Domenico Tortorella received the PhD in computer science cum laude from the University of Pisa, Italy, in 2024 for his thesis “Efficient Models for Deep Learning on Graphs” under the supervision of prof. Alessio Micheli. Previously he received the BSc in computer engineering from the University of Salerno, Italy, in 2017, and the MSc in computer science from the University of Pisa, Italy, in 2020, both cum laude. Currently, he is a post-doc research fellow in the Department of Computer Science at the University of Pisa, working for the Future AI Research (FAIR) project, and he is a member of the Computational Intelligence and Machine Learning research group (CIML).

Research topics

• Machine learning for graphs
• Reservoir computing
• Constructive neural networks

Upcoming conferences

• Special Session on Design and Theory of Deep Graph Learning @ IJCNN 2025 ↪
• 3rd International Workshop on Reservoir Computing @ ICANN 2025 ↪
• Special Session on Neural Networks for Graphs and Beyond (NN4G+) @ ICANN 2025 ↪

Recent publications

Analyzing Explanations of Deep Graph Networks through Node Centrality and Connectivity

M. Fontanesi, A. Micheli, M. Podda, D. Tortorella (2025). "Analyzing Explanations of Deep Graph Networks through Node Centrality and Connectivity." Proceedings of the 27th International Conference on Discovery Science (DS 2024), LNCS vol. 15243, pp. 295-309.

Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification

D. Tortorella, A. Micheli (2024). "Continual Learning with Graph Reservoirs: Preliminary experiments in graph classification." Proceedings of the 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024), pp. 35-40.

Onion Echo State Networks: A Preliminary Analysis of Dynamics

D. Tortorella, A. Micheli (2024). "Onion Echo State Networks: A Preliminary Analysis of Dynamics." Proceedings of the 33rd International Conference on Artificial Neural Networks (ICANN 2024), LNCS vol. 15025, pp. 117-128.

Contact

Room 385
Department of Computer Science, University of Pisa
Largo B. Pontecorvo, 3, 56127 Pisa, Italy