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 an assistant professor (RTD-A) in the Department of Computer Science at the University of Pisa, 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

An Empirical Investigation of Shortcuts in Graph Learning

D. Tortorella, M. Fontanesi, A. Micheli, M. Podda (2025). "An Empirical Investigation of Shortcuts in Graph Learning." Graph-Based Representations in Pattern Recognition. GbRPR 2025. LNCS vol. 15727, pp. 147-156.

An Empirical Evaluation of Rewiring Approaches in Graph Neural Networks

A. Micheli, D. Tortorella (2025). "An Empirical Evaluation of Rewiring Approaches in Graph Neural Networks." Pattern Recognition Letters, in press.

Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach

A. Dipalma, D. Tortorella, A. Micheli (2025). "Robustness in Protein-Protein Interaction Networks: A Link Prediction Approach." Proceedings of the 33rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2025), pp. 277-282.

Contact

Room 330
Department of Computer Science, University of Pisa
Largo B. Pontecorvo, 3, 56127 Pisa, Italy