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.

 

 
Full Paper Submission Deadline
August 14, 2026
Notification Date
September 18, 2026
Final Paper Submission Deadline
October 19, 2026
Conference Dates
November 20–22, 2026
All deadlines are at 23:59 (UTC+8) on the specified dates

  

 

We warmly invite researchers, academics, and industry professionals worldwide to contribute their latest original research, case studies, and practical insights.

Topics of interest for submission include, but are not limited to, the following:

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.