I'm Addi Ait-Mlouk, Associate Professor (Docent) in Artificial Intelligence and Data Science at the University of Skövde, Sweden, and a member of the Skövde Artificial Intelligence Lab. I research decentralized AI: methods that train models across hospitals, factories and edge devices while the data stays where it is, with work on robust aggregation, efficient training at the edge, and applications in healthcare and steel manufacturing.
Four themes, each linked to its papers.
ActiveIntegrated modelling for sustainable and optimized steel manufacturing. A demonstration platform that predicts and visualizes the best use of the processing steps in a steel manufacturing chain, coupling them through numerical simulation, soft sensors and distributed machine learning.
Advancing the university's research and education within artificial intelligence.
CompletedAn open-source, modular and ML-framework-agnostic system for federated machine learning, supporting highly scalable cross-silo and cross-device use cases.
Addi Ait-Mlouk, Omar Ait-Mlouk, F. A. Baali, C. Lhasnaoui
2nd International Conference on Federated Learning and Intelligent Computing Systems (FLICS), Valencia, Spain, pp. 457-461
Chaima Lhasnaoui, Oscar Bergling, Addi Ait-Mlouk, Tarik Agouti
International Conference on Fog and Mobile Edge Computing (FMEC) 2025
C. Lhasnaoui, Addi Ait-Mlouk, T. Agouti, M. Sadgal
2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA), Valencia, Spain
Sadi Alawadi, Addi Ait-Mlouk, Salman Toor, Andreas Hellander
Progress in Artificial Intelligence 2024
Addi Ait-Mlouk, Sadi A. Alawadi, Salman Toor, Andreas Hellander
Applied Sciences 2022, 12, 3130
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Desislava Stoyanova, Ola Spjuth, Salman Toor, Andreas Hellander
2022 IEEE/ACM 22nd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 21-30
Open-source Python library
Multi-criteria decision analysis with 17 ranking methods and weight sensitivity analysis.
6 courses at Skövde
Data mining, data science and programming, plus about 10 master's theses supervised or examined each year.
PhD, master's and industry
Open thesis topics in robust FL, medical imaging, federated LLMs and digital twins.
