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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.

• Educational Technology
• Informatics Education
• Programming Pedagogy
• +3 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).

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

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

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

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

Dr. Krešimir Molčanov is a Senior Scientist at the Ruđer Bošković Institute in Zagreb, Croatia, working within the Division of Physical Chemistry, Laboratory for chemical and biological crystallography. He maintains a dual academic role as an educator at the Department of Chemistry, Faculty of Science, University of Zagreb, where he teaches specialized courses in crystallography and general chemistry. Dr. Molčanov's educational background includes primary education at Ivan Gundulić school in Zagreb (1985-1993), secondary education at II. gimnazija high school in Zagreb (1993-1997), undergraduate studies in Chemistry at the University of Zagreb (1997-2002), and doctoral studies in Inorganic and Structural Chemistry at the same institution (2003-2008). His research primarily focuses on chemical crystallography with special emphasis on radical systems, particularly semiquinone radicals and their electronic properties. Dr. Molčanov investigates the relationship between crystal structure and functionality, with applications in magnetic materials, conductivity, and proton transport. A recurring theme throughout his career is the investigation of 'pancake bonding' - a special type of multicenter bonding in radical systems that bridges the gap between covalent and intermolecular interactions. His work increasingly incorporates quantum crystallographic methods to understand electron density distribution in complex systems. Analysis of Dr. Molčanov's publication record shows consistent evolution from fundamental hydrogen bonding studies toward advanced applications in functional materials. His most recent work (2023-2025) demonstrates sophisticated integration of experimental crystallography with electronic structure analysis, particularly in systems involving radical anions and multicenter bonding. The recurring themes across his publications include π-stacking interactions, charge transfer phenomena, and the design of materials with tailored electronic properties. Dr. Molčanov has led multiple research projects funded by the Croatian Science Foundation and Croatian Academy of Sciences and Arts. His leadership roles include projects on metal-organic systems based on oxalate and quinoid ligands, interactions of semiquinone radicals for magnetic materials, and design of functional materials based on quinoid rings. He has coordinated international collaborations with researchers from France, Slovenia, and India, focusing on crystallographic studies and materials design. Within the Laboratory for chemical and biological crystallography at the Ruđer Bošković Institute, Dr. Molčanov maintains close collaboration with multiple research teams, including the long-standing partnership with Dr. Biserka Kojić-Prodić (his PhD supervisor). His interdisciplinary approach spans chemistry, physics, and materials science, with particular emphasis on the structural basis of electronic properties in solid-state systems.

• Chemical Crystallography
• Structural Chemistry
• Hydrogen Bonding
• +5 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.

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

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.

• Cybersecurity
• Network Protocols
• Cloud Computing
• +7 more

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

• Supramolecular Chemistry
• Molecular Self-Assembly
• Thermodynamic Studies of Complexation
• +5 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.

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

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

Dalibor Paar serves as an Associate Professor in the Department of Experimental Physics at the Faculty of Science, University of Zagreb. His academic appointment includes teaching undergraduate Physics courses (36208 and 37632), integrated Physics programs (171101 and 171109), and specialized courses in science popularization and computer applications in teaching. He actively supervises graduation theses and contributes to educational innovation through demonstration experiment design. His research spans two primary domains: cave microclimate dynamics in the Dinaric Karst and physics education methodology. In karst studies, he investigates CO 2 dynamics, radon concentrations, magnetic susceptibility of cave sediments, and climate change impacts on deep cave systems like Samograd Cave and Modrič Cave. His educational work focuses on developing demonstration experiments, integrating micro:bit and Arduino technologies into physics instruction, and promoting science popularization in primary/secondary schools through field-based learning and STEM initiatives. Analysis of his 15 most recent publications reveals strong interdisciplinary integration between geoscience and physics education. Karst research dominates with 11 papers examining microclimate controls, geochemical processes, and environmental monitoring in Croatian caves, while 4 papers address physics pedagogy including demonstration experiments, misconceptions in physics learning, and early STEM education. This dual focus creates unique synergies where cave environments serve as natural laboratories for both environmental research and science education. No scientific awards were documented in the provided materials. His research collaborations include the CARDIKARST project examining karst systems in the global carbon cycle and multidisciplinary investigations of Velebit Mountain's deep cave systems. He actively contributes to thesis supervision and has developed educational resources including the STEM educator manual "STEM u neformalnom obrazovanju za zanimanja 21. stoljeća". Professor Paar's field research centers on the Northern Velebit National Park cave systems, particularly the Lukina jama–Trojama cave complex (-1,431 m), where he conducts microclimate monitoring and geochemical analysis. His educational initiatives include the "STEAM Lika" field teaching program and development of the "Jama Varnjača" educational trail concept. He maintains strong connections with Croatian speleological societies and contributes to national cave conservation efforts through scientific monitoring and policy recommendations.

• Cave Microclimate
• Karst Systems
• Geochemistry
• +6 more

Prof. Marijana Đaković serves as Full Professor and Vice Dean for Science at the Department of Chemistry, Faculty of Science, University of Zagreb. Her academic career spans over 25 years with progressive appointments from Assistant (1997-2013) to current Professor (2023-present). She maintains strong international collaborations including with Kansas State University and University of Vienna. Her research focuses on mechanically induced flexibility of crystals, supramolecular chemistry, and crystal engineering. She investigates how specific structural features and intermolecular interactions govern mechanical properties in crystalline coordination polymers, particularly cadmium(II) systems. Her work bridges chemistry and materials science to develop design principles for flexible crystalline materials with tunable mechanical responses. Analysis of her 15 most recent publications reveals dominant research themes in mechanical flexibility of coordination polymers (87%), crystal engineering (73%), and supramolecular chemistry (60%). Key methodologies include crystallographic analysis (93%), computational modeling (40%), and mechanical property characterization (33%). Her work shows consistent progression from fundamental structural studies toward applications in smart materials design. Associate Member of Croatian Academy of Sciences and Arts (2020) Annual Science Award by Republic of Croatia (2022) Multiple Rector's Awards for student mentorship Best Poster and Presentation Awards at international conferences Prof. Đaković has mentored 16 graduate students including PhD candidate Mateja Pisačić (2022). She leads major research projects funded by Croatian Science Foundation and Croatian Academy of Sciences and Arts, with total funding exceeding 3 million HRK. Her laboratory focuses on crystal growth, structural characterization, and mechanical property testing of coordination polymers. Current research explores the relationship between molecular structure and macroscopic mechanical behavior in crystalline materials, with potential applications in flexible electronics and responsive materials.

• Mechanically Induced Flexibility of Crystals
• Supramolecular Chemistry
• Crystal Engineering
• +3 more

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.

• Business Process Management
• Robotic Process Automation
• Digital Transformation
• +6 more

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.

• Partial Differential Equations (PDEs)
• Continuum Mechanics
• Numerical Analysis
• +6 more