2026 IEEE 9th International Conference on Big Data and Artificial Intelligence (BDAI 2026)
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.
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.
BDAI 2026 has been listed on the IEEE conference list! |
https://conferences.ieee.org/conferences_events/conferences/conferencedetails/70753
BDAI2025 – ISBN: 979-8-3503-9251-7 – IEEE Xplore Online
BDAI2024 – ISBN: 979-8-3503-5199-6 – IEEE Xplore Online | Ei-Compendex & Scopus
BDAI2023 – ISBN: 979-8-3503-0365-0 – IEEE Xplore Online | Ei-Compendex & Scopus
BDAI2022 – ISBN: 978-1-6654-7080-3 – IEEE Xplore Online | Ei-Compendex & Scopus
BDAI2021 – ISBN: 978-1-6654-1269-8 – IEEE Xplore Online | Ei-Compendex & Scopus
BDAI2020 – ISBN: 978-1-4503-7560-3 – ACM Digital Library | Ei-Compendex & Scopus
BDAI2019 – ISBN: 978-1-4503-7185-8 – ACM Digital Library | Ei-Compendex & Scopus
BDAI2018 – ISBN: 978-1-5386-6136-9 – IEEE Xplore Online | Ei-Compendex & Scopus
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
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- 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
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- Big Data Analytics for Online Journalism
- Intelligent Technologies for Media
- Intelligent Information Processing and Applications
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- Big Data Applications
