ATANASIOUS, MOHAB MAHDY HELMY
ATANASIOUS, MOHAB MAHDY HELMY
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
A hybrid model predictive control-deep reinforcement learning algorithm with application to plug-in electric vehicles smart charging
2025 Liberati, Francesco; Atanasious, Mohab M. H.; De Santis, Emanuele; Di Giorgio, Alessandro
A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control
2025 Baldisseri, Federico; Atanasious, Mohab M. H.; Becchetti, Valentina; Di Paola, Antonio; Lops, Giada; Menegatti, Danilo; Wrona, Andrea; Mascolo, Saverio; Delli Priscoli, Francesco
A Smart Beehive Energy Management System for Supporting Automatic Varroa Detection
2025 De Santis, Emanuele; Atanasious, Mohab M. H.; Liberati, Francesco; Di Giorgio, Alessandro
An Insurtech Platform to Support Claim Management Through the Automatic Detection and Estimation of Car Damage from Pictures
2024 Atanasious, MOHAB MAHDY HELMY; Becchetti, Valentina; Giuseppi, Alessandro; Pietrabissa, Antonio; Arconzo, Vito; Gorga, Gerardo; Gutierrez, Gonzalo; Omar, Ahmed; Pietrini, Marco; Anvesh Rangisetty, Meher; RICCIARDI CELSI, Lorenzo; Santini, Federico; Scianaro, Enrico
Control of an Energy Storage System for Electric Vehicle Fast Charging: Impact of Configuration Choices and Demand Uncertainty
2021 Di Giorgio, A; Atanasious, Mmh; Guetta, S; Liberati, F
Critical Clearing Time Computation in Power System Transient Stability Analysis: a Physics-Informed Neural Network approach
2025 De Santis, Emanuele; Atanasious, Mohab M. H.; Liberati, Francesco; Di Giorgio, Alessandro
Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization
2024 Atanasious, Mohab M. H.; Becchetti, Valentina; Baldisseri, Federico; Menegatti, Danilo; Wrona, Andrea
Deep Reinforcement Learning-based Automatic Augmentation for Gastrointestinal Disease Classification
2025 Wrona, Andrea; Atanasious, Mohab Mahdy Helmy; Delli Priscoli, Francesco
Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes
2024 Becchetti, Valentina; Atanasious, Mohab M. H.; Menegatti, Danilo; Baldisseri, Federico; Giuseppi, Alessandro
Optimal Energy Management of a Fast Charging Service Station with Physics-Informed Neural Networks
2025 Liberati, Francesco; De Santis, Emanuele; Atanasious, Mohab M. H.; Di Giorgio, Alessandro
Safe Data-Driven Optimal control for type-1 Diabetes
2025 Atanasious, Mohab M. H.; Becchetti, Valentina; Giuseppi, Alessandro
Safe Deep Reinforcement Learning Control of Type 1 Diabetes
2026 Baldisseri, Federico; Lops, Giada; Atanasious, Mohab M. H.; Menegatti, Danilo; Becchetti, Valentina; Delli Priscoli, Francesco; Mascolo, Saverio; Wrona, Andrea
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A hybrid model predictive control-deep reinforcement learning algorithm with application to plug-in electric vehicles smart charging | 2025 | Liberati, Francesco; Atanasious, Mohab M. H.; De Santis, Emanuele; Di Giorgio, Alessandro | |
| A Quantitative Comparison of Deep Reinforcement Learning Algorithms for Type 1 Diabetes Control | 2025 | Baldisseri, Federico; Atanasious, Mohab M. H.; Becchetti, Valentina; Di Paola, Antonio; Lops, Giada; Menegatti, Danilo; Wrona, Andrea; Mascolo, Saverio; Delli Priscoli, Francesco | |
| A Smart Beehive Energy Management System for Supporting Automatic Varroa Detection | 2025 | De Santis, Emanuele; Atanasious, Mohab M. H.; Liberati, Francesco; Di Giorgio, Alessandro | |
| An Insurtech Platform to Support Claim Management Through the Automatic Detection and Estimation of Car Damage from Pictures | 2024 | Atanasious, MOHAB MAHDY HELMY; Becchetti, Valentina; Giuseppi, Alessandro; Pietrabissa, Antonio; Arconzo, Vito; Gorga, Gerardo; Gutierrez, Gonzalo; Omar, Ahmed; Pietrini, Marco; Anvesh Rangisetty, Meher; RICCIARDI CELSI, Lorenzo; Santini, Federico; Scianaro, Enrico | |
| Control of an Energy Storage System for Electric Vehicle Fast Charging: Impact of Configuration Choices and Demand Uncertainty | 2021 | Di Giorgio, A; Atanasious, Mmh; Guetta, S; Liberati, F | |
| Critical Clearing Time Computation in Power System Transient Stability Analysis: a Physics-Informed Neural Network approach | 2025 | De Santis, Emanuele; Atanasious, Mohab M. H.; Liberati, Francesco; Di Giorgio, Alessandro | |
| Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization | 2024 | Atanasious, Mohab M. H.; Becchetti, Valentina; Baldisseri, Federico; Menegatti, Danilo; Wrona, Andrea | |
| Deep Reinforcement Learning-based Automatic Augmentation for Gastrointestinal Disease Classification | 2025 | Wrona, Andrea; Atanasious, Mohab Mahdy Helmy; Delli Priscoli, Francesco | |
| Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes | 2024 | Becchetti, Valentina; Atanasious, Mohab M. H.; Menegatti, Danilo; Baldisseri, Federico; Giuseppi, Alessandro | |
| Optimal Energy Management of a Fast Charging Service Station with Physics-Informed Neural Networks | 2025 | Liberati, Francesco; De Santis, Emanuele; Atanasious, Mohab M. H.; Di Giorgio, Alessandro | |
| Safe Data-Driven Optimal control for type-1 Diabetes | 2025 | Atanasious, Mohab M. H.; Becchetti, Valentina; Giuseppi, Alessandro | |
| Safe Deep Reinforcement Learning Control of Type 1 Diabetes | 2026 | Baldisseri, Federico; Lops, Giada; Atanasious, Mohab M. H.; Menegatti, Danilo; Becchetti, Valentina; Delli Priscoli, Francesco; Mascolo, Saverio; Wrona, Andrea |