2022 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE 2022)

2022 3rd International Conference on Big Data & Artificial Intelligence & Software Engineering(ICBASE 2022)will bring together leading researchers, engineers and scientists in the domain of interest from around the world.

Topics include but are not limited to the following areas:

  • Big Data Analysis

  • Deep Learning、Machine Learning

  • Artificial Intelligence

  • Pattern Recognition

  • Data Minin

  • Cloud Computing Technologies

  • Internet of Things

  • AI Applied to the IoT

  • Clustering and Classification

  • Soft Computing

  • Natural Language Processing

  • E-commerce and E-learning

  • Wireless Networking

  • Network Security

  • Big Data Networking Technologies

  • Graph-based Data Analysis

  • Signal Processing

  • Online Data Analysis

  • Sequential Data Processing

Manuscripts reviewed by experts from the conference organizing committee will be accepted and published . The published papers will then be submitted to EI, SCOPOUS for indexing. 

Submission Methods

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to SUBMISSION ONLINE 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: Templates

6.Should you have any questions, or you need any materials in English, please contact us at contact@icbase.org


1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.