About
Mustapha Lebbah is an Associate Professor (Maître de Conférences HDR) at Université Sorbonne Paris Nord, affiliated with the Computer Science Laboratory of Paris North (LIPN). As a permanent member of the 'Artificial Learning and Applications' research team, he specializes in developing machine learning systems for processing and visualizing complex, high-dimensional data.
His primary research investigates scalable unsupervised learning methods using distributed computing paradigms like MapReduce. Current work addresses challenges in clustering heterogeneous data types (categorical, binary, sequential) and developing topological models for massive dataset visualization. Research bridges theoretical machine learning with practical applications in data science platforms.
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