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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

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

Submission

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.