Dr. Addi Ait-Mlouk is an Associate Professor (Docent) of Artificial Intelligence and Data Science at the School of Informatics, University of Skövde, Sweden. He served as the Director of the Data Science Master’s Programme (2023–2024), showcasing his leadership in shaping AI education and mentoring the next generation of data scientists. Before joining the University of Skövde, Addi was a Postdoctoral Researcher at Uppsala University (2020–2022), where he worked on a Scalable Federated Learning project at the Department of Information Technology, Division of Scientific Computing. Prior to that, he was a Postdoctoral Researcher at Umeå University (2018–2020), contributing to a WASP project on Privacy-Aware Data Federation for heterogeneous registry data. His research focuses on solving real-world challenges through cutting-edge AI and data science techniques. His expertise spans Federated Learning, Machine Learning, Data Mining, Information Retrieval, Conversational AI, Open Linked Data, Knowledge Graphs, and Natural Language Processing.
Dr. Addi Ait-Mlouk is an Associate Professor (Docent) of Artificial Intelligence and Data Science at the School of Informatics, University of Skövde, Sweden. He served as the Director of the Data Science Master’s Programme (2023–2024), showcasing his leadership in shaping AI education and mentoring the next generation of data scientists. Before joining the University of Skövde, Addi was a Postdoctoral Researcher at Uppsala University (2020–2022), where he worked on a Scalable Federated Learning project at the Department of Information Technology, Division of Scientific Computing. Prior to that, he was a Postdoctoral Researcher at Umeå University (2018–2020), contributing to a WASP project on Privacy-Aware Data Federation for heterogeneous registry data. His research focuses on solving real-world challenges through cutting-edge AI and data science techniques. His expertise spans Federated Learning, Machine Learning, Data Mining, Information Retrieval, Conversational AI, Open Linked Data, Knowledge Graphs, and Natural Language Processing.