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 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

Conference organization

• ICANN 2022, Program Committee member ↪
• ICANN 2023, Program Committee member ↪
• Temporal Graph Learning Workshop @ NeurIPS 2023, Program Committee member ↪
• RC 2024 Workshop @ ICANN 2024, Organizing Committee member ↪
• 14th IAPR-TC15 International Workshop on Graph-Based Representations in Pattern Recognition (GbR 2025), Program Committee member ↪

Membership

• Vice-Chair of the IEEE Student Branch of Pisa (2023-)
• Institute of Electrical and Electronics Engineers (IEEE), Student member since 2016
• Association for Computing Machinery (ACM), Student member since 2017
• European Neural Network Society (ENNS), Student member since 2022
• CVPL, the Italian chapter of the International Association for Pattern Recognition (IAPR), member since 2024

Contact

Room 308
Department of Computer Science, University of Pisa
Largo B. Pontecorvo, 3, 56127 Pisa, Italy