Paper Category
TRACK I: AI for Industrial Intelligence
- Predictive maintenance using deep learning models
- Reinforcement learning in autonomous industrial systems
- AI-based quality inspection in manufacturing
- Natural language processing for industrial documentation
- Explainable AI (XAI) in critical industry operations
- Computer vision for industrial safety and defect detection
- Adaptive AI algorithms for dynamic industrial environments
- AI in robotic process automation for factories
- Federated learning across distributed industrial data sources
- Generative AI for industrial design and prototyping
- AI for energy optimization in smart buildings and plants
- Ethics, trust, and governance in industrial AI applications
TRACK II: Edge-Enabled Industrial IoT
- Architectures for scalable Industrial IoT systems
- Smart sensors and real-time data fusion in industrial environments
- Edge AI for latency-sensitive industrial processes
- Digital twin technology for real-time system modeling
- Secure communication protocols for IIoT networks
- Integration of legacy systems with modern IoT infrastructure
- Industrial automation using cyber-physical systems (CPS)
- Interoperability and open standards in IIoT ecosystems
- 5G and next-gen networks for ultra-reliable industrial communication
- Blockchain for secure industrial data exchange
- Fault detection and self-healing mechanisms in IIoT
- Resilient infrastructure design for mission-critical applications
TRACK III: Applied Connected Intelligence
- Connected Intelligence in healthcare
- Connected Intelligence in agriculture and food system
- Connected Intelligence in Smart Cities & Urban Infrastructure
- Connected Intelligence in Energy & Environment
- Connected Intelligence in Transportation & Mobility
- Connected Intelligence in Education & Skill Development
- Connected Intelligence in Public Safety & Disaster Management
- Connected Intelligence in Finance & Public Services
- Connected Intelligence in Environmental Monitoring
- Connected Intelligence in Disaster Prediction & Risk Management
- Connected Intelligence in Smart Buildings & Home Automation
TRACK IV: Emerging Technologies and Cross-disciplinary Innovations
- Quantum Computing for Industrial Intelligence
- Brain-Inspired Computing in IIoT
- Human Digital Twins and Cognitive Augmentation
- Synthetic Data Generation for Industrial AI Training
- AI-Enabled Multi-Agent Systems in Industrial Ecosystems
- Digital Bio-Manufacturing and Smart Labs
- Extended Reality (XR) in Connected Intelligence Environments
- Convergence of 6G, Edge, and AI for Hyperconnected Industries
- AI and IoT for Circular Economy and Zero-Waste Manufacturing
- Scalable edge-cloud architecture for IIoT