Andrea Caruso

University of Catania, Department of Electrical, Electronics and Computer Engineering (DIEEI), Graduate Student

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Andrea Caruso was born in Catania, Italy, in 1990.
He received the Bachelor Degree in Computer Science in 2014 and the Master Degree in Computer Science in 2016, both summa cum laude, at the University of Catania.
He attended the First Level Master in Multimedia teaching and education methodologies for active learning at eCampus University in 2019.
He is officially qualified to teach in the Italian Secondary School since he has won the public competition (government recruitment procedure) for A041 "Computer Science" class in 2021.
He collaborated with Department of Electrical, Electronic and Computer Engineering of the University of Catania and with the Department of Computer Science of the University of Verona through research grants, carrying out research on development of hardware/software technological aids for people with visual impairments, development of advanced algorithms for the integration of heterogeneous data, development of 5G network slice for IoT applications with low latency requirements.
From 2017 to 2021 he worked as Project Manager/Developer for vEyes non-profit organization, carrying out projects to support visually impaired people and developing Artificial Intelligence systems in medical field.
He is now attending his PhD in the Department of Electrical, Electronic and Computer Engineering of the University of Catania.
He also worked as chief of technical area for Business Destination S.r.l., managing several e-commerce websistes, mailing systems, social networks profiles and taking part in international fairs (Hong Kong, Shenzhen, Guangzhou).
Supervisors: Giovanni Schembra, Christian Grasso, and Massimiliano Salfi

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FALCON: Fanet-Aware Learning and digital twin CONtrol framework

Computer Communications - Special Issue "From Cloud to Edge: Digital Twin Orchestration and Development in the 6G Era" - Volume 251, 2026

The rapid evolution of telecommunication networks is leading to increasingly complex systems, req... more The rapid evolution of telecommunication networks is leading to increasingly complex systems, requiring adaptive, flexible, and intelligent mechanisms for resource management, orchestration, and access control. In this context, the Network Digital Twin (NDT) paradigm emerges as a powerful tool to model the behavior of devices, communication links, operating environments, and applications in complex networks. This paper introduces FALCON, a Digital-Twin-based orchestration framework designed to optimize horizontal offloading in UAV-based Flying Ad Hoc Networks (FANETs) providing edge computing services to ground devices in remote areas. FALCON integrates multiple Smart Agents (DQN, A2C, PPO) running concurrently on the Digital Twin to dynamically determine the optimal offloading probabilities. A proof-of-concept demonstrates how the framework performs real-time What-if Scenario analyses and adapts to varying workload and channel conditions. Numerical results highlight the gains achieved through coordinated model selection and reuse, showing reduced end-to-end delay and faster convergence compared to standalone DRL-based controllers. $ This article is part of a Special issue entitled: 'DT Orchestration' published in Computer Communications.

Andrea Caruso

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