Stefan Byttner

Stefan Byttner is a Professor at the School of Information Technology, Halmstad University. His research focuses on artificial intelligence, machine learning, virtual sensors, safe AI (XAI), and monitoring of heterogeneous mechatronic systems. He supervises doctoral students in XAI and leads major initiatives like the "MAISTR" program and "Innovation platform AI.m".

• Master's Program Manager (2015-2018)
• Director of Doctoral Program (2012-2018)
• Head of Department ISDD (2018-)
• Acting Dean, School of Information Technology (2022-2023)
• Collaboration Leader at ITE (2017-2018)

His research integrates AI with mechatronics and industrial IoT, emphasizing explainability and safety in deployed systems. Recent work explores graph neural networks for clinical and spatiotemporal forecasting applications, as well as diffusion models for time series imputation.

Key publication trends include neuroimaging AI, time series modeling, and industrial anomaly detection. Applications span district heating systems, vehicle diagnostics, and healthcare analytics with PET scans.

Teaching areas include artificial intelligence, data mining, thesis supervision at bachelor's and master's levels, and technology-democracy intersections. No awards or student names are explicitly mentioned in available texts.