معرفی
Sławomir Nowaczyk is a Professor at Halmstad University affiliated with the School of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, and Data Mining, particularly for Streaming Big Data and Self-aware Systems.
- Current research areas: XAI, diagnostics, knowledge representation, and interdisciplinary AI applications
- Teaching: Artificial Intelligence, Data Mining, and Operating Systems
His work emphasizes data-driven fault detection in distributed systems, with applications in Intelligent Vehicles and Healthcare. He develops adaptive interestingness metrics for real-time data analysis and promotes resource-bounded AI for practical environments.
Recent publications reflect expertise in hybrid modeling (physics + data-driven), graph neural networks, and cross-modal diagnostic systems. Collaborations span automotive and smart grid industries through projects like VPMS, FuelFEET, and EVE.
PhD Supervision:
- Current: Yuantao Fan, Pablo del Moral, Ece Calikus, Awais Ashfaq, Shiraz Farouq, Alexander Galozy, Kunru Chen, Ghaith Taghiyar, Zahra Taghiyar
- Past: Rune Prytz (Volvo), Iulian Carpatorea, Hassan Nemati
Projects: ReDi2Service, VPMS, InnoMerge, FuelFEET, EIS-IGS Smart Grids, Science without Borders, In4Uptime, ARISE, IMedA, SeMI, HEALTH, BIDAF, EVE