Thorsteinn Rögnvaldsson

Thorsteinn Rögnvaldsson is a Professor of Computer Science and Deputy Vice Chancellor for Research at Halmstad University. He leads the Center for Applied Intelligent Systems Research (CAISR), focusing on machine learning applications in predictive maintenance, healthcare, and satellite-based poverty analysis. His research spans meta-learning, survival analysis, and synthetic data generation.

Education: Not explicitly listed in the provided texts, but inferred to include doctoral training in computer science or related fields given his academic rank.

Research Interests: Machine learning for knowledge creation, predictive maintenance for heavy vehicles, forklift activity recognition, synthetic healthcare data, and satellite imagery analysis for poverty mapping. Collaborations include projects with Lund University on neural networks for satellite data interpretation.

Articles Trends: Recent work emphasizes meta-learning frameworks, survival analysis model interpretability, and synthetic data evaluation. Key domains include healthcare, industrial IoT, and cross-domain adaptation.

Awards: None explicitly listed in the provided texts.

Grants/Advising: Coordinates CAISR's research projects and supervises doctoral students in applied machine learning. Active in industry partnerships, particularly with automotive and healthcare sectors.

Labs/Teams: Director of CAISR, which hosts interdisciplinary teams in AI, IoT, and big data applications.