Domenico Tortorella

Domenico Tortorella is an Assistant Professor (RTD-A) in the Department of Computer Science at the University of Pisa, Italy. He earned a PhD in Computer Science (cum laude) in 2024, an MSc in Computer Science (cum laude) in 2020, and a BSc in Computer Engineering (cum laude) in 2017. His research focuses on graph neural networks, reservoir computing, and deep learning on graphs, particularly addressing challenges like heterophily, over-squashing, and structural encoding. He contributes to conferences such as ICANN, ESANN, and NeurIPS, and is part of the Computational Intelligence and Machine Learning (CIML) research group.

Research Trends: His recent publications emphasize

• Graph topology encoding (e.g., Randomized Ising Models)
• Efficiency in graph kernels and neural networks
• Explainable AI for deep graph models
• Stability analysis in echo state networks
• Handling heterophilic graphs via reservoir computing
• Temporal resolution in recurrent architectures

Grants & Service: He received funding from the Future AI Research (FAIR) project (2024–2025) and served on program committees for ICANN, NeurIPS workshops, and GbRPR. He was Vice-Chair of the IEEE Student Branch of Pisa (2023–2024) and holds memberships in IEEE, ACM, ENNS, and IAPR's CVPL.