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
Track Co-Chairs:
Qiang He, Huazhong University of Science and Technology
Zakirul Alam Bhuiyan, Fordham University
Topics:

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
Track Co-Chairs:
Deze Zeng, China University of Geoscience
Miloš Stojmenović, Univerzitet Singidunum
Ju Wang, Northwest University
Topics:

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
Track Co-Chairs:
Shaoyong Guo, Beijing University of Posts and Telecommunications
Nan Cheng, Xidian University
Pengfei Wang, Dalian University of Technology
Topics:

5G/6G architectures and protocols
Integrated sensing and communications
Low resolution communication
Routing, congestion, and traffic control
Wireless power and information transfer


Track 4: Wireless Security, Privacy, and Trustworthy AI
Track Co-Chairs:
Zhen Ling, Southeast University
Junqing Zhang, University of Liverpool
Guoming Zhang, Shandong University
Topics:

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
Track Co-Chairs:
Pinghui Wang, Xi'an Jiaotong University
Yipeng Zhou, Macquarie University
Topics:

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