Associate Professor (Docent) of Artificial Intelligence and Data Science at the University of Skövde, Sweden. Former Director of the Master’s Programme in Data Science, with research expertise spanning Federated Learning, Machine Learning, and Data Mining. My work focuses on developing scalable, secure, and practical AI systems that bridge the gap between theory and real-world applications. I am passionate about leveraging AI and data-driven methods to address complex societal and industrial challenges.
Associate Professor (Docent) & Researcher
Flagship projects showcasing innovation and technical excellence
Integrated modelling for sustainable and optimized steel manufacturing processes. ProcTwin develops a demonstration platform to predict and visualize best use of multiple processing steps in a steel manufacturing chain using intelligent coupling of interconnected processing steps through numerical simulation, soft sensors, and distributed machine learning.
FEDn is an open-source, modular and ML-framework agnostic framework for Federated Machine Learning (FedML) developed by researchers from Uppsala university and Scaleout Systems. FEDn enables highly scalable cross-silo and cross-device use-cases over FEDn networks, motivated by the need for AI on private data and facilitating collaborative machine learning.
Stay informed about recent developments, achievements, and announcements