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