Addi Ait-Mlouk is currently a Postdoc Researcher at the Department of Computing Science, Uppsala University, Sweden. His research interests include Federated Learning, machine learning, Data mining, information retrieval, and natural language processing. He has collaborated actively with researchers in several disciplines, particularly sensor networks, smart grids, VANETs, and medical technologies. He has served as a member of conferences and workshop program committees as well as a reviewer for many journals and conferences (ICDM, ECIR, ECML-PKDD,...).

Addi was a Postdoctoral Researcher (2018-2020) at the Department of Computing Science at Umeå University, Umeå, Sweden. He was working with Lili Jiang on a WASP project focused on Privacy-aware Data Federation on Heterogeneous Registry Data. He has been dedicating to address academic challenges motivated by real applications by applying state-of-the-art techniques and exploring novel solutions. Besides, Addi Ait-Mlouk undertook his doctoral studies in Data mining at the University of Cadi Ayyad under the supervision of Pr. Tarik Agouti.

He is actively engaged in research on various aspects of Information technologies ranging from federated learning to Artificial Intelligence especially on the following topics:

• Federated Learning
• Machine learning/ Deep Learning/ NLP
• Data Mining/ Information Retrieval
• Big Data/ Cloud computing
• Social Network Analysis
• Knowledge Graph and Knowledge representation
• Semantic Web