Giovanni Paragliola is a Researcher at the Institute for High-Performance Computing and Networking (ICAR) of the Italian National Research Council (CNR), based in Naples, Italy.
Research Interests
His research focuses on the study and development of:
Machine Learning and Deep Learning predictive models for Human Behaviour Analysis
Continuous Learning approaches for the training of deep learning-based models
Reinforcement Learning methods for the training of intelligent agents
Federated Learning techniques to reduce communication costs while preserving data privacy
Key Application Domains
Healthcare and e-Health: AI-empowered systems for risk prevention, patient monitoring, treatment support (including diabetes therapy, hypertension detection, Parkinson’s disease gait analysis, and autism spectrum disorder motion monitoring)
Electric Vehicle Battery Disassembly: development of interfacing toolboxes for robotic arms applied to EV battery disassembly, contributing to circular economy and end-of-life product management
Academic Impact
His work has achieved significant academic recognition, with over 1,150 citations, an h-index of 15, and 23 publications in the i10-index (Google Scholar). He has published in leading journals including Expert Systems with Applications, Artificial Intelligence in Medicine, Journal of Biomedical Informatics, Information Sciences, Future Generation Computer Systems and IEEE Access.
Selected Publications
“Reinforcement learning for intelligent healthcare applications: A survey” – Artificial Intelligence in Medicine (2020) – 439 citations
“Definition of a novel federated learning approach to reduce communication costs” – Expert Systems with Applications (2022) – 62 citations
“Electric vehicle battery disassembly using interfacing toolbox for robotic arms” – Batteries (2024) – 14 citations
Recognition
He has been listed among the World’s Top 2% Scientists in the Stanford University ranking, together with eight other CNR-ICAR researchers.
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