Conference Information

WASA 2026: International Conference on Wireless Artificial Intelligent Computing Systems and Applications

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WASA
Submission Date:
2026-04-10
Notification Date:
2026-05-24
Conference Date:
2026-06-26
Location:
Xi an, China
Years:
20
CCF: C   Viewed: 115512   Tracked: 139   Attend: 47

Call For Papers

WASA 2026 (International Conference on Wireless Artificial Intelligent Computing Systems and Applications) is a CCF C conference held in Xi an, China on 2026-06-26. The paper submission deadline is 2026-04-10. Acceptance notifications are sent on 2026-05-24.

WASA is an international conference on algorithms, systems, and applications of wireless networks. It is designed to be a forum for theoreticians, system and application designers, protocol developers and practitioners to discuss and express their views on the current trends, challenges, and state-of-the-art solutions related to various issues in wireless networks. Topics of interests include, but are not limited to, effective and efficient state-of-the-art algorithm design and analysis, reliable and secure system development and implementations, experimental study and testbed validation, and new application exploration in wireless networks. WASA 2026 includes several research tracks covering different research areas. Track 1: AI and Machine Learning for Wireless Systems Artificial Intelligence & Machine Learning foundations ML applications in wireless networking Quantum ML for wireless communication Cross-layer optimization with AI Integration of large models in 5G and beyond Track 2: Edge/cloud computing and IoT Edge computing and cloud-native architectures Edge–cloud collaboration and orchestration Federated edge learning and distributed AI IoT architectures, protocols, and applications Algorithms, systems, and applications of IoT Operating system and middleware support for edge/cloud/IoT Programmable service interfaces for IoT and edge Track 3: Wireless Communication and Networking Wireless security and privacy AI-based security protocols in wireless networks Privacy-preserving and federated learning Trustworthy, explainable, and robust AI systems Secure data processing and management Track 5: Applications, Data Management, and Industry Case Studies Information processing and data management Data-driven network optimization Real-world applications and use cases Industry insights and case studies AI in healthcare, smart city, transportation, industrial IoT Future trends and standardization
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