Track 1: Sustainable Computing and Energy-Efficient Systems

  • Green data centers and cloud computing
  • Low-power hardware design and architectures
  • Energy-efficient computing models
  • Smart grids and energy management

Track 2: AI and Green Technologies

  • AI for energy optimization
  • Sustainable machine learning algorithms
  • Green AI and deep learning techniques
  • AI in climate change mitigation

Track 3: Renewable Energy and Smart Systems

  • Solar, wind, and hybrid energy solutions for computing
  • Sustainable IoT and sensor networks
  • Smart cities and smart infrastructure
  • Green wireless communication systems

Track 4: Green Software Engineering and Algorithms

  • Energy-aware programming and software optimization
  • Eco-friendly software development lifecycle
  • Sustainable algorithms and computation models
  • Green blockchain and distributed systems

Track 5: Sustainable Cybersecurity and Privacy

  • Energy-efficient cryptographic techniques
  • Green cloud security solutions
  • AI-driven cybersecurity for sustainable computing
  • Privacy-preserving technologies with minimal energy consumption

Track 6: Circular Economy and E-Waste Management

  • Sustainable IT policies and e-waste management
  • Eco-friendly electronic design and manufacturing
  • Recycling and refurbishing of computing devices
  • Sustainable business models for IT industries

Track 7: Green Networking and Edge Computing

  • Low-energy networking protocols
  • 5G, 6G, and sustainability
  • Edge computing for energy conservation
  • AI-driven network optimization for energy efficiency