Scope & Topics

7th International Conference on Big Data (CBDA 2026) will provide an excellent international forum for sharing cutting edge knowledge and research results in the theory, methodology, and applications of Computer Science, Engineering, and Information Technology. CBDA 2026 brings together researchers, practitioners, and industry experts to exchange ideas, discuss emerging challenges, and explore innovative solutions in the rapidly evolving field of Big Data. The conference aims to foster collaboration across disciplines and promote advances in large scale data analytics, intelligent systems, and data driven technologies that are shaping the future of science, industry, and society.

Topics of interest include, but are not limited to, the following:

    Scalable Data Systems, Algorithms, and Cloud Native High Performance Computing
    Real Time Streaming Analytics, Edge Cloud Intelligence, and 5G/6G Data Processing
    Data Engineering: Quality, Integration, Governance, and Automated Data Management
    LargeScale Knowledge Graphs, Semantic Data Management, and Intelligent Reasoning
    Privacy Preserving Analytics, Federated Learning, and Trustworthy AI at Scale
    Machine Learning for Big Data: Foundation Models, Multimodal Analytics, Graph Learning, Causality, and Explainability
    Scalable Data Mining: Pattern Discovery, Anomaly Detection, and High Dimensional Analytics
    Big Data Applications in Health, Climate, Smart Cities, Finance, and Social Systems
    Benchmarking, Reproducibility, Visualization, and Human Centered Data Exploration
    Quantum Data Systems and Emerging Computational Paradigms
    Synthetic Data Generation, Evaluation, and Data Augmentation
    Autonomous Data Systems, Self Tuning Pipelines, and Intelligent Data Infrastructures