Rate My Professor Tony Lindgren

Tony Lindgren is a Senior Lecturer and Associate Professor (Docent in Computer and System Sciences since 2018) at Stockholm University’s Department of Computer and Systems Sciences, where he heads the Unit of Systems Analysis and Security. He obtained his PhD in Computer and System Sciences from Stockholm University in 2006 with the thesis "Methods of solving conflicts among induced rules," preceded by a Licentiate degree in 2003 on "Rule Conflicts - New Methods of Resolution" and a Master’s degree in 1999 on "Anytime Inductive Logic Programming." His professional career encompasses roles as Senior Developer at Solutions with Logic since 2012, Researcher at Scania CV AB from 2008 to 2012, Temporary Senior Lecturer at Stockholm University from 2005 to 2008, Doctoral Student from 2000 to 2005, and Research Assistant from 1999 to 2000.

Lindgren’s research specializes in machine learning, constraint programming, and logic programming, with applications in rule-based classification, predictive maintenance, vehicle fault diagnosis, and optimization for heavy trucks. He contributes to projects including RAPIDS – Reliable Adaptive Predictive maintenance and Intelligent Decision Support, REMAP – Reliable Multimodal Adaptive Predictive Maintenance, Extreme Food Risk Analytics (EFRA), and Improvement of Machine Learning Interpretability Algorithms. Key publications feature "CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification" (ACL Findings, 2024), "Automotive fault nowcasting with machine learning and natural language processing" (Machine Learning, 2024), "SCANIA Component X dataset: a real-world multivariate time series dataset for predictive maintenance" (Scientific Data, 2025), and "Z-Time: efficient and effective interpretable multivariate time series classification" (Data Mining and Knowledge Discovery, 2024). Awards include Best Industry Paper at IEEE ICPHM (2022), Best Presentation at ICAIR (2016), and Best Student Paper at ECML (2004). He serves on program committees for ECML PKDD, IJCAI, and others, and acts as opponent and examiner for doctoral theses.