Special Session 2: Artificial Intelligence and Blockchain Technologies in Internet of Things

Organizer

Prof. Weiwei Jiang (IEEE Senior Member, ACM Member) is currently an associate professor with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, and Key Laboratory of Universal Wireless Communications, Ministry of Education. He received the B.Sc. and Ph.D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2013 and 2018, respectively. His current research interests include artificial intelligence, machine learning, big data, wireless communication and edge computing. He has published more than 100 academic papers in IEEE Trans and other journals, with more than 7500 citations in Google Scholar. He is one of 2022, 2023, 2024 and 2025 Stanford's List of World's Top 2% Scientists.

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Introduction:

The rapid proliferation of Internet of Things (IoT) systems generates massive distributed sensor data, yet critical challenges remain, including data trustworthiness, decentralized security, privacy leakage, and inefficient intelligent decision‑making across heterogeneous edge devices. This special session targets the integration of artificial intelligence (AI) and blockchain to address these bottlenecks for next‑generation IoT ecosystems. This special session welcomes original research exploring how blockchain enables tamper‑proof data logging, decentralized access control and transparent data sharing, while AI empowers real‑time data analytics, anomaly detection and autonomous resource orchestration for IoT networks. Topics cover AI‑enhanced blockchain consensus, privacy‑preserving machine learning on blockchain‑aided IoT, edge‑IoT collaborative intelligence, smart‑contract‑driven IoT service management, and practical deployment case studies. This session aims to bring together researchers and practitioners to exchange insights, identify open issues, and foster innovative cross‑disciplinary solutions for secure, trustworthy and intelligent IoT infrastructures.

 

Topics:

*   AI‑enhanced blockchain consensus
*   Privacy‑preserving machine learning on blockchain‑aided IoT
*    Edge‑IoT collaborative intelligence
*    Smart‑contract‑driven IoT service management
*    Practical deployment case studies