Special Session
					
    
    Special Session on 
Artificial Intelligence for Emerging IoT Systems: Towards Trustworthy, Scalable, and Domain-Aware Intelligence -
                AI4EIoT
    2026
    21 - 23 May, 2026 - Benidorm, Spain
    
    
    Within the 11th International Conference on Internet of Things, Big Data and Security - IoTBDS 2026
    
    
    
    
    
     
    CO-CHAIRS
        
            
                
                    
                           
                        
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                            Lelio Campanile
                        
                        
                         
                        Department of Mathematics and Physics, Universita degli Studi della Campania "Luigi Vanvitelli"
                         
                        
                        
                        Italy
                         
                        https://www.matfis.unicampania.it/dipartimento/docenti?MATRICOLA=059102
                         
                        
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                            Brief Bio 
                            He is an Assistant Professor (RTDa) at the Department of Mathematics and Physics, Università della Campania “L. Vanvitelli.” His research focuses on the modeling of complex computer-based systems, Wireless Sensor Networks, and Cyber-Physical Systems, with a particular emphasis on Machine Learning, Deep Learning, and eXplainable Artificial Intelligence. He has published extensively in peer-reviewed journals, conferences, and book chapters. He actively contributes to the scientific community as a reviewer, committee member, and session chair for international conferences and journals.
                         
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                            Fiammetta Marulli
                        
                        
                         
                        Università degli Studi della Campania “Luigi Vanvitelli”
                         
                        
                        
                        Italy
                         
                        https://www.matfis.unicampania.it/dipartimento/docenti?MATRICOLA=057175
                         
                        
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                            Brief Bio 
                            She is an accomplished Assistant Professor and researcher in the field of Computer Science at the Università della Campania “L. Vanvitelli”. She specializes in areas such as distributed systems, cloud computing, and cybersecurity. With a strong academic background and a passion for advancing technology, she specializes in areas such as distributed systems, cloud computing, and cybersecurity. Her research focuses on developing innovative solutions to complex computational problems, often with applications in real-world scenarios. She has contributed to numerous peer-reviewed publications and participates in international conferences, where she shares her expertise and stays at the forefront of emerging trends in computer science.
                         
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        SCOPE
    
     
    
    
        The Internet of Things (IoT) is evolving into a pervasive, intelligent, and interconnected ecosystem where data-driven AI enables adaptive, secure, and sustainable decision-making. Artificial Intelligence — including Deep Learning, Explainable and Trustworthy AI, and more recently Large Language Models (LLMs) — is transforming the design and operation of IoT and Cyber-Physical Systems (CPS), enabling distributed intelligence at the edge, in the cloud, and across hybrid environments.
 
 This special session aims to explore emerging challenges, opportunities, and methodologies at the intersection of AI and IoT, focusing on trustworthiness, scalability, sustainability, and cross-domain applicability. Particular attention is given to federated and edge learning, energy-efficient AI, XAI, and the role of LLMs and Generative AI in making IoT systems more adaptive, explainable, and capable of simulating real-world processes. We also encourage submissions from industrial, civil, and process engineering domains, where AI-enhanced IoT is revolutionizing monitoring, control, and predictive maintenance.
    
 
    
    
        TOPICS OF INTEREST
    
    
    
        Topics of interest include, but are not limited to:
        
        
                
                
                
                
                    AREA 1: CORE AI–IOT INTEGRATION
                
                
                
                    
                            - Distributed, Federated, and Continual Learning for IoT Systems
                            
 
                        
                            - Edge AI and TinyML for Real-time and Energy-efficient Intelligence
                            
 
                        
                            - AI-driven Security, Privacy, and Resilience in IoT Networks
                            
 
                        
                            - Digital Twins and Predictive Maintenance for Smart Environments
                            
 
                        
                            - AI–IoT Integration for Environmental and Urban Sustainability
                            
 
                        
                
            
                
                
                
                
                    AREA 2: EMERGING AI PARADIGMS
                
                
                
                    
                            - Explainable and Trustworthy AI in IoT and CPS
                            
 
                        
                            - Large Language Models for Real-world IoT and Multimodal Environments
                            
 
                        
                            - Generative AI for Simulation, Synthetic Data, and System Optimization
                            
 
                        
                            - Graph Neural Networks for Complex System Modeling
                            
 
                        
                            - Reinforcement Learning for Adaptive and Autonomous IoT Agents
                            
 
                        
                
            
                
                
                
                
                    AREA 3: CROSS-DOMAIN AND APPLIED INTELLIGENCE
                
                
                
                    
                            - AI and IoT in Smart Cities, Civil Engineering, and Environmental Monitoring
                            
 
                        
                            - AI and IoT for Industrial, Process, and Chemical Engineering
                            
 
                        
                            - Human-centered and Emotion-aware IoT Applications
                            
 
                        
                            - Integration of AI, IoT, and Blockchain for Secure Ecosystems
                            
 
                        
                            - Energy-aware AI and Sustainable IoT Infrastructures
                            
 
                        
                
            
     
 
IMPORTANT DATES
  
    
            Paper Submission: 
            March 24, 2026
            
            
            
            Authors Notification: 
            April 7, 2026
            
            
            
            Camera Ready and Registration: 
            April 15, 2026
            
            
    
    
 
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
 
 
    PAPER SUBMISSION
    
        Prospective authors are invited to submit papers in any of the topics listed above.
            Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
                Please also check the Guidelines.
                    Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
    
 
    
PUBLICATIONS
    After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference - and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.