Amine Mhedhbi

Chair in Multimodal Data Engineering 2025-2030

Amine Mhedhbi is an assistant professor at Polytechnique Montréal, where he leads the laboratory of Data & AI Systems (DAIS). His interests are in building and analyzing analytical data systems. His work includes tackling performance considerations, robustness, and interface design. Amine received his PhD in 2023 from the University of Waterloo. His research has been awarded a VLDB Best Paper Award, a Microsoft PhD Fellowship Award, and the Distinguished Dissertation Award of Computer Science at the University of Waterloo.

Despite sustained Canadian investments in databases and data science, amounting to tens of billions of dollars annually, organizations continue to face significant challenges in querying and integrating information across structured datasets (e.g., financial ledgers, health records) and unstructured data sources (e.g., legal documents and satellite images). The Multimodal Data Engineering Chair will advance the foundations and systems required for intelligent multimodal data querying. The program will rethink core data management system components for multimodal data, including: (i) optimizing interleaved analytics, search, and semantic analysis; (ii) adapting execution to heterogeneous hardware platforms and resource-constrained devices; and (iii) developing query optimization and costing strategies for accuracy-performance trade-offs.