Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

dr. A. Natali

Guest
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (Oct 2024): Signal processing and optimization on graphs
Promotor: Geert Leus

Expertise: Graph-based Signal Processing, Learning over Graphs, Optimization

Biography

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 Signal Processing Systems group under the supervision of Prof. Geert Leus. He obtained the PhD degree in October 2024. His research interests include signal processing and machine learning over graphs, algebra and optimization.

Graph Signal Processing in Action

Graph signal processing, Graph topology identification, Graph filtering, Dynamic graphs, Graph learning, Functional ultrasound, Recommender systems

  1. Graph Topology Identification Based on Covariance Matching
    Yongsheng Han; Alberto Natali; Geert Leus;
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2025. DOI: 10.1109/ICASSP49660.2025.10888599
    document

  2. A Generalization of the Convolution Theorem and Its Connections to Non-Stationarity and the Graph Frequency Domain
    Alberto Natali; Geert Leus;
    IEEE Trans. Signal Processing,
    Volume 72, pp. 3424-3437, 2024. DOI: 10.1109/TSP.2024.3423432
    document

  3. Signal processing and optimization on graphs
    A. Natali;
    PhD thesis, TU Delft, Oct. 2024.
    document

  4. Low Noise Opto-Electro-Mechanical Modulator for RF-to-Optical Transduction in Quantum Communications
    Michele Bonaldi; Antonio Borrielli; Giovanni Di Giuseppe; Nicola Malossi; Bruno Morana; Riccardo Natali; Paolo Piergentili; Pasqualina Maria Sarro; Enrico Serra; David Vitali;
    Entropy,
    Volume 25, Issue 7, 2023. DOI: 10.3390/e25071087

  5. Forecasting Graph Signals with Recursive MIMO Graph Filters
    Jelmer van der Hoeven; Alberto Natali; Geert Leus;
    In 31st European Signal Processing Conference (EUSIPCO),
    pp. 1843-1847, 2023. DOI: 10.23919/EUSIPCO58844.2023.10289997
    document

  6. Blind Polynomial Regression
    Alberto Natali; Geert Leus;
    In 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 1-5, 2023. DOI: 10.1109/ICASSP49357.2023.10095361
    document

  7. Learning Time-Varying Graphs From Online Data
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    IEEE Open Journal of Signal Processing,
    Volume 3, pp. 212--228, 2022. DOI: 10.1109/OJSP.2022.3178901

  8. A General Convolution Theorem for Graph Data
    Alberto Natali; Geert Leus;
    In 56th Asilomar Conference on Signals, Systems, and Computers,
    pp. 48-52, 2022. DOI: 10.1109/IEEECONF56349.2022.10052018
    document

  9. Online Graph Learning From Time-Varying Structural Equation Models
    Natali, A.; Isufi, E.; Coutino, M.; Leus, G.;
    In Proc. of Asilomar Conference on Signals, Systems, and Computers (Asilomar),
    Monterey, California, USA, pp. 1579--1585, October 2021. DOI: 10.1109/IEEECONF53345.2021.9723163

  10. Online Time-Varying Topology Identification Via Prediction-Correction Algorithms
    Natali, A.; Coutino, M.; Isufi, E.; Leus, G.;
    In Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Rio de Janeiro, Brazil, pp. 5400--5404, July 2021. DOI: 10.1109/ICASSP39728.2021.9415053

  11. 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
    document

  12. 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
    document

  13. 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: 10 Jul 2026

Alberto Natali

Alumnus