Call For Paper
Key Topics
Track 1
Foundations and Frontiers of Machine Learning
- Supervised, unsupervised, and reinforcement learning techniques
- Deep learning models: CNNs, RNNs, Transformers, GANs
- Ensemble methods and transfer learning strategies
- Feature engineering and dimensionality reduction
- Explainability and interpretability in ML
- Bayesian learning and probabilistic models
- Graph neural networks and structured data analysis
- Optimization algorithms in learning systems
- Distributed and scalable ML frameworks
- AutoML and neural architecture search
- Sequential and time-series modeling
- Anomaly detection and predictive modeling
- Privacy-preserving and federated learning
- Edge deployment and lightweight models
- Model compression and inference acceleration
Track 2
Intelligent Applications for Health, Society, and Sustainability
- Medical imaging and diagnostics using deep learning
- Predictive models for genomics and personalized care
- Clinical decision support through language models
- AI-driven drug discovery workflows
- Healthcare analytics and patient risk prediction
- Smart education platforms and adaptive learning systems
- Precision agriculture and crop yield optimization
- Environmental monitoring and sustainability insights
- Disaster risk detection and early warning systems
- Remote health monitoring and telemedicine
- Assistive systems for healthcare accessibility
- Socially responsible and ethical AI design
- Policy-making support through data modeling
- Multimodal data fusion for public health
- Land use and land cover mapping via satellite imagery
Track 3
Emerging Architectures and Intelligent Systems
- Integration of AI in IoT and cyber-physical networks
- Low-latency edge computing for intelligent applications
- Quantum-inspired computing models for inference
- Autonomous systems and robotics control
- Industrial automation and smart manufacturing
- Decentralized intelligence using blockchain
- Threat intelligence and adaptive cybersecurity
- Energy-efficient computing and smart grid optimization
- Digital twins and real-time process simulation
- AI-empowered 5G and wireless networks
- Supply chain forecasting and logistics optimization
- Multilingual NLP and cross-lingual understanding
- Human-centered design in interactive systems
- Fairness, transparency, and trust in learning systems
- Remote sensing and geospatial intelligence fusion
