Conference Information

BDAI 2026: International Conference on Big Data and Artificial Intelligence

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BDAI
Submission Date:
2026-06-05 Extended
Notification Date:
2026-06-15
Conference Date:
2026-07-03
Location:
Chongqing, China
Years:
9
Viewed: 25837   Tracked: 20   Attend: 14

Call For Papers

BDAI 2026 (International Conference on Big Data and Artificial Intelligence) is an academic conference held in Chongqing, China on 2026-07-03. The paper submission deadline is 2026-06-05 (extended). Acceptance notifications are sent on 2026-06-15.

The BDAI 2026 is the premier interdisciplinary platform for the presentation of new advances and research results in the fields of Big Data and Artificial Intelligence. 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 Representation Formats for Multimedia Big Data Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service 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 Anomaly Detection in Very Large Scale Systems Collaborative Threat Detection using Big Data Analytics Big Data Search and Mining Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Big Data Applications Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Artificial Intelligence Intelligent User Interfaces Bayesian Networks Soft Computing Neural Networks Natural Language Processing Machine Learning Planning and Scheduling Knowledge Representation and Reasoning Uncertainty in AI Model-Based Reasoning Ontologies Data Mining Data Science Constraint Satisfaction State Space Search Case-Based Reasoning Cognitive Systems Intelligence and Cybersecurity Vision and Perception Pattern Recognition Ambient Intelligence AI and Creativity Evolutionary Computing Fuzzy Systems Knowledge-Based System Industrial applications of AI Hybrid Intelligent Systems Visualization Deep Learning Technologies for Computational Communication Big Data Analytics for Online Journalism Intelligent Technologies for Media Intelligent Information Processing and Applications
Last updated by Dunn Carl on

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