Serena Grazia De Benedictis

Short Bio:

Serena Grazia De Benedictis is a Ph.D. student in Department of Mathematics at University of Bari Aldo Moro. She is a member of the MIDAS Research Group, where her current study concentrates on topological data analysis, optimization, computational geometry, machine learning and topological machine learning. She is affiliated with the Gruppo Nazionale per il Calcolo Scientifico (GNCS) and with European Women in Mathematics (EWM). During her Ph.D., Serena carried out a six-month research stay at Pirelli Tyre S.p.A., where she gained significant exposure to international collaboration and industrial research.

Serena holds a Bachelor's Degree in Mathematics and a Master's Degree in Applied Mathematics and Finance Support from University of Bari Aldo Moro. 

List of recent publications:

• Enhanced MRI Brain Tumor Detection and Classification via Topological Data Analysis and Low-Rank Tensor Decomposition.
  S.G. De Benedictis, G. Gargano, G. Settembre. Journal of Computational Mathematics and Data Science, vol. 13 (2024) p.100103.

• Uncovering Lung Lesion Patterns in Computed Tomography Scans through Topological Machine Learning, S. G. De Benedictis, N. Del Buono, 2025 – Accepted to Proceedings of International Conference on Image Analysis and Processing - ICIAP 2025 Workshops. Lecture Notes in Computer Science.

In preparation:

• ImgTML: A Framework for Image-based Topological Machine Learning and its Application to Tyre Noise Prediction, S. G. De Benedictis, N. Del Buono, E. Dilascio, N. Melas, A. Rancati, G. Pece.

Contacts

E-mail: serena.debenedictis@uniba.it
Address: Room 16, Second floor, Dept. of Mathematics, Via E. Orabona, 4, Bari, Italy
Office Tel: +39 080 5443387