At FOI, there are 14 scientific research projects being implemented that are financed through the National Recovery and Resilience Plan 2021–2026, covering the period from 2025/2026 to 2028/2029, that are focused on the strategic development areas of the Faculty.
Based on the Call for Funding Institutional Research Projects financed by the Recovery and Resilience Mechanism (NPOO) 2021–2026, FOI has granted the financing and implementation to 14 scientific-research projects oriented toward the Faculty’s strategic development areas.
- SMARTWIN: Digital twins and smart solutions
Principal Investigator: Full Prof. Neven Vrček, Ph. D.
Goal: To develop methodologies and technologies for digital twins and smart systems that advance future system information through the integration of the Internet of Everything and related disciplines. - PiPi: Data infrastracture and augmented intelligence for sustainable development
Principal Investigator: Assoc. Prof. Dijana Oreški, Ph. D.
Goal: To build a data infrastructure based on extended intelligence that supports sustainable development of social and technological systems. - VPiDT: Value Perspectives in Digital Transformation Initiatives
Principal Investigator: Assoc. Prof. Igor Pihir, Ph. D.
Goal: To analyze value aspects of digital transformation and its impact on organizations and business processes. - AI-ARENA: Framework for Ethical Use of AI Agents in Multidisciplinary Research of the Digital Society
Principal Investigator: Full Prof. Markus Schatten, Ph. D.
Goal: To develop an ethical framework and guidelines for responsible application of AI agents in interdisciplinary research on digital society. - Project StartUp.Score: Development of a Decision Model for Assessing Entrepreneurial Venture Readiness for Incubation
Principal Investigator: Full Prof. Nina Begičević Ređep, Ph. D.
Goal: To create a model for evaluating the readiness of startups for successful incubation and market development. - UD-IT: Improving IT service design: A service science taxonomy and framework for identifying user requirements
Principal Investigator: Full Prof. Renata Mekovec, Ph. D.
Goal: To advance IT service design through the service science taxonomy and identification of user requirements. - RASAD: Development of a Learning Analytics System Linked to Learning Design Using Artificial Intelligence
Principal Investigator: Full Prof. Blaženka Divjak, Ph. D.
Goal: To develop a learning analytics system using artificial intelligence to support more efficient education and instructional design processes. - NextImpact: Social Impact of Enterprises: From Theory to Digitalization
Principal Investigator: Assoc. Prof. Irena Konecki, Ph. D.
Goal: To study the social impact of business entities through theoretical concepts and their digital models in practice. - IUPIK: Integration of artificial and business intelligence, and quantum information science in business process and systems management
Principal Investigator: Full Prof. Danijel Radošević, Ph. D.
Goal: To investigate synergies among artificial and business intelligence and quantum information science for optimizing business processes. - EDU-FUTURE: Acceptance of Innovation in Education: Universal Design for Learning and Artificial Intelligence as the Foundation of Future Teaching
Principal Investigator: Full Prof. Igor Balaban, Ph. D.
Goal: To promote universal design for learning along with the application of artificial intelligence to foster innovation in educational processes. - LLMEdu: The Role of Large Language Models in Improving Teaching and Learning Methods
Principal Investigator: Full Prof. Goran Bubaš, Ph. D.
Goal: To explore the application of large language models (LLMs) for enhancing methods of teaching programming and communication disciplines. - INDIGO 5.0: Managerial and Organizational Aspects in the Digitally Intensive Environment of Industry 5.0: The Impact on Resilience and Business Performance of Large Enterprises
Principal Investigator: Assoc. Prof. Ivan Malbašić, Ph. D.
Goal: To analyze the impact of Digital Industry 5.0 on resilience and performance of large enterprises. - SQUAD: Software Engineering in the Era of Artificial Intelligence, Quantum Computing, and Other Disruptive Technologies
Principal Investigator: Assoc. Prof. Zlatko Stapić, Ph. D.
Goal: To study modern challenges and methods in software engineering in the context of artificial intelligence, quantum computing, and other disruptive technologies. - DEFI-SUSTAIN: Dynamic Valuation of Decentralized Blockchain Platforms for Socially and Economically Sustainable Financial Innovation
Principal Investigator: Full Prof. Vladimir Kovšca, Ph. D.
Goal: To develop approaches for dynamic evaluation of decentralized blockchain systems to support socially and economically sustainable financial innovations.
