| 2025 | CoDIT | A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control. | Federico Baldisseri, Mohab M. H. Atanasious, Valentina Becchetti, Antonio Di Paola, Giada Lops, Danilo Menegatti, Andrea Wrona, Saverio Mascolo, Francesco Delli Priscoli |
| 2025 | CoDIT | Dynamic Mode Decomposition (DMD) for Enhanced Epileptic Seizure Prediction from EEG Signals. | Danilo Menegatti, Camilla Bianchi, Filippo Federiconi, Alessandro Giuseppi |
| 2025 | CoDIT | Reinforcement Learning for Enhanced Path Tracking in Autonomous Vehicles: A Formula SAE Skid-Test Validation. | Danilo Menegatti, Francesco Luzi, Francesco Pappalardo, Antonio Pietrabissa, Alessandro Giuseppi |
| 2025 | CoDIT | Control of Steering and Brake Actuator Dynamics in Driverless Vehicles: A Real-World Formula SAE Skid-Test Scenario. | Danilo Menegatti, Francesco Pappalardo, Francesco Luzi, Alessandro Giuseppi |
| 2025 | CoDIT | Data-Driven Image Resolution and Uplink Power Control for Mobile Augmented Reality Applications. | Andrea Wrona, Danilo Menegatti, Emanuele De Santis, Andrea Tortorelli |
| 2024 | CRITIS | AdaLightLog: Enhancing Application Logs Anomaly Detection via Adaptive Federating Learning. | Danilo Menegatti, Emanuele De Santis, Stefano Felli, Alessandro Giuseppi |