Call for Papers

We invite high-quality papers reporting original research in the focus areas listed below.

1. Agentic AI & Next-Gen Machine Learning
Autonomous Agent Architectures, Multi-Agent Collaboration, and Reasoning Frameworks
Large Language Models (LLMs), Vision-Language-Action Models, and Foundation Model Optimization
Small Language Models (SLMs) and Efficient On-Device Neural Networks
Causal AI, Recommender Systems, and Neuro-Symbolic Integration
2. Data Engineering, Analytics & Modern Data Architecture
Real-Time Data Streaming, Lakehouses, and Decentralized Data Mesh Systems
Automated Data Pipeline Operations (DataOps) and Synthetic Data Generation
Graph Neural Networks (GNNs), Knowledge Graphs, and Vector Search Engines
Scalable Big Data Processing, Storage Optimization, and High-Performance Analytics


3. Responsible AI, Security & Governance
AI Safety, Mechanistic Interpretability, and Explainable AI (XAI)
Data Sovereignty, Privacy-Preserving Machine Learning (Federated Learning, Differential Privacy)
Adversarial Machine Learning, Threat Modeling, and Securing AI Systems
Regulatory Frameworks, Algorithmic Bias Mitigation, and Ethical AI Standards
4. Edge AI, IoT, and Physical Intelligence
AI at the Edge, Neuromorphic Computing, and Micro-Machine Learning (TinyML)
Spatial Computing, Extended Reality (XR), and Physical AI in Robotics
Green AI: Sustainable Computing, Energy-Efficient Hardware, and Carbon-Aware Training
Quantum Machine Learning and Emerging Hardware Accelerators