Signal Processing Systems
Dept. of Microelectronics

dr. A. Natali

Guest
Signal Processing Systems (SPS), Department of Microelectronics

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

Themes: Graph Signal Processing

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. 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. 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

  2. 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

  3. 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

  4. 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

  5. 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

BibTeX support

Last updated: 30 Oct 2024

Alberto Natali