1. Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation. Matteo Lissandrini, Martin Brugnara, and Yannis Velegrakis. Proceedings of the Conference on Very Large Databases (PVLDB), 2018.
    Datasets & Code
    pVLDB Reproducibility
  2. Distributed k-core decomposition and maintenance in large dynamic graphs. Sabeur Aridhi, Martin Brugnara, Yannis Velegrakis, and Alberto Montresor. In Proc. of the 10th ACM International Conference on Distributed and Event-Based Systems, DEBS’16. ACM, Irvine, CA, June 2016.
    Datasets & Code

Technical Reports

  1. An Evaluation Methodology and Experimental Comparison of Graph Databases. Matteo Lissandrini, Martin Brugnara, Yannis Velegrakis. DISI Technical Reports - DISI-17-006 — April 30th, 2017.


  1. Automatic analytics and understanding of big datasets for Smart Cities. Advisor: Yannis Velegrakis. MSc thesis University of Trento, Italy, October 2017.
  2. DIP: a dataset and process management system for big data. Advisor: Yannis Velegrakis. BSc thesis University of Trento, Italy, March 2015.


  • 2018 - Merit Grant (Cassa Rurale Lavis - Mezzocorona - Valle di Cembra).
  • 2016 - IEEE Smart Cities Initiative grant (IEEE).
  • 2015 - Research Grant for Recent graduates (UniTN).

Honours and awards

  • 2018 - Best Master student (UniTN).
  • 2017 - Best student (1st ACM Summer School in Europe, ACM)
  • 2016 - Best Bachelor's student (UniTN).
  • 2013 - Winner team of the Random Hacks of Kindness - Trento.