Giovanni Merlino

(Tenure-track) Assistant Professor

Università degli Studi di Palermo

Italy

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About

Giovanni Merlino is a Tenure-track Assistant Professor at Università degli Studi di Messina, Italy. His research focuses on areas such as hybrid learning solutions for COVID-19 classification, security in industrial control systems, and IoT-Fog networks. He has contributed to advancements in drone logistics, deep learning applications, and cybersecurity in renewable energy communities. Professor Merlino's work emphasizes the integration of technology and efficiency in smart city applications and industrial environments.

Articles (16)

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2026

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2020

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ITALY

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Giovanni Merlino

Research Interests

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Articles (16)

HERALD: A Hybrid distributEd leaRning incrementAL & feDerated solution for knowledge distillation in COVID-19 classification

An integration perspective of security, privacy, and resource efficiency in IoT-Fog networks: A comprehensive survey

Securing Modbus in legacy industrial control systems: A decentralized approach using proxies, Post-Quantum Cryptography and Self-Sovereign Identity

Seamless remote roaming activation in LoRaWAN via an API-driven gateway bridge service

Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture

A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities

An NLP-guided ontology development and refinement approach to represent and query visual information

A Resilient Fire Protection System for Software-Defined Factories

A Fog-Based Architecture for Latency-Sensitive Monitoring Applications in Industrial Internet of Things

A Cloud-Based and Dynamic DNS Approach to Enable the Web of Things

Cloud-based Network Virtualization in IoT with OpenStack

Verifiable and auditable authorizations for smart industries and industrial Internet-of-Things

A deep learning approach for pressure ulcer prevention using wearable computing

Design of a Trustless Smart City system: The #SmartME experiment

Optimal Selection Techniques for Cloud Service Providers

Collaborators (7)

Marco Scarpa

Antonio Puliafito

Giacomo Risitano

Salvatore Vitabile

Michele Colajanni

Francesco Longo

Cristiano De Marchis

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