Biography
Dijana Oreski is an Associate Professor of Artificial Intelligence (AI) and Machine Learning (ML) at the University of Zagreb, Faculty of Organization and Informatics. She is the head of the Laboratory for Data Mining and Intelligent Systems (LOUISE). Her research interest lies at the intersection of artificial intelligence and social sciences, focusing on the application of AI and ML to address societal challenges and support sustainable development. She is particularly interested in the use of AI to promote data-driven decision making in business, education, and green transition initiatives such as renewable energy and sustainability-oriented innovation. She actively promotes AI literacy and contributes to the development of practical AI-driven solutions aimed at enhancing productivity and organizational efficiency.
Interest
Artificial Intelligence and Machine Learning
- AI in Business and Decision Support
- AI in Education and Learning
- AI for Renewable Energy and Sustainable Development
AI Literacy and Human–AI Collaboration (Augmented Intelligence)
Explainable and Responsible AI
Selected Publications
Oreški, Stjepan; Oreški, Dijana; Oreški, Goran. Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment // Expert systems with applications, 39 (2012), 16; 12605-12617 doi:10.1016/j.eswa.2012.05.023
Oreški, Dijana., Oreški, Stjepan., & Kliček, Bozidar. (2017). Effects of dataset characteristics on the performance of feature selection techniques. Applied Soft Computing, 52, 109-119.
Rožman, Maja; Oreški, Dijana ; Tominc, Polona: Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises // Frontiers in psychology, 43 (2022.), 1 - 16. DOI: 10.3389/fpsyg.2022.1014434
Oreški, Dijana. (2022). Framework of intelligent system for machine learning algorithm selection in social sciences. Journal of software, 17(1), 21-28.
Kadoić, Nikola., & Oreški Dijana. (2018). Analysis of student behavior and success based on logs in Moodle. 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2018-Proceedings,(pp. 654–659).
Recent Publications
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D. Vlahek, D. Oreški and M. P. Lukinec. (2025). Learning from the features we ignore: a critical perspective on feature engineering and the role of feature learning in learning analytics," in IEEE Access, doi: 10.1109/ACCESS.2025.3627304.
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M Rožman, D. Oreški, A Elias, MF Pynadath, P Tominc. (2025). AI Literacy Among University Students: A Comparative Study of Three Countries-Slovenia, Croatia, and India, IEEE Access.
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Rožman, M; Oreški, D ; Tominc, P. (2023). Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment // Sustainability, 15 (2023.), 6; 1 - 22. DOI: 10.3390/su15065019
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Rožman, M; Oreški, D ; Tominc, P. (2023.). A multidimensional model of the new work environment in the digital age to increase a company’s performance and competitiveness // IEEE access, (2023.), DOI: 10.1109/ACCESS.2023.3257104
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Tominc, P.; Oreški, D.; Rožman, M. (2023.).Artificial Intelligence and Agility-Based Model for Successful Project Implementation and Company Competitiveness. Information 2023, 14, 337. https://doi.org/10.3390/info14060337
Full paper list: https://scholar.google.com/citations?user=dxYH2qEAAAAJ&hl=hr&oi=ao
Active Projects
- 2021 – now: SIMON: Intelligent System for Automatic Selection of Machine Learning Algorithms in the Social Sciences, Croatian Science Foundation — Principal Investigator
- 2025 – now: OptiSolar AI: Autonomous System for Optimal Storage and Distribution of Electric Energy Based on Artificial Intelligence, Strengthening Strategic Partnerships for Innovation in the Industrial Transition Process (SPIN) — FOI Team Leader
- 2023 – now: AI2SEP: Developing Talents in Artificial Intelligence to Solve Disruptive Environmental Problems, Erasmus+ — Project Collaborator
- 2025 – now: AIoT4Therapy: Research and Development of an Integrated AI-IoT Solution for the Personalization of Physical Therapy and Kinesiotherapy, Strengthening Strategic Partnerships for Innovation in the Industrial Transition Process (SPIN) — Project Collaborator
- 2024 – now: Digit ASIA: Digital Transformation of Asian Higher Education, Erasmus+ — Project Collaborator
Recent Talks
- Generative AI in Action: Customizing Large Language Models with Your Own Data @ Summer school: AI in Action: Students & Companies Co-creating the Future
- Machine learning for renewable energy generation and consumption prediction @ Summer school AI for a Greener Planet:
- YOU + AI = CREATIVE TEAM: Creating with Generative Artificial Intelligence @ WorldSkills Croatia, National Competition of Vocational School Students
- Hello Claude, I am a scientist. How can you help me? @ Data science conference Europe, 2024.
- How to Integrate Generative Artificial Intelligence into Research @ INFCON24: Scientific Conference of Doctoral Students in Informatics
- Retrieval Augmented Generation in Large Language Models Applying Low Code Approach in Educational Setting, @ Machine learning conference, 2024.
- Artificial Intelligence in Scientific Research, @ Education for the Future: Challenges, Opportunities and Solutions, Faculty of Teacher Education
- How Does a Teacher Talk to Artificial Intelligence? @ Innovative Mathematics Teaching, Professional Conference for Mathematics Teachers
Recent Workshops
AI in Schools: Why, Who, and How @ STEMKa Conference
How to Integrate Generative Artificial Intelligence Tools into Scientific Research? @ Faculty of Organization and Informaticss
How Artificial Intelligence Is Transforming School @ Varazdin County for school principles