BDAA' 2026 welcomes original, unpublished research contributions that address both foundational and applied aspects of big data analytics. The scope of the conference spans a wide range of topics that encompass the design, development, and deployment of data-intensive systems and intelligent analytics pipelines. This includes, but is not limited to:

* Foundations of Big Data Analytics:

- Data mining and knowledge discovery at scale
- Scalable machine learning and deep learning
- Statistical and probabilistic methods for big data
- High-dimensional and sparse data analytics

* Systems and Architectures:

- Distributed and parallel data processing frameworks
- Real-time and stream data processing systems
- Edge, fog, and cloud computing for big data
- Energy-efficient and high-performance data architectures

* Data Management and Engineering:

- Data integration, fusion, and transformation
- Data quality, cleaning, and wrangling
- Data storage and indexing for massive datasets
- Big data lifecycle management and pipelines Security,

* Privacy, and Ethics:

- Privacy-preserving data analytics and cryptographic techniques
- Federated and decentralized learning systems rust, fairness, explainability, etc.
- Ethical and legal aspects of big data usage

* Advanced Analytical Techniques:

- Graph analytics and network data mining
- Temporal, spatial, and spatiotemporal analytics
- Multimodal and heterogeneous data fusion
- Causal inference and interpretable models

* Visualization and Human-Centered Analytics:

- Visual analytics for large-scale and dynamic data
- Interactive dashboards and exploratory analysis tools
- User interfaces for big data platforms

* Domain-Specific Applications:

- Healthcare and biomedical data analytics
- Financial risk modeling and fraud detection
- Smart cities, IoT, and environmental monitoring
- Industrial big data, manufacturing and predictive maintenance
- Social media, marketing, and behavioral analytics
- Cybersecurity and anomaly detection

* Tools, Benchmarks, and Case Studies:

- Open-source platforms and reproducible research
- Scalable data analytics tools and libraries
- Real-world deployments and industrial case studies

BDAA' 2026 encourages submissions that propose novel frameworks, demonstrate empirical validation on large-scale datasets, or present system prototypes and deployments that advance the state of the art in data-driven technologies.


Contribution Types:

* Keynote and Invited presentations
* Industrial presentations
* Regular sessions
* Poster sessions
* Online presentations (on-demand)
* Exhibition


Special Sessions:

Authors are welcome to organize and manage special sessions during the conference. Each session must contain 4-6 papers in a related field as specified above. Session organizers will get:

* Certificate of appreciation
* Free registration for the even