Conference Description
Key Takeaways
- Academic conference covering Big Data analytics and Internet of Things integration, with emphasis on smart environments and 6G-enabled IoT
- Co-sponsored by Shanghai University and the University of Macau, with proceedings published by ACM and indexed by Ei-Compendex and Scopus
- Designed for researchers, academics, data scientists, IoT engineers, and industry professionals in telecommunications, smart city development, and cloud computing
- Three-day program featuring expert talks, panel discussions, and paper presentations
About the Conference
The 10th International Conference on Big Data and Internet of Things (BDIOT2026) takes place October 23-25, 2026, in Shanghai, China. Now in its tenth year, the conference serves as a platform for presenting and publishing research at the intersection of large-scale data analytics and connected device ecosystems. Shanghai University and the University of Macau co-sponsor the event, which maintains an academic focus on advancing foundational research and applied technologies.
Accepted papers are published in conference proceedings indexed by Ei-Compendex and Scopus, with ACM handling publication. The conference also maintains a connection with the MDPI Sensors journal for special issues.
Technical Focus Areas
BDIOT2026 addresses the technical challenges of managing, analyzing, and securing data generated by IoT devices at scale. The program covers Big Data fundamentals across the five Vs (volume, velocity, variety, veracity, and value), alongside analytics methodologies and data management practices.
IoT-specific topics include software architecture, middleware design, communication protocols, and secure IoT architectures. The conference examines sensor networks and their application in smart city infrastructure. Sessions also explore cloud and grid computing frameworks such as MapReduce and Spark, as well as emerging 6G-enabled IoT capabilities.
Machine learning and artificial intelligence feature prominently, particularly in the context of integrating these technologies with IoT systems to enable data-driven decision-making across industries.
Who Should Attend
The conference targets academic researchers, university faculty, and PhD students working in Big Data or IoT disciplines. Industry professionals including data scientists, IoT engineers, software developers, and technology strategists will find relevant content, particularly those working in IT, telecommunications, smart city development, and cloud computing sectors. R&D managers and technical leads seeking to understand current research directions in scalable architectures and intelligent infrastructure may also benefit from the program.
Event Format
BDIOT2026 is an in-person event structured around expert talks, invited reports, panel discussions, and paper presentations. The format emphasizes knowledge exchange and collaboration among researchers and practitioners working on the integration of information technology with physical systems.