Giancarlo Fortino

Full Professor

University of Calabria

Italy

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About

Giancarlo Fortino is a Full Professor at the University of Calabria, Italy. His research interests encompass various domains including generative AI in education, green federated learning, and collaborative task offloading in vehicular networks. He has contributed to the understanding of AI and IoT integration, robotic systems, and intelligent control architectures, reflecting a commitment to advancing technology in various applications.

Articles (20)

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2023

Collaborators (6)

David Kaber

Professor and Chair

University of Florida

UNITED STATES

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Stefano Izzo

University of Naples Federico II

ITALY

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shweta dabetwar

Assistant professor

University of Arkansas System

UNITED STATES

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Zhihan Lyu

Uppsala University

SWEDEN

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Giuseppe M. L. Sarnè

University of Milano-Bicocca

ITALY

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Pasquale Pace

Assistant Professor

University of Calabria

ITALY

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Giancarlo Fortino

Research Interests

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About

Articles (20)

An Efficient Collaborative Task Offloading Approach Based on Multi-Objective Algorithm in MEC-Assisted Vehicular Networks

Recurrent Flash Reinforcement Learning for Dynamic Spectrum Access and Power Control

A Meta-Survey of Generative AI in Education: Trends, Challenges, and Research Directions

Green Federated Learning: A New Era of Green Aware AI

A Review of AIoT-Based Human Activity Recognition: From Application to Technique

LLM Fine-Tuning: Concepts, Opportunities, and Challenges

Quadruped Robots: Bridging Mechanical Design, Control, and Applications

An Intelligent Multi-Layer Control Architecture for Logistics Operations of Autonomous Vehicles in Manufacturing Systems

Embedded Edge Intelligence and Flexible Dual-Modal Sensor Systems for Robotic Electronic Skin

FPGA-Based System Implementation of IEEE 1588 Precision Time Protocol: A Review

Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review

Editorial Special Section on Featured Research From the 2nd International Conference on Human-Machine Systems

Trust in Edge-based Internet of Things Architectures: State of the Art and Research Challenges

A Social Edge-Based IoT Framework Using Reputation-Based Clustering for Enhancing Competitiveness

Behavioral Modeling and Prediction in Social Perception and Computing: A Survey

Disclosing Edge Intelligence: A Systematic Meta-Survey

At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives

Statistics-Physics-Based Interpretation of the Classification Reliability of Convolutional Neural Networks in Industrial Automation Domain

A TinyML Deep Learning Approach for Indoor Tracking of Assets

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm

Collaborators (6)

David Kaber

Stefano Izzo

shweta dabetwar

Zhihan Lyu

Giuseppe M. L. Sarnè

Pasquale Pace

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