Francesco Delli Priscoli


Titolo Pubblicato in Anno
Satellite Integration into 5G: Deep Reinforcement Learning for Network Selection MACHINE INTELLIGENCE RESEARCH 2022
A Parallel Deep Reinforcement Learning Framework for Controlling Industrial Assembly Lines ELECTRONICS 2022
Computer-Based Cognitive Training in Children with Primary Brain Tumours: A Systematic Review CANCERS 2022
Robust and fault-tolerant spacecraft attitude control based on an extended-observer design CONTROL THEORY AND TECHNOLOGY 2022
An integrated music and Artificial Intelligence system in support of pediatric neurorehabilitation HEALTHCARE 2022
An Adaptive Model Averaging Procedure for Federated Learning (AdaFed) JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY 2022
Cognitive deficits in children with brain tumours: A project to create a software for cognitive training Abstracts from the World Congress of Neurology (WCN 2021)JOURNAL OF THE NEUROLOGICAL SCIENCES 2021
Capacity-constrained Wardrop equilibria and application to multi-connectivity in 5G networks JOURNAL OF THE FRANKLIN INSTITUTE 2021
Optimal Control of Plug-In Electric Vehicles Charging for Composition of Frequency Regulation Services ENERGIES 2021
Uav patrolling for wildfire monitoring by a dynamic voronoi tessellation on satellite data DRONES 2021
Hierarchical RL for load balancing and QoS management in multi-access networks 2021 29th Mediterranean Conference on Control and Automation, MED 2021 2021
Efficient and Risk-Aware Control of Electricity Distribution Grids IEEE SYSTEMS JOURNAL 2020
Network Selection in 5G Networks Based on Markov Games and Friend-or-Foe Reinforcement Learning 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) 2020
A security metric for assessing the security level of critical infrastructures INTERNATIONAL JOURNAL OF CRITICAL COMPUTER-BASED SYSTEMS 2020
Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks SENSORS 2020
Traffic Steering and Network Selection in 5G Networks based on Reinforcement Learning 2020 European Control Conference (ECC) 2020
A Decision Support Tool for optimal configuration of Critical Infrastructures INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURES 2020
Lyapunov-based design of a distributed wardrop load-balancing algorithm with application to software-defined networking IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 2019
Robust output regulation for a class of linear differential-algebraic systems IEEE CONTROL SYSTEMS LETTERS 2018
Robust protection scheme against cyber-physical attacks in power systems IET CONTROL THEORY & APPLICATIONS 2018


  • PE7_1


  • Advanced manufacturing & processing
  • Big data & computing
  • Life-science technologies & biotechnologies

Interessi di ricerca

His present research interests concern model based or data driven cogntive control technologies, closed-loop multi-agent learning techniques, resource management with Quality of Service/Experience constraints, big data analytics, Decision Support Systems; application of the above-mentioned  to various fields: health systems, cellular systems, energy systems, critical infrastructures, transport systems.


5G networks
Reinforcement Learning
deep reinforcement learning
deep neural networks
decision support systems
Personalized healthcare
6G networks
big data analytics

Laboratori di ricerca

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma