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