Efficient and scalable algorithms

The AIDA lab @ University of Padova can provide expertize on designing efficient algorithms and analytics for extracting useful information from big data, in particular for mobility data.

In particular, we have been working on algorithms for: modern computing architectures (tensor core, processing in memory, memory hierarchy, parallel platforms,...); pattern mining and learning; temporal, dynamic, and evolving data; unsupervised learning (clustering, diversity).

Contact person: francesco.silvestri@unipd.it https://www.dei.unipd.it/~silvestri/

Group home page: https://aidalabdei.github.io/