12th IEEE International Conference on Smart Data (SmartData 2026)

The 12th IEEE International Conference on Smart Data (SmartData 2026) advances smart data technologies, artificial intelligence, secure analytics, and intelligent data-driven systems across cloud, IoT, cybersecurity, and real-world applications.

Key topics

• Machine learning and AI algorithms
  • Generative AI and large language models
  • Explainable AI and interpretable models
  • Federated and collaborative learning
  • Graph neural networks and multimodal AI
  • Reinforcement learning and decision-making systems
• Smart data infrastructure and systems
  • Cloud, edge, and fog computing
  • Real-time data streaming and processing
  • Green and energy-efficient data computing
  • Serverless and microservices architectures
  • 6G-enabled smart data infrastructure
• AI-driven analytics and cybersecurity
  • Privacy-preserving analytics and secure systems
  • Threat intelligence and AI cybersecurity
  • Anomaly and intrusion detection
  • Behavioral analytics and network science
  • LLM-based vulnerability analysis
• Data governance, ethics, and foundations
  • AI ethics, fairness, and transparency
  • Data lineage, provenance, and trust
  • Modern governance frameworks and compliance
  • Blockchain for smart data management
  • Data quality, integration, and privacy protection
• Smart data applications
  • Digital twins and simulation-driven analytics
  • Smart city and urban computing solutions
  • Autonomous vehicles and intelligent systems
  • Data marketplaces and data-as-a-service platforms
  • Societal and ethical impacts of smart data
• Smart data in IoT
  • Edge AI and TinyML for IoT devices
  • IoT security, privacy, and sensing technologies
  • Mobile data collection and analytics
  • IoT protocols and interoperability standards
  • Learning-based optimization for IoT networks

Who should attend

• Data scientists and AI researchers
• Cybersecurity and privacy professionals
• Cloud computing and big data engineers
• IoT developers and smart systems specialists
• Machine learning and deep learning practitioners
• Researchers in intelligent analytics and data governance
• Industry professionals working with smart infrastructure
• Academicians in computer science and information systems
• Software architects and distributed systems engineers
• Technology innovators in autonomous and smart city applications