Giovanni Lonia
PhD Student in AI for Society @ University of Pisa, University of Messina
University of Pisa
University of Messina
Short Bio
Giovanni Lonia is a Ph.D. candidate in Artificial Intelligence for Society at the Università degli Studi di Pisa, within the National Ph.D. Program in Artificial Intelligence (XL cycle). His operative host is the University of Messina. His research explores AI within the Cloud-Edge Continuum, with a particular emphasis on the Healthcare domain.
He has gained extensive experience in the field of Tele-Rehabilitation, actively collaborating with the IRCCS Centro Neurolesi “Bonino-Pulejo” in Messina. His work aims to improve clinical outcomes and foster patient trust in emerging technologies while preserving privacy. He began publishing scientific papers during his tenure as a research fellow on the Tele-Rehabilitation as a Service (TRaaS) project.
Professional Service
He serves as a reviewer for prestigious conferences, including MICCAI and SAC. In 2025, he served as:
- Publicity Chair for ICTS4eHealth 2025
- Technical Program Committee (TPC) member for CVGMMI 2025
See my Google Scholar profile for the full publication list.
- Artificial Intelligence
- Precision Medicine
- Affective Computing
- Internet of Medical Things (IoMT)
- Federated Learning
- Tele-Rehabilitation
- Cloud-Edge Continuum
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Ph.D. in Artificial Intelligence, Present
University of Pisa
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MEng in Engineering and Computer Science, 2022
University of Messina
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BSc in Computer Engineering, 2019
University of Messina
- Bi-View Embedding Fusion A Hybrid Learning Approach for Knowledge Graph's Nodes Classification Addressing Problems with Limited Data. Rosario Napoli, Giovanni Lonia, Antonio Celesti, Massimo Villari, Maria Fazio. arXiv preprint arXiv:2511.13044. (2025)
Journals
- Data Fusion in Tele-Rehabilitation Combining Cognitive and Motor Datasets to Train a Machine Learning Model for Assessing Patients' Outcomes. Giovanni Lonia, Davide Ciraolo, Mirjam Bonanno, Rocco Salvatore Calabrò, Fabrizio Celesti, Maria Fazio, Massimo Villari, Antonio Celesti. (2025)
- Towards Enabling IoT Rejuvenation Through Machine Learning on Cloud/Edge Continuum A Study to Fight the Proximity Sensor Ageing on the Edge. Antonio Celesti, Giovanni Lonia, Antonino Quattrocchi, Roberto Montanini, Massimo Villari, Maria Fazio. (2025)
- Comparing CNN and ViT in both Centralised and Federated Learning Scenarios a Pneumonia Diagnosis Case Study. Giovanni Lonia, Davide Ciraolo, Maria Fazio, Fabrizio Celesti, Paolo Ruggeri, Massimo Villari, Antonio Celesti. (2024)
- Comparing CNNs and ViTs for Medical Image Classification Leveraging Transfer Learning. Giovanni Lonia, Davide Ciraolo, Maria Fazio, Massimo Villari, Antonio Celesti. (2024)
- Leveraging Audio Biomarkers for Enriching the Tele-Monitoring of Patients. Antonio Celesti, Marco Dell’Acqua, Giovanni Lonia, Davide Ciraolo, Fabrizio Celesti, Maria Fazio, Massimo Villari, Mirjam Bonanno, Rocco Salvatore Calabrò. (2024)