The Conference invites papers on the following themes but not limited to following:
1. Applied Artificial Intelligence and Machine Learning
- AI in healthcare: Predictive diagnostics and personalized medicine
- AI for climate change and environmental sustainability
- AI in education: Smart tutoring and automated assessments
- AI for autonomous systems: Drones, robotics, and self-driving cars
- AI in finance: Data-driven decision making
- Smart agriculture: AI-driven farming and crop monitoring
- AI in retail: Smart customer engagement and personalization
- Reinforcement learning and deep learning advancements
- Natural Language Processing (NLP) and conversational AI
- Computer vision and image recognition breakthroughs
- AI-powered recommendation systems and personalization
- Generative AI: Applications in content creation and automation
2. Sustainable Computing Technologies
- Artificial intelligence for energy optimization
- Eco-friendly software development
- Edge and Fog Computing
- Green Computing
- Sustainable data centres
- Carbon footprint reduction
- Lifecycle analysis and assessment of computing systems
- Sustainable Application Resource Management tools
- Artificial intelligence powered environmental impact tracking
3. Cybersecurity, Privacy and Sustainability with AI
- Green computing and cybersecurity
- AI-driven threat intelligence and cybersecurity automation
- Deepfake detection and AI-based digital forensics
- Blockchain for cybersecurity and secure transactions
- Privacy preserving AI models for sustainable data sharing
- AI-powered fraud detection and risk assessment
- Adversarial AI: Defending against AI-powered cyberattacks
- Ethical AI in security
- Secure federated learning and blockchain for sustainable AI
- AI-driven biometric authentication and facial recognition security
4. Cloud Computing and Edge AI
- AI-driven cloud computing and intelligent automation
- Edge AI in autonomous vehicles and IoT applications
- Hybrid cloud strategies and multi-cloud optimization
- AI for cloud security and threat detection
- Cloud-based AI development platforms and tools
- Fog computing and its role in smart cities
- AI-powered cloud cost optimization and resource management
- Real-time AI analytics at the edge
5. Big Data and Analytics for Sustainability
- Real-time data analytics and stream processing
- Predictive analytics for business intelligence
- AI-powered anomaly detection in big data
- Sentiment analysis and social media analytics
- AI in financial analytics and risk modeling
- Scalable big data architectures for AI applications
- AI-driven medical and genomic data analysis
- Ethical concerns in big data and algorithmic bias
6. Blockchain and Decentralized Technologies for Sustainability
- AI-powered blockchain security and fraud detection
- Smart contracts and AI-driven automation
- AI in cryptocurrency trading and risk assessment
- Blockchain for digital identity verification
- Supply chain transparency using AI and blockchain
- Blockchain for secure healthcare data sharing
- AI for legal and compliance automation in blockchain
7. Internet of Things (IoT) and Smart Systems for Sustainable Development
- AI in smart homes and connected devices
- IoT-powered AI in healthcare and remote monitoring
- Smart transportation and AI-driven traffic management
- IoT for urban sustainability
- AI-powered predictive maintenance in IoT networks
- Digital twins in smart infrastructure and urban planning
- AI for smart energy grids and renewable energy management
- IoT security: AI-driven anomaly detection and threat mitigation
- AI in Industrial IoT (IIoT) and factory automation
- AI-driven wearable technology and smart assistants
- Smart supply chain and logistics optimization
