

Welcome to the official website of the 2026 7th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE 2026).
The 7th International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering will be held in a dual-venue format, taking place in the Cumbria, UK, from September 28-30, 2026. This conference will focus on the latest breakthroughs and emerging trends in big data analytics, artificial intelligence, and IoT engineering. It aims to provide a premier international platform for experts, scholars, researchers, and engineers from universities, research institutes, enterprises, and organizations worldwide to exchange ideas, share professional expertise, and build academic and industrial partnerships. Through keynote speeches, parallel sessions, and interactive discussions, the event encourages cross-regional dialogue on cutting-edge concepts and showcases state-of-the-art research and applications. Participants will work together to explore key challenges and future directions in these rapidly advancing fields, fostering the integration and innovative application of technologies across academia and industry.
We look forward to your participation in this unique dual-location conference bridging Europe and Asia.
Full Paper Submission Date
July 13, 2026
Notification of acceptance date
August 13, 2026
Final Paper Submission Date
August 28, 2026
Conference Dates
September 28, 2026


☛ Call For Papers
☛ Submission
☛ Publication
The topics of interest for submission include, but are not limited to:

◕ Track: Big Data
· Big Data Theory and Algorithms
· Big Data Storage and Management
· Big Data Mining and Analysis
· Distributed and Parallel Computing
· Real-time Data Stream Processing
· Data Cleaning and Preprocessing
· Multi-source Data Fusion
· Data Visualization and Analytics
· Big Data Security and Privacy
· Cloud Computing and Big Data
· Edge Computing for Big Data
· Knowledge Graph and Big Data
· High-performance Computing for Big Data
· Data-driven Decision Support Systems
· Big Data Application in Industry

◕ Track: Artificial Intelligence
· Machine Learning and Deep Learning
· Neural Networks and Intelligent Systems
· Natural Language Processing
· Computer Vision and Pattern Recognition
· Knowledge Representation and Reasoning
· Intelligent Optimization Algorithms
· Reinforcement Learning
· Explainable AI
· Cognitive Computing
· Autonomous Intelligent Systems
· Human-Computer Interaction
· Intelligent Control and Automation
· AI Security and Trustworthy AI
· Distributed Artificial Intelligence
· Intelligent Robotics

◕ Track: Internet of Things Engineering
· IoT Architecture and Protocols
· Wireless Sensor Networks
· IoT Perception and Sensing Technology
· IoT Communication and Networking
· Embedded Systems for IoT
· Edge Intelligence for IoT
· IoT Data Processing and Analytics
· IoT Security and Privacy
· Smart Device and Intelligent Terminal
· Cloud-IoT Integration
· Industrial Internet of Things
· Smart City and IoT Applications
· IoT Middleware Technology
· Ubiquitous Computing
· IoT System Integration and Application
1. The submitted papers must not be under consideration elsewhere.
2. Please send the full paper(word+pdf) to Submission System.
3. Please submit the full paper, if presentation and publication are both needed.
4. Please submit the abstract only, if you just want to make presentations.
5. Templates Download.
6. Should you have any questions, or you need any materials in English, please contact us.
All papers submitted to ICBAIE 2026 will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
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Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.