2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI)

https://www.bdai.net

Submission Deadline: March 20th, 2026

Notification Date: April 20th, 2026

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, 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 8 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.

2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI) will be co-sponsored by Chongqing University of Science and Technology, China; IEEE China Council and IEEE from July 3-5, 2026 in Chongqing, China. This conference 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.

Conference Proceedings

All submissions will be peer reviewed, and the accepted papers will be published in the BDAI2026 Conference Proceedings by IEEE, 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.

Call for Papers

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

Special Sessions

Session 1: Human-Computer Interaction (HCI) in Intelligent Robotics and Systems

• Chair: Assoc. Prof. Haipeng Wang, Northwestern Polytechnical University, China

Session 2: Synergizing AI Innovations: From Perception to Prediction for Scientific Discovery and Complex Systems 

• Chair: Prof. Huan Rong, Nanjing University of Information Science and Technology, China

Session 3: Artificial Intelligence and Security: Technologies, Risks, and Governance 

• Chair: Assoc. Prof. Yang Bai, Chengdu University of Information Technology, China

Session 4: Intelligent Drive Data: The Fusion Revolution of Artificial Intelligence and Big Data

• Chair: Dr. Ziyu Jia, Institute of Automation, Chinese Academy of Sciences, China

Session 5: Neurodynamic Optimization and Distributed Computing

• Chair: Dr. Jingxin Liu, Chongqing University of Science and Technology, China
• Co-chair: Prof. Hengmin Zhang, East China University of Science and Technology, China