Maria Luisa Damiani

Associate Professor

Dipartimento di Informatica
Università degli Studi di Milano
Via Celoria 18, Milano(I)
Phone: +39 02 50316307

Research interests

The spatial and spatiotemporal dimension of data management and analysis:

  • Enriched trajectory data modeling
  • Mobility patterns discovery and spatio-temporal clustering
  • Location privacy in mobile applications
  • Location-based access control in mobile applications
  • Applications in animal ecology, geology, humanities

Recent publications

  • TRAJECTORY DATASET. Synthetic trajectories for the evaluation of stop-and-move detection methods. Replication Data for: Cluster-based trajectory segmentation with local noise.
  • Data Mining and Knowledge Discovery (2018), Springer. Cluster-based trajectory segmentation with local noise. M.L. Damiani, F. Hachem, H. Issa, N. Ranc, P. Moorcroft, F. Cagnacci( pdf)
  • ACM SIGSPATIAL (2018). Periodic stops discovery through density-based trajectory segmentation. Demo. F. Hachem, M.L. Damiani
  • WIREs Data Mining and Knowledge Discovery (2017), Wiley. Segmentation techniques for the summarization of individual mobility data. M.L. Damiani, F.Hachem(pdf)
  • IEEE MDM (2016). Efficient access to temporally overlaying spatial and textual trajectories. H. Issa, M.L. Damiani(pdf)
  • International Journal on Geographical Information Science (2016). Introducing 'presence' and 'stationarity index' to study partial migration patterns: an application of a spatio-temporal clustering technique. M.L. Damiani, H. Issa, G. Fotino, M. Heurich, F. Cagnacci
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