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,...);

• analytics for time series and trajectories, with a focus on human mobility data

• machine learning, in particular unsupervised learning, similarity search, pattern mining.

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

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