Find Academic Supervisors

• 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.

Karla VukmanView profile

Assistant Professor

• Production Management
• ERP Systems Implementation
• Database Modeling (SQL)
• +3 more

Karla Vukman is an Assistant Professor at the University of Zagreb's Faculty of Forestry and Wood Technology, affiliated with the Department of Wood Technology. She specializes in production management, ERP systems implementation, and wood industry optimization. Her academic role includes teaching Operations Management courses at both undergraduate and graduate levels. Dr. Vukman has held professional roles including Operations Manager at Conty plus d.o.o. and currently serves as project associate in EU-funded initiatives like the Development and Implementation of Professional Practice at the Faculty of Forestry studies (2020-2023). Her research focuses on integrating information systems (ERP, SQL databases) to enhance operational efficiency, with emphasis on wood processing companies and sustainable practices. Notable projects include analyzing FSC recycling certifications in Northern Europe and ERP adoption trends in the wood industry. She contributes to academic-industry collaborations through case studies in Croatian furniture manufacturing and wood waste management. Publications span technical publications like CROSBI and Google Scholar, addressing topics from FMEA frameworks in manufacturing to EU market trends in wood products. She actively participates in professional development initiatives such as the CPD4GB grant-funded program (2014–2020).

• Educational Technology
• Database Systems
• Computer Science
• +5 more

Dr. Ida Panev is a professor of professional studies at the Veleučilište u Rijeci (Rijeka College of Applied Sciences). She specializes in database systems, information technology education, and multimedia systems. Her teaching portfolio includes courses such as Data Modeling , Database Systems , Multimedia Systems , and Development of Information Systems . She holds a doctorate in sociology (dr. sc. socio.) and actively contributes to academic discourse through research in educational technology, instructional design, and cognitonics principles in ICT education. Her research explores topics such as virtual reality in education, SQL optimization, online learning methodologies during the pandemic, and cognitive principles in multimedia systems. She has published extensively on e-learning strategies, cloud computing security, and the impact of instructional media on student learning styles. Dr. Panev is accessible via email ( ipanev@veleri.hr ) and conducts student consultations via MS Teams, Merlin, and email by appointment.

• Information and Communication Sciences
• Machine Learning
• Business Process Optimization
• +4 more

Saša Mitrović is an Assistant Professor at the Faculty of Economics and Business in Osijek, Croatia, specializing in Information and Communication Sciences . With expertise in Machine Learning , Business Process Optimization , and Energy Efficiency , he teaches courses like Business Application Development and Relational Databases . His office hours are on Mondays from 11:30 a.m. to 12:30 p.m., and he can be reached at sasa.mitrovic@efos.hr . Research interests span Machine Learning applications in economic trend prediction Smart city energy systems Imbalanced data classification Information and communication technologies in public sectors Publications highlight his work in CO₂ emissions modeling , energy analytics , and digital transformation , leveraging methodologies like CRISP-DM and recursive partitioning. His research trends emphasize data-driven sustainability and urban policy innovation . Awards Microsoft Certified Professional (Windows application development, 2012) Skills include HTML, CSS, C#, ASP.NET, PHP, JavaScript, SQL Server, and MySQL. He is also a doctoral student in Social Sciences at the Faculty of Organization and Informatics , University of Zagreb.

Đani PašićView profile

Lecturer

• Gamification
• Machine Learning
• Computer Science
• +3 more

Đani Pašić is a lecturer at Algebra University of Applied Sciences , specializing in computer science. He holds international certifications in Java programming and SQL Server database management, and his research focuses on gamification and machine learning applications in education and sports. Education: Specialist graduate degree in computer science (2018) from Algebra University of Applied Sciences. Research Interests: His work explores how gamification principles can enhance student motivation and outcomes in programming courses. Additionally, he investigates machine learning models for predicting student dropout risks and applies gamification techniques to recreational sports, particularly tennis. Professional Work: Concurrently, he serves as a Senior Specialist Software Development Engineer at Ericsson Nikola Tesla, contributing to R&D projects. His expertise bridges academic research and industry software engineering practices. Key Publications: 2023: Project-based exams in education 2022: Long-term effects of gamification in programming 2021: Leaderboards in object-oriented programming 2020: ML models for student dropout prediction 2018: Gamification in sports 2018: Gamification solutions in tennis

Marin KalužaView profile

Professor

• Databases
• Software Engineering
• Computer Science
• +4 more

Marin Kaluža is a Professor of Professional Studies at Veleri University, holding a permanent position. His expertise spans Database Systems, Software Engineering, and Information Technology . He teaches courses in Databases, Distributed Systems, Programming Practices, and Software Engineering Methodologies. His research focuses on database compliance standards, blockchain consensus algorithms, web application frameworks, and cloud migration strategies. He actively publishes in peer-reviewed journals, with notable work on SQL standard adherence, React vs Vue.js framework comparisons, and IoT educational systems. Dr. Kaluža advises students on practical software development projects and maintains an active research agenda in data modeling techniques and cybersecurity for CMS platforms. His contributions include pioneering methodologies for business system complexity estimation and RESTful web service architecture design. He is accessible for student consultations on Mondays and Thursdays, and via mobile during work hours. Teaching Responsibilities: Databases, Software Engineering, Programming Practicum Key Research Themes: Database Standards, Cross-Platform Development, Cloud Migration Notable Projects: Veleri-OI IoT School Meteo System, Knowledge-Based Data Modeling Framework Though no formal awards are listed, his extensive publication record (over 50 articles since 2002) demonstrates sustained academic contribution to IT education and applied research.

• Information Systems
• Data Science
• Artificial Intelligence
• +5 more

Dr. Sabrina Šuman is a Professor of Professional Studies at the University of Rijeka, Croatia. She teaches courses including Information Systems for Management, Decision Support Systems, Programming Basics, and IoT-related subjects. Her research focuses on Data Science, Artificial Intelligence, Cloud Computing, and Quality Management, with a strong emphasis on practical applications in education and business. She actively contributes to the development of IoT educational programs and cloud migration strategies. Her work spans database systems, sentiment analysis, and propaganda detection in digital contexts. She is affiliated with the Veleri-OI IoT School and has advised numerous projects in her field. Office hours are held on Monday and Thursday, and she coordinates student internships and professional practices. Her research interests include leveraging graph databases (Neo4j), analyzing customer behavior in travel agencies, and improving educational outcomes through IoT integration. She has published extensively on topics such as hierarchical clustering in education, cloud platform comparisons (AWS vs. OpenShift), and standards compliance in database systems. Her work often bridges theoretical models with real-world implementations, such as the Veleri-OI Meteo System web application. Key contributions include frameworks for knowledge-based data modeling, NLP-driven solutions for entity-relationship modeling, and methodologies for evaluating hotel reviews using sentiment analysis. She emphasizes practical educational tools and cloud migration guidelines for businesses, reflecting her dual focus on academic research and industrial application.