Research Focus
The IDSA research group at FIIT STU focuses on
innovative data intelligence and computational intelligence solutions
towards building AI-assisted systems and applications using data-driven technologies
with respect to information privacy and security.
We are exploring various aspects of intelligent data and computing,
as well as AI in IT operations (AIOps) toward responsible AI and business impacts
with a strong focus on education.
Keywords
Responsible AI • AIOps • Natural Language Processing • NeuroEvolution • Green Computing • Information Privacy and SecuritySeminars (selected)
AI and the Legal Profession: Challenges and Risks in the Area of Personal Data Protection and Lawyers' Duty of Confidentiality, BPF 2025Modern software development: DevOps, MLOps, DataOps, ModelOps, LLMOps and AIOps, STU GSuite access, 2025
Právo a AI: Využitie umelej inteligencie vo vzdelávacom procese, 2025
Responsible AI and frequent situations with Theses, STU GSuite access
How to prepare a paper? STU GSuite access
Projects (selected)
Facilitating Liquidity and Usability of Data and AI models in EOSC (FLUID-AI), Horizon Europe, 2026-2029AI Research Enhancement through Networked Agents (ARENA), Horizon Europe, 2026-2029
Building Regional Innovation Ecosystems (BRIE), INTERREG SK-AT, 2025-2027
Artificial Intelligence for Legal Professions (AILE), EU NextGenerationEU, 2024-2026
AI Summer Schools and International Conferences (organizing, editorial)
International Conference on Technological Intelligence and Business Strategies, Springer Nature, 2026International Workshop on Intelligent Computing in Engineering (EG-ICE), Glasgow, 2025
European Summer School on Artificial Intelligence (ESSAI), Bratislava, 2025
University textbooks in ELVIRA
Foundations of Generative AI and Applied Machine Learning, 2026Introduction to Data Science, 2022
Publications (selected, Open Access, top-ranking)
Local versus central differential privacy under final-model privacy attacks in low-client-count cross-silo federated learning. Scientific Reports, 2026Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. Artificial Intelligence Review, 2025
AI4EOSC: a federated cloud platform for artificial intelligence in scientific research. Future Generation Computer Systems, 2026
Machine learning operations landscape: platforms and tools. Artificial Intelligence Review, 2025
Secure federated learning for multi-party network monitoring. IEEE Access, 2024
Network security AIOps for online stream data monitoring. Neural Computing and Applications, 2024
Cognitive abilities and visual complexity impact first impressions in five-second testing. Behaviour & Information Technology, 2024
An improved sea lion optimization for workload elasticity prediction with neural networks. International Journal of Computational Intelligence Systems, 2022
Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey. Artificial Intelligence Review,
Springer Nature research highlights in Computer Science 2020