Track 1: Green Computing & Sustainable Software
- Green Computing Paradigms for Sustainable Software Development.
- Energy-Efficient Machine Learning Algorithms for Edge Computing.
- Energy-Aware Networking Protocols for Data Centers.
- Sustainable Cloud Computing Models for Reducing Carbon Footprint.
- Energy-Efficient Data Compression Techniques for IoT Devices.
- Quantum Computing Applications in Green Data Processing.
- Energy-Aware Software Engineering for Mobile Applications.
Track 2: IoT, Sensors & Smart Systems
- Smart Grid Technologies for Efficient Energy Management in Smart Cities.
- Low-Power IoT Architectures for Sustainable Environmental Monitoring.
- Cyber-Physical Systems for Waste Management Optimization.
- Smart Agriculture: IoT and AI Solutions for Sustainable Farming.
- 5G-Enabled Sustainable Communication Systems for Remote Areas.
- Sustainable Design of Embedded Systems for Environmental Monitoring.
- Wearable Sensors for Health Monitoring: Low-Energy Design Strategies.
- AI-Powered Water Quality Monitoring Systems for Environmental Conservation.
- Digital Twin Technology for Smart and Sustainable Manufacturing.
- Designing Energy-Harvesting Circuits for Self-Powered IoT Devices.
- Smart Sensors for Green Building Energy Management Systems.
- Edge AI Solutions for Real-Time Environmental Data Processing.
Track 3: AI, Blockchain & Emerging Technologies
- AI-Driven Predictive Maintenance for Renewable Energy Systems.
- Blockchain Applications in Sustainable Supply Chain Management.
- Blockchain and IoT for Secure and Transparent Energy Trading.
- Renewable Energy Forecasting using Deep Learning Techniques.
- Digital Signal Processing Techniques for Renewable Energy Optimization.
- Low-Energy Blockchain Frameworks for IoT in Smart Cities.
- Smart City Technologies and Integrated Digital Infrastructure.