SARA SCARAMUCCIA

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Research Assistant
Adjunct Professor (Ateneo)

My current project is mainly rooted in topological data analysis - TDA - thus aiming at developing new methods in computational topology to provide qualitative understanding of data.

The project is developed in partnership with the Department of Mathematical Sciences of the Politecnico di Torino and with the SmartData@PoliTO center. The latter is deeply involved into thorough applications of TDA to several industrial problems, e.g. anomaly detection in mechanical and civil engineering, smart building modeling and simulation, analysis of system of fractures coming from geophysics.

My role is that of exploiting algebraic topology tools in combination with learning theory.

From 2019 to 2020, I have been postdoc fellow at the Université de la Côte d’Azur. My project was in parternship with Amadeus SA and it consisted in developing new clustering algorithms guided by user feedbacks, to optimize clustering quality in the specific domain of flight recommendations by means of Active Learning techniques.

In 2018, I got my PhD in Computer Science at University of Genova, Italy.

The project was focused on computational methods and data structures for Topological Data Analysis:

optimized algorithms for the retrieval of multidimensional persistent homology invariants;

multidimensional segmentation of domains via discrete Morse theory

Scientific branch MAT/03 - GEOMETRIA
(Area 0001 - Scienze matematiche e informatiche)
Identifiers ORCID: 0000-0003-4010-6507
Scopus Author ID: 57192591650
Google Scholar ID: 8_sdwksAAAAJ&hl=it
ResearchGate ID: https://www.researchgate.net/profile/Sara-Scaramuccia
Skills and keywords

ERC sectors

PE1_15 - Discrete mathematics and combinatorics PE1_5 - Geometry PE1_16 - Mathematical aspects of computer science PE1_14 - Statistics PE1_6 - Topology

Keywords

Active learning Clustering Laplacian eigenvalues Morse theory Topological data analysis