Track 1: Intelligent Systems for Sustainability
- AI-driven solutions for smart cities and urban sustainability
- Intelligent Human-Machine Interaction for sustainable UI
- Intelligent Hybrid Systems for sustainability
- Intelligent Behaviour and Intelligent Control
- Intelligent Decision Making Systems sustainable protocol
- Intelligent transportation systems for energy efficiency
- Renewable energy forecasting using intelligent algorithms
- Autonomous systems in agriculture for sustainable farming practices
- AI applications in water resource management and conservation
Track 2: Data Optimization for a Sustainable Future
- Big data analytics for environmental monitoring and climate change
- Optimization techniques for resource allocation in sustainable supply chains
- Data-driven strategies for waste management and recycling
- Energy-efficient data center optimization
- Real-time decision-making systems for disaster management
- Bio-inspired and nature-inspired optimization techniques
- Multi-objective optimization for sustainability challenges
- Evolutionary algorithms in renewable energy systems
- AI-based optimization in environmental and ecological modeling
- Swarm intelligence for large-scale sustainable problem solving
Track 3: Computational Intelligence for Socio-economic and Sustainable Infrastructure
- Intelligent healthcare systems for underserved populations
- AI and blockchain in financial inclusion and economic empowerment
- Intelligent systems for energy-efficient buildings
- Smart grids and energy optimization in urban areas
- AI for sustainable urban mobility planning
- Data optimization for resilient and adaptive infrastructure
- Role of geospatial intelligence in sustainable land use
- Human-centric AI for educational equity and lifelong learning
- Ethical and explainable AI in public policy-making
Track 4: Sustainability in Industry 4.0
- Predictive maintenance in industrial systems to reduce waste
- IoT-enabled smart factories for green production
- Optimization algorithms for low-carbon industrial processes
- Green Manufacturing and Circular Economy
- Life-cycle assessment and optimization in smart factories
- Energy Efficiency and Resource Optimization
- Smart energy management systems in Industry 4.0 environments
- AI for optimizing green logistics and reducing carbon footprints
- Edge computing for energy-efficient industrial IoT applications
- Environmental impact modeling using Industry 4.0 technologies
- Robotics and Automation for Sustainability
- Human-Centric and Ethical Industry 4.0
- Policy and Governance in Sustainable Industry 4.0
- Data privacy and security challenges in Industry 4.0 sustainability
Track 5: Intelligent Security Mechanism and Policies
- Intelligent Data security and Data privacy for sustainability
- Intelligent Communication protocol security for sustainability
- Cyber hacking, next generation fire wall of intelligent data
- Data sharing and information visualization for security informatics
- Digital forensics in intelligent data for sustainability
- Intelligent Big data security, Database security
- Web-based intelligence monitoring and analysis
- Intelligent data mining in security, optimization, and cloud computing
- Spatial-temporal data analysis for crime analysis and security informatics
- Cloud-based intelligent data and security issues
- Heterogeneous architecture for cloud-based intelligent data
- Intelligent IoT-based Device security
Track 6: Emerging Technologies for Sustainability
- Quantum computing applications for sustainable optimization
- Federated learning for decentralized sustainable solutions
- Use of digital twins in environmental monitoring
- Role of edge computing in smart and sustainable systems
- Advancements in renewable energy integration using AI
- Smart Pedagogy in convergent Technologies
- Digital pedagogy for sustainable learning
- Tech-driven Learning protocols for life-long learning