2026 3rd International Conference on Big Data Analytics and Artificial Intelligence Application
BDAIA 2026
November 20 to 22, 2026
The 2026 3rd International Conference on Big Data Analysis and Artificial Intelligence Application (BDAIA 2026), sponsored by Zhuhai College of Science and Technology, will be held in Zhuhai, China, from November 20 to 22, 2026. Building on the success of previous editions, the conference continues to strengthen its international profile and promote innovation in data-driven and intelligent systems.
BDAIA 2026 will bring together researchers, academics, and industry professionals worldwide to present and discuss advances in big data analytics and artificial intelligence. The conference focuses on core areas such as scalable data processing, distributed and cloud/edge systems, data mining, real-time analytics, and data security, as well as machine learning, natural language processing, computer vision, intelligent systems, and trustworthy AI. It aims to provide a rigorous platform that bridges theoretical research with practical applications across emerging digital and industrial domains.
Through keynote speeches, technical sessions, and paper presentations, participants will share high-quality research results, explore emerging technologies, and foster international collaboration. We warmly invite scholars and practitioners to participate in BDAIA 2026 and contribute to advancing the frontiers of big data and artificial intelligence.
We warmly invite researchers, academics, and industry professionals worldwide to contribute their latest original research, case studies, and practical insights.
Track 1: Big Data Analytics
Big Data Algorithms and Scalable Computing
Distributed, Cloud, and Edge Data Systems
Data Mining and Knowledge Discovery
Stream Processing and Real-Time Analytics
Track 2: AI Intelligence Application
Machine Learning and Deep Learning
Natural Language Processing and Speech Technologies
Computer Vision and Multimedia Analysis
Intelligent Systems and Autonomous Technologies
All submissions will undergo a double-blind peer review by 2-3 experts in relevant fields. Acceptance will be based on the quality of the paper and satisfactory revisions in response to reviewers’ comments. Accepted papers, following proper registration and presentation, will be included in the conference proceedings and submitted for indexing in EI Compendex and Scopus.


