Track 1: Green AI and Energy-Efficient Computing

• AI-driven energy optimization
• Low-power AI hardware and edge computing
• Sustainable data centers and cloud computing

Track 2: AI for Environmental and Climate Sustainability

• AI applications in climate modeling and disaster prediction
• AI for smart grids and renewable energy management
• Sustainable agriculture and water resource optimization

Track 3: Ethical AI and Responsible Computing

• Bias, fairness, and transparency in AI
• Sustainable AI governance and regulatory frameworks
• AI ethics in environmental and social sustainability

Track 4: Sustainable IoT and Smart Systems

• AI for smart cities and sustainable transportation
• Energy-efficient IoT for environmental monitoring
• AI-enabled circular economy solutions

Track 5: Machine Learning for Sustainable Development

• AI in healthcare for sustainable well-being
• AI for sustainable supply chains and logistics
• Data-driven decision-making for SDGs (Sustainable Development Goals)

Track 6: Cybersecurity, Privacy, and Sustainability in AI

• AI-driven cybersecurity for green IT infrastructure
• Privacy-preserving AI models for sustainable data sharing
• Secure federated learning and blockchain for sustainable AI