I am a PhD Student in Applied Mathematics at Politecnico di Torino, and I work with the Data Science Laboratory of the I.S.I. Foundation.
I am currently working on tensor decomposition and anomaly detection techniques, and their applications on time-varying networks.
January 2014 – graduating in march 2017
PhD in Applied Mathematics
September 2011 – October 2013
Master degree in Mathematical modeling in engineering
Thesis: “Localization and delocalization in chemotactic signalling”
Collaboration with the biologist team of Molecular Biotechnology Center of Turin
October 2012 – March 2013
Internship at IRCCS:“Candiolo Cancer Institute”, Candiolo (To), in the “System Biology” group, with the aim of developing mathematical methods to the study of protein networks and pathways.
September 2008 – December 2011
Bachelor degree in Mathematics in engineering
Thesis: “Evaluation of conduction velocity for endocavitary signal in atrial fibrillation”,
Collaboration with the cardiologist team of “Mauritian Umberto I” hospital of Turin
November 14-17, 2015
ICDM’15: “International Conference on Data Mining”
Atlantic City, NJ, USA
Accepted paper:”Detecting Anomalies in Time-varying Networks using Tensor Decomposition”
IEEE ICDM: “International Workshop on Data Mining in Networks”
September 7-11, 2015
ECML PKDD: “European Conference on Machine Learning and Principle and Practice of Knowledge Discovery in Databases”
Presented Poster: “Anomaly Detection in Temporal Graph Data: an Iterative Tensor Decomposition and Masking Approach”
ECML PKDD Workshop on “Advanced Analytics and Learning on Temporal Data”
June 1-5, 2015
September 22-26, 2014
ECCs’14: “European Conference on Complex Systems”
IMT Lucca, Italy
February 2-4, 2015
Winter School: “Search for Latent Variables: ICA, Tensors, and NMF”
Villard de Lans, Grenoble
September 19-21, 2014
ECCS Warm-up: “II School on Complex Networks”
IMT Lucca, Italy
July 14-18, 2014
Summer School on: “An Interdisciplinary Approach to Tensor Decomposition”
CIRM Trento, Italy
April 7-18, 2014
Les Houches Thematic school on: “Structure and Dynamics of Complex Networks”
École de physique des Houches, France
Sapienza, A., Panisson, A., Wu, J., Gauvin, L., & Cattuto, C. (2015). Detecting Anomalies in Time-varying Networks using Tensor Decomposition. Proceedings of DaMNet 2015, (in press).
Sapienza, A., Panisson, A., Wu, J., Gauvin, L., & Cattuto, C. (2015). Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach. Proceedings of AALTD 2015, 117.