AI-SIIS 2026 (IEEE International Conference on AI and Security for Industrial IoT Systems) is an academic conference held in Hyderabad, India on 2026-09-24. The paper submission deadline is 2026-02-15. Acceptance notifications are sent on 2026-04-25.
AI-SIIS 2026 focuses on industrial and upcoming frontier technologies, applications of electronics, controls, communications, instrumentation and computational intelligence. The objectives of the conference are to provide high quality research and professional interactions for the advancement of science, technology, and fellowship. Papers with new research results are encouraged for submission.
Technical Topics (but not limited to)
Track 1: AI-Based Security and Intelligence for Industrial IoT
AI-based threat detection and mitigation for Industrial IoT (IIoT)
Machine learning for anomaly detection in industrial networks
Federated and distributed learning for industrial cybersecurity
Fault-tolerant AI architectures for industrial automation
Intrusion detection and prevention in smart factories
Deep learning for malware classification in IIoT environments
Blockchain for secure IIoT data sharing and identity management
Track 2: AI for Smart Healthcare and Medical IoT
Deep learning for disease diagnosis and early detection
AI-enabled predictive healthcare analytics and patient monitoring
Federated learning for clinical data sharing and privacy preservation
Explainable AI (XAI) for medical decision-making
Reinforcement learning in personalized treatment planning
AI-driven biomedical signal and image analysis
Digital twins and AI modeling for healthcare systems
AI for remote monitoring and telemedicine applications
Track 3: Secure and Ethical AI Systems for Industry and Society
Ethics-by-design frameworks for AI in industrial automation
AI control mechanisms and failsafe architectures
Explainability and interpretability for critical decision systems
AI accountability and auditability models
Managing algorithmic bias in industrial and social contexts
Standards and benchmarks for ethical and safe AI
Track 4: Human–Machine Collaboration and Cognitive AI Systems
AI-driven human-machine collaboration in industrial environments
Cognitive AI systems for decision support and control
Adaptive interfaces for human-in-the-loop systems
Trust, transparency, and human factors in AI-enabled operations
Track 5: Smart and Intelligent Sensor Applications
AI and machine learning for sensor data processing
Sensor fusion and signal conditioning
Self-calibrating and self-healing sensors
Smart camera systems
Industrial IoT and predictive maintenance sensors