Danilo Menegatti
assegnista di ricerca
stanza:
A215
telefono:
+39 0677274034
Biografia
Danilo Menegatti gratuated with honours from Sapienza University of Rome in 2020 with a M.Sc in Control Engineering and in 2024 with a Ph.D in Automatica. He works as a research fellow at the Department of Computer, Control and Management Engineering "Antonio Ruberti" and collaborates with the non-profit research consortium CRAT.
He has been involved in 5 EU and national funded research projects since 2021, and has collaborated with numeorus organisations, such as Technip Energies N.V., Istituto Superiore di Sanità (ISS), and Ospedale Pediatrico Bambino Gesù.
His main research activities involve intelligent systems, distributed learning and reinforcement learning.
Lecturer:
- Fondamenti di Automatica I (website)
Assistant lecturer:
- Intelligent and Hybrid Control (website)
- Control of Communication and Energy Networks (website)
- Control of Autonomous Multi-Agent Systems (website)
- Controlli Automatici (website)
- Fondamenti di Automatica (website)
menegatti(at)diag.uniroma1.it
Full publication list: Google Scholar
Membro di
Ultime pubblicazioni
| Deep Reinforcement Learning Control of Type-1 Diabetes with Cross-Patient Generalization in Proceedings of 2024 32nd Mediterranean Conference on Control and Automation (MED) | 2024 |
| Dynamic Mode Decomposition for Individualized Model Predictive Control with Application to Type 1 Diabetes in Proceedings of 2024 32nd Mediterranean Conference on Control and Automation (MED) | 2024 |
| A Discrete-Time Multi-Hop Consensus Protocol for Decentralized Federated Learning in IEEE ACCESS | 2023 |
| Behavioural Cloning for Serious Games in Support of Pediatric Neurorehabilitation in 2023 31st Mediterranean Conference on Control and Automation (MED) - Proceedings | 2023 |
| CADUCEO: A Platform to Support Federated Healthcare Facilities through Artificial Intelligence in HEALTHCARE | 2023 |
| Deep Image Inpainting to Support Endoscopic Procedures in Deep Image Inpainting to Support Endoscopic Procedures | 2023 |
| Deep Neural Network Regression to Assist Non-Invasive Diagnosis of Portal Hypertension in HEALTHCARE | 2023 |