I am an Assistant Professor in the Multimedia Computing Group at Delft University of Technology (TU Delft), The Netherlands. Prior to that, I spent the first six months of 2019 as a Postdoctoral Researcher at The University of Pennsylvania (UPENN) in the department of Electrical and Systems Engineering hosted by Prof. Alejandro Ribeiro. In Jan. 2019 I completed my Ph. D. in the Circuits and Systems Group at TU Delft with Prof. Geert Leus as my advisor. I received the M. Sc. Degree (cum laude) in Telecommunications and Electronic Engineering from The University of Perugia, Italy, in 2014 under the supervision of Prof. Paolo Banelli.
My broad research interests are in fundamental analysis and processing of network data and in learning meaningful representations to better understand their behavior. In particular, I focus on graph signal processing, graph neural networks, graph-time analysis of network dynamics, network systems, and stochastic analysis of graph processes.
- [Pinned] We are organizing EUSIPCO 2020 in Amsterdam and a special session about Learning over Graphs
- [Aug. 2020] Our paper From Graph Filters to Graph Neural Networks has been accepted in IEEE Signal Processing Magazine.
- [August 2020] Our paper Observing and Tracking Bandlimited Graph Processes has been accepted in Elsevier Signal Processing.
- [June 2020] Check out our new paper on Stochastic Graph Neural Networks submitted to IEEE Transactions on Signal Processing
- [May 2020] Three papers accepted at EUSIPCO 2020.
- [May 2020] We gave a tutorial in ICASSP about Graph filters in distributed optimization and neural networks [slides]
- [Feb. 2020] Our paper Graph-time spectral analysis for atrial fibrillation has been accepted in the Elsevier Biomedical Signal Processing and Control.
- [Feb. 2020] Our paper State-Space Network Topology Identification from Partial Observations has been accepted in the IEEE Transactions on Signal and Information Processing over Networks; Special Issue on Network Topology Identification.
- [Jan. 2020] Our work EdgeNets: Edge Varying Graph Neural Networks is now available online.