project Coordinator Her teaching portfolio spans communications systems, agricultural information systems, AutoCAD drafting, and e-commerce, reflecting her interdisciplinary approach to agricultural informatics education.

Franka Grubišićمشاهده پروفایل

مدرس

• Computer Science
• Design
• Public Transport Systems
• +۳ مورد دیگر

Franka Grubišić is a Lecturer at Algebra Bernays University , with a focus on Computer Science , Geospatial Science , and Design . She holds a specialist undergraduate degree in Multimedia Computing (2019) and a graduate degree in Computer and Systems Sciences from Stockholm University (2023). Her work bridges creative and technical domains, including public transport systems, resilient societies, and humanitarian technology. Education: Specialist in Multimedia Computing (2019), Graduate in Computer and Systems Sciences (2023) Fields of Interest: Computer Science, Design, Sustainable Development, Geospatial Science Her research emphasizes geodesign , spatial data infrastructure , and human-centered technology , with applications in public services, crisis management, and smart cities. Recent publications highlight biomimetic geodesign , value mapping tools , and augmented reality cartography . She has received multiple Dean's awards , Rector's awards , and international recognitions. Her business consulting focuses on service design , user experience , and technical system optimization .