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About BDAI | Big Data and Artificial Intelligence
第七届IEEE大数据与人工智能国际会议 | 2024年7月5-7日 | 北京

Big data and artificial intelligence are important fields for future scientific and technological development and industrial upgrading. The International Conference on Big Data and Artificial Intelligence is an academic conference initiated by Prof. Sheng-Uei Guan, alumni of Tsinghua University and Professor of Xi 'an Jiaotong-Liverpool University, and co-sponsored by many well-known universities and institutions at home and abroad. Since the first conference was held in Beijing in 2018, the conference has been held for 6 years. It has been focused on the original basic and applied research in the field of big data and artificial intelligence. BDAI attracts a large number of researchers from dozens of countries and regions, such as China, England, Finland, Russia, Thailand, Singapore, Turkey, Luxembourg, Germany, Malaysia, Japan, and Denmark.

2024 IEEE the 7th International Conference on Big Data and Artificial Intelligence (BDAI) will be held at North China University of Technology, Beijing, China on July 5-7, 2024. This meeting will focus on foundations of the original, either theoretical or applied research. It is suitable for experts and scholars in the field of big data and artificial intelligence. Papers can be submitted and presented for discussions. Industrial companies, incubators and investors are also welcome to join BDAI. The conference will provide a platform for scholars to interact and find new opportunities for science and technology development.




Co-sponsored by | 主办单位


Assisted by | 协办单位

Patrons | 支持单位 (排名不分先后,不断更新中)

Conference Proceedings | 论文集

All submissions will be peer reviewed, and the accepted papers will be published in the BDAI2024 Conference Proceedings, Conference content will be submitted for inclusion into IEEE Xplore and indexed by Ei Compendex and Scopus, as well as other Abstracting and Indexing (A&I) databases.

!! BDAI 2024 has been listed on the IEEE conference list! | 会议进入IEEE官方会议列表 ! 

BDAI2023 - ISBN: 979-8-3503-0365-0 - IEEE Xplore Online | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)  
- ISBN: 978-1-6654-7080-3 - IEEE Xplore Online | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)     
BDAI2021 - ISBN: 978-1-6654-1269-8 - IEEE Xplore Online | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)  
BDAI2020 - ISBN: 978-1-4503-7560-3 - ACM Digital Library | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)
- ISBN: 978-1-4503-7185-8 - ACM Digital Library | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)
BDAI2018 - ISBN: 978-1-5386-6136-9 - IEEE Xplore Online | Ei-Compendex & Scopus (Ei核心检索和Scopus收录)  

Submission Details | 投稿详情

1. Template Download (模板下载) here
2. Prepare your manuscript in English. Please ensure that your manuscript does not contain grammatical and language errors.
3. All third party work included in your paper should be properly acknowledged with referencing.
4. The manuscripts should be submitted as a PDF document in .pdf format.
5. Upload your paper to Electronic Submission System (投稿链接) on or before the deadline.


BDAI Calendar | 重要日期

Submission Deadline
May 20th, 2024
Notification Date
May 30th, 2024
Registration Deadline
June 10th, 2024

Call for Papers | 征稿启事

The conference will bring together leading academic scientists, researchers and scholars in the domain of interest from around the world. Topics of interest for submission include, but are not limited to:

  • Big Data Models and Algorithms
    • Foundational Models for Big Data
    • Algorithms and Programming Techniques for Big Data Processing
    • Big Data Analytics and Metrics
  • Big Data Architectures
    • Cloud Computing Techniques for Big Data
    • Big Data Open Platforms
    • Big Data in Mobile and Pervasive Computing
  • Big Data Management
    • Big Data Persistence and Preservation
    • Big Data Quality and Provenance Control
    • Management Issues of Social Network Big Data
  • Big Data Protection, Integrity and Privacy
    • Models and Languages for Big Data Protection
    • Privacy Preserving Big Data Analytics
    • Big Data Encryption
  • Big Data Applications
    • Algorithms and Systems for Big Data Search
    • Machine learning based on Big Data
    • Visualization Analytics for Big Data
  • Artificial Intelligence
    • Intelligent User Interfaces
    • Soft Computing
    • Neural Networks
    • Machine Learning
    • Uncertainty in AI
    • Model-Based Reasoning
    • Industrial applications of AI
  • Technologies for Computational Communication
    • Big Data Analytics for Online Journalism
    • Intelligent Technologies for Media
    • Intelligent Information Processing and Applications


Contact Us | 联系我们

Ms. Ashley Liu (刘女士)

Email: bdai2018@vip.163.com