Addi Ait-Mlouk

Addi Ait-Mlouk is a Senior Lecturer in Informatics at the School of Informatics, University of Skövde. He holds a prominent role as a Course Coordinator for multiple Master's level courses, contributing to advanced education in informatics and technology. His research focuses on machine learning applications in federated learning, privacy-preserving technologies, and industrial automation. Current projects include ProcTwin, a digital tool development initiative for optimizing steel production processes through machine learning and sensor data integration (2025–2028).

Key research interests span federated learning for healthcare diagnostics, edge computing optimization, and privacy-enhanced AI systems. His 2024 publications highlight advancements in federated learning for leukemia diagnosis and brain tumor classification, emphasizing ethical AI integration. Earlier work includes contributions to data mining methodologies for road safety and smart grid security.

Collaborations involve industry partners like ABB, RISE, and ShiftLabs, focusing on additive manufacturing and industrial digital transformation. Addi actively participates in academic events such as the Sweden Game Conference and INGENIUM European University initiatives, promoting interdisciplinary innovation.