Guest Editors
Prof. Fernando De la Prieta Pintado
Email: fer@usal.es
Affiliation: BISITE Research Group, University of Salamanca, Salamanca, Spain
Homepage:
Research Interests: multi-agent systems, artificial intelligence, computers science
Dr. Carolina Zato Domínguez
Email: carol_zato@usal.es
Affiliation: BISITE Research Group, University of Salamanca, Salamanca, Spain
Homepage:
Research Interests: artificial intelligence, computers science
Dr. Juan Manuel Núñez Velasco
Email: jmnunez@usal.es
Affiliation: BISITE Research Group, University of Salamanca, Salamanca, Spain
Homepage:
Research Interests: edge AI, IoT, artificial intelligence
Dr. Manuel Rodrigues
Email: manuel.rodrigues@algoritmi.uminho.pt
Affiliation: ALGORITMI Research Centre/LASI, University of Minho, Braga, Portugal
Homepage:
Research Interests: intelligent systems, artificial intelligence
Prof. Nasro Min-Allah
Email: nabdullatief@iau.edu.sa
Affiliation: Department of Computer Science, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Homepage:
Research Interests: real-time systems, cloud computing, smart systems
Summary
The rapid evolution of Internet of Things (IoT) ecosystems has led to an unprecedented growth of distributed data generation, requiring intelligent processing capabilities closer to the data sources. Edge Artificial Intelligence (Edge AI) has emerged as a key paradigm to address latency, privacy, and scalability challenges inherent in centralized cloud-based systems.
This Special Issue aims to explore recent advances, challenges, and applications of Edge AI and intelligent systems within IoT environments. It seeks to bring together researchers and practitioners working on innovative methodologies, architectures, and real-world deployments that enable efficient, secure, and scalable intelligent processing at the network edge. The scope includes both theoretical contributions and practical implementations across diverse domains such as smart cities, industry 4.0, healthcare, and environmental monitoring.
Suggested themes include (but are not limited to):
· Edge AI architectures and frameworks
· Distributed and federated learning in IoT
· Multi-agent systems for edge intelligence
· Energy-efficient AI for embedded and edge devices
· Security, privacy, and trust in Edge AI
· Real-world applications (smart agriculture, smart cities, Industry 4.0)
· Integration of AI with 5G/6G and edge-cloud continuum
Keywords
edge AI, Internet of Things (IoT), intelligent systems, distributed AI, multi-agent systems, federated learning, smart environments, edge computing, industry 4.0, data-driven systems
Login
Register
Submit a Paper
Propose a Special lssue