IAIC2026 will provide a platform for researchers and practitioners to interact with one another and discuss the state-of-the-art developments in the field. The topics of the conference will cover all aspects of research and application in intelligent Information Science, Communication and Computing, including but not limited to:
Intelligent Information Science and Technology
- Information retrieval
- Semantic Web
- Information systems applications
- Manufacturing information systems
- Human-agent interaction
- Autonomous Agents and Multi-Agent Systems
- Agent-based auction, contracting, negotiation
- Reasoning, learning, and adaptive systems
Artificial Intelligence and Smart Systems
- Embedded Knowledge and Intelligent Systems
- Complex Systems and Applications
- Computer Vision
- Computational Intelligence and Soft Computing
- Machine Learning
- Cyber-Physical Systems
- Intelligent Virtual Reality Technologies
- Biometrics and Smart Systems
- Intelligent Robotics and Control
- Embedded Computer Systems
- Distributed Intelligent Systems
- Artificial Neural Networks
- Fusion of Neural Networks and Fuzzy Systems
- Neural Networks and Applications
- System Modelling and System Simulation
- AI in Renewable Energy Systems
Cloud Computing and Big Data
- Cloud Computing Architecture and Systems
- Cloud Computing Models, Simulations, Designs, and Paradigms
- Cloud Management and Operations
- Dynamic Resource Provision and Consuming
- Cloud Computing Technologies, Services and Applications
- Cloud Computing and Database
- Big data analytics in the cloud
- Techniques, Models and Algorithms for Big Data
- Tools and Systems for Big Data
- Hardware/Software Infrastructure for Big Data
Smart Computing and Communication Technology
- High Performance Computing and Smart Grid
- Smart Wireless Sensors and Systems
- Intelligent Communication and Patterning in Smart Cities
- Green Communication
- Green Computing
- Smart Power Systems
- Edge Computing
- Block Chain Technology
- Internet-of-Things
- Management and Application of 5G Technology
AI Security
- Adversarial Attacks and Defenses in AI Systems
- Privacy Protection in AI
- AI Bias and Fairness
- Securing AI Models and Data
- AI-enabled Cybersecurity
- Explainability and Transparency in AI Systems
- Regulation and Policy in AI Security
- Social Implications of AI Security
