Carlos Calafate

Full Professor

Polytechnic University of Valencia

Spain

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About

Dr. Carlos Calafate is a Full Professor at the Technical University of Valencia, Spain. His research focuses on areas including intelligent transportation systems, adversarial robustness in neural networks, IoT-based federated learning, and secure solutions for smart urban environments. Recent contributions include advancements in traffic systems and environmental intelligence, as well as innovative approaches to financial planning and blockchain integration in Industry 5.0.

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Collaborators (11)

J. Alberto Conejero

PhD. Full Professor

Universitat Politècnica de València

SPAIN

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Jose-Luis Poza-Lujan

Profesor Contratado Doctor

Universitat Politècnica de València

SPAIN

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Alessandro E. C. Redondi

Associate Professor

Politecnico di Torino

ITALY

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Anna Maria Vegni

Professor of the course "Telecommunication Networks Laboratory"

Università degli Studi di Roma La Sapienza

ITALY

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Michal Kepski

Rzeszów University

POLAND

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Juan Carlos Cano

Professor

Universitat Politècnica de València

SPAIN

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Gemma Roig

Full Professor

Goethe University Frankfurt

GERMANY

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Bouziane Brik

University of Burgundy

FRANCE

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Enrique Hernández-Orallo

Full Professor - Catedrático de Universidad

Universitat Politècnica de València

SPAIN

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Tomasz Krzeszowski

Associate Professor

Rzeszów University

POLAND

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Asma Adnane

Lecturer

Loughborough University

UNITED KINGDOM

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Carlos Calafate

Research Interests

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About

Articles (20)

Improving traffic light systems using Deep Q-networks

Assessing robustness to adversarial attacks in attention-based networks: Case of EEG-based motor imagery classification

A sustainable and trusted solution for IoT-based federated learning using feedback behavior

SMART: A Secure Remote Sensing Solution for Smart Cities’ Urban Areas

Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis

AlLoRa: Empowering environmental intelligence through an advanced LoRa-based IoT solution

A Review of Service Selection Strategies in Mobile IoT Networks

A Scalable Server-Side Solution for the Real-Time Handling of Road Safety Notifications

SecureBlock: An ML-Blockchain Consumer-Centric Sustainable Solution for Industry 5.0

Optimized Financial Planning: Integrating Individual and Cooperative Budgeting Models with LLM Recommendations

Collision‐free cooperative Unmanned Aerial Vehicle protocols for sustainable aerial services

Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques

Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process

Intelligent Sensors for Human Motion Analysis

A LoRa-based protocol for connecting IoT edge computing nodes to provide small-data-based services

AI-Enabled Autonomous Drones for Fast Climate Change Crisis Assessment

Roadside Unit Deployment in Internet of Vehicles Systems: A Survey

Safe and Efficient Take-Off of VTOL UAV Swarms

Improving Air Quality in Urban Recreational Areas through Smart Traffic Management

Improving UAV Mission Quality and Safety through Topographic Awareness

Collaborators (11)

J. Alberto Conejero

Jose-Luis Poza-Lujan

Alessandro E. C. Redondi

Anna Maria Vegni

Michal Kepski

Juan Carlos Cano

Gemma Roig

Bouziane Brik

Enrique Hernández-Orallo

Tomasz Krzeszowski

Asma Adnane

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