Sara Scaramuccia

Research Fellow (RTDa)

University of Rome Tor Vergata, Department of Mathematics



  Computational Topology, Computational Geometry, Topological Data Analysis, Visual Information, Machine Learning


  sara.scaramuccia [at] uniroma2 [dot] it


  +39 067259-4768


  Office 0221, Via della Ricerca Scientifica 1, 00133 Roma, Italy


From 2020 to 2022, I have been a postdoc fellow at the Politecnico di Torino with major interest in computational aspects in persistence module decompositions. I worked in parternship with the SmartData@PoliTO center to develop new methods combining computational topology and machine learning to provide qualitative understanding of data.
From 2019 to 2020, I have been a 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 multiparameter persistent homology invariants
  • multiparameter segmentation of domains via discrete Morse theory

    • Selected Publications

    Persistent Homology: a topological tool for higher-interaction systems

    Vaccarino F., Fugacci U., Scaramuccia S.

    Chapter 3 In Higher-Order Systems, F. Battiston, G. Petri Ed., in ”Understanding Complex Systems” Series, Nature - Springer Verlag (Apr. 2022)

    Parallel decomposition of persistence modules through interval bases

    De Gregorio A., Guerra M., Scaramuccia S., Vaccarino F.

    Preprint arXiv:2106.11884 (Jun. 2021)

    Relative-perfectness of discrete gradient vector fields and multi-parameter persistent homology

    Landi C., Scaramuccia S.

    Journal of Combinatorial Optimization (Apr. 2021)

    Computing multiparameter persistent homology through a discrete Morse-based approach

    Scaramuccia S., Iuricich F., De Floriani L., Landi C.

    Computational Geometry (Aug. 2020)

    Feedback clustering for online travel agencies searches: a case study

    Scaramuccia S., Nanty S., Masseglia F.

    Preprint arXiv:2007.07073 (Jun. 2020)

    A discrete morse-based approach to multivariate data analysis

    Iuricich F., Scaramuccia S., Landi C., De Floriani L.

    In proceedings of SIGGRAPH ASIA 2016 Symposium on Visualization. ACM, New York, NY, USA (Dec. 2016)

    Persistent homology: a step-by-step introduction for newcomers

    Fugacci U., Scaramuccia S., Iuricich F. and De Floriani L.

    In proceedings of the Italian Chapter Conference - Smart Tools and Apps in computer Graphics, Eurographics Association. (Oct. 2016)

    Teaching

    Fall 2022

    Spring 2023, 2024

    Fall 2023

    Fall 2024

    • Didattica 0 Precorso per matricole dei corsi ad accesso libero in Scienze