International Conference on Reasoning AI in Future Communication Systems - ICRFCS 2026
Call for papers
ICRFCS 2026 welcomes original contributions in, but not limited to, the following areas:
1. Reasoning AI (RAI) Models and Architectures
- Fuzzy reasoning and handling uncertainty in AI systems
- Knowledge representation and logical inference models
- Hybrid reasoning with symbolic AI and machine learning
- Reasoning in cognitive computing architectures
- Automated reasoning algorithms for large-scale data
- Neuro-symbolic reasoning in AI applications
- Datasets and evaluation of reasoning frameworks
2. Next-Generation Communication Networks
- AI-driven reasoning for 5G/6G optimization
- Spectrum management and allocation using reasoning systems
- Reasoning-based approaches for network slicing
- Adaptive routing and traffic management with reasoning AI
- Fault detection and recovery in communication systems
- Reasoning in self-organizing and cognitive radio networks
- Energy-efficient reasoning algorithms for green communications
- Integration of reasoning AI in satellite and space communication
3. Internet of Things (IoT) and Edge Computing
- Reasoning-based IoT device coordination and interoperability
- Context-aware reasoning in IoT environments
- Intelligent reasoning for smart homes and smart cities
- Trust and security reasoning models for IoT systems
- Reasoning for low-latency edge intelligence
- Resource allocation and scheduling using reasoning AI
- Predictive reasoning for maintenance in IoT networks
- Federated and distributed reasoning in IoT-Edge ecosystems
4. Cybersecurity and Intelligence
- Automated reasoning for intrusion detection and prevention
- Reasoning-driven malware and threat analysis
- Knowledge-based reasoning for vulnerability assessment
- Adaptive reasoning for real-time threat response
- AI reasoning in blockchain and secure transactions
- Reasoning-enabled anomaly detection in communication networks
- Privacy-preserving reasoning frameworks
5. Healthcare Systems and Analysis
- Diagnostic reasoning for medical decision support
- AI reasoning for personalized treatment recommendations
- Reasoning-based systems for medical imaging analysis
- Clinical knowledge graphs and reasoning integration
- Predictive reasoning for disease outbreak and progression
- Reasoning in telemedicine and remote monitoring
- Explainable reasoning in healthcare AI
- Case-based reasoning for healthcare knowledge management
6. Robotics and Autonomous Systems
- Reasoning for robot navigation and path planning
- Multi-agent reasoning in autonomous systems
- Task allocation and scheduling with reasoning AI
- Reasoning-enabled human–robot collaboration
- Perception and sensor fusion using reasoning algorithms
- Reasoning in industrial and service robotics
- Adaptive learning and reasoning for dynamic environments
- Reasoning in unmanned aerial/ground vehicle operations
7. Conversational AI and Human-AI Interaction
- Reasoning-based dialogue management in chatbots
- Contextual reasoning for natural language understanding
- Multi-modal reasoning in conversational systems
- Emotion and sentiment reasoning in dialogue systems
- Reasoning in real-time translation and cross-lingual communication
- Human-in-the-loop reasoning frameworks for collaboration
- Explainability and transparency in conversational reasoning
8. Emerging Trends and Cross-Domain Applications
- Integration of reasoning AI with Large Language Models (LLMs)
- Reasoning-driven explainable and trustworthy AI
- Reasoning in quantum communication systems
- Societal and industrial applications of reasoning AI
- Reasoning in sustainable and green communication systems
- Reasoning AI for disaster management and smart governance