MSc A. Natali

PhD student
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Graph-based Signal Processing, Learning over Graphs, (Network) Data Science

Themes: Health and Wellbeing


Alberto Natali obtained his MSc degree in 2019 from the University of Perugia, Italy. On the same year, he joined TU Delft as Ph.D. candidate in the Circuit and Systems group. His research interests include signal processing and machine learning over graphs, network data science and optimization.

EE4530 Applied convex optimization

Applied convex optimization: role of convexity in optimization, convex sets and functions, Canonical convex problems (SDP, LP, QP), second-order methods, first-order methods for large-scale problems.

  1. Online Time-Varying Topology Identification via Prediction-Correction Algorithms
    Alberto Natali; Mario Coutino; Elvin Isufi; Geert Leus;
    In submitted to Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    June 2021.

  2. Forecasting multi-dimensional processes over graphs
    Alberto Natali; Elvin Isufi; Geert Leus;
    In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    Barcelona (Spain), May 2020. DOI: 10.1109/ICASSP40776.2020.9053522

  3. Topology-Aware Joint Graph Filter and Edge Weight Identification for Network Processes
    Alberto Natali; Mario Coutino; Geert Leus;
    In 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP),
    Espoo (Finland), September 2020. DOI: 10.1109/MLSP49062.2020.9231913

  4. Microfabrication of large-area circular high-stress silicon nitride membranes for optomechanical applications
    E. Serra; M. Bawaj; A. Borrielli; G. Di Giuseppe; S. Forte; N. Kralj; N. Malossi; L. Marconi; F. Marin; F. Marino; B. Morana; R. Natali; G. Pandraud; A. Pontin; G. A. Prodi; M. Rossi; P. M. Sarro; D. Vita;
    AIP Advances,
    Volume 6, pp. 065004, 2016.

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Last updated: 16 Aug 2021