Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation.Matteo Lissandrini, Martin Brugnara, and Yannis Velegrakis.Proceedings of the Conference on Very Large Databases (PVLDB), 2018.
PDF Datasets & Code pVLDB Reproducibility
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.
PDF Datasets & Code
An Evaluation Methodology and Experimental Comparison of Graph Databases.Matteo Lissandrini, Martin Brugnara, Yannis Velegrakis.DISI Technical Reports - DISI-17-006 — April 30th, 2017.
Automatic analytics and understanding of big datasets for Smart Cities.Advisor: Yannis Velegrakis.MSc thesis University of Trento, Italy, October 2017.
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
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.