2. Topics to be covered (Not limited to)

Section I: Fundamentals and State of the Art

• Generative AI in Edge Computing of IoT Systems – Foundations, Key Concepts & Interconnections

• Secure Decentralised Intelligence and Edgewise Blockchain

• Sustainable Edge AI: Problems and Design Strategies

• Edge Reliability Engineering: Generalising SRE to Generative AI Workloads

• Hardware-Conscious Deployment of Generative Models: Reference Architectures for Edge AI Systems

• Edge–Cloud Continuum for Generative AI: Architectures, Trade-offs, and Design Principles

• 7. Data-Centric AI at the Edge: Quality, Provenance, and Trustworthiness in IoT Systems

Section II: Research Trends and Hot Topics

•  Applications of Generative AI in Edge–IoT (augmentation, anomaly detection, synthetic data, agents)

• Edge Systems Deployment, Observability and SLA Alignment

• Generative Model Lifecycle Management in Edge Environments (versioning, updates, drift, autoretraining)

• Tiny Generative AI on Microcontrollers: Challenges and Methods (TinyML, TFLM, quantisation, pruning)

• Decentralised Federated Generative Learning (FedAvg, FedGAN, privacy)

• Energy-Aware Training and Inference for Generative Models in Edge Environments

• Explainable and Trustworthy Generative AI for Edge-Based Decision Systems

Section III: Business Use Cases and Applications

• Retail IoT – Personalised Experience Generation at the Edge

• Smart Farming and Aquaculture – Low-Power Generative Inference

• Insurance IoT – Synthetic Data Generation and Risk Analysis

• Industrial Automation – Predictive Maintenance and Quality Control

• Defence and Border Security – Real-Time Surveillance and Threat Simulation

• Emergency Care and Telemedicine – Edge AI Portable Diagnostics

• Smart Cities, Climate and Environmental Monitoring – Forecasting and Disaster Prediction

• Renewable Energy and Grid Optimisation – Solar/Wind Prediction and Battery Management

• Mobility and Smart Transport – Traffic Flow and Routing Optimisation

• Future Trends and Emerging Technologies (neuromorphic, 6G IoT, green AI)

• Smart Retail and Supply Chains – Demand Forecasting and Inventory Optimization at the Edge

• Construction and Smart Infrastructure – Edge AI for Structural Health Monitoring

• Water Resource Management – Edge-Based Generative Forecasting and Leakage Detection

• Precision Manufacturing – Digital Twins and Generative Quality Optimization

• Public Safety and Disaster Response – Edge Intelligence for Early Warning Systems

• Education and Smart Campuses – Personalized Learning and Resource Optimization Using Edge AI