International Conference on Big Data and Artificial Intelligence

Important dates

1. 18 Nov

   Abstract / full paper deadline

   In 3 days

2. 15 Dec

   Conference

   Thimphu, Bhutan

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

The key intention of ICBDAI is to provide opportunity for the global participants to share their ideas and experience in person with their peers expected to join from different parts on the world. In addition this gathering will help the delegates to establish research or business relations as well as to find international linkage for future collaborations in their career path. We hope that ICBDAI outcome will lead to significant contributions to the knowledge base in these up-to-date scientific fields in scope.

Topics and scope

• Analytics as a Service
• Architectural Design for Big Data
• Big Data Analytics for Governance
• Conceptual/cognitive/programming Models for Big data analytics
• Clustering of Big Data
• Data Fusion and Multi Modal Analytics
• Data Models for Big Data Analytics
• Domain-specific Analytics
• Index Structures for Big Data Analytics
• Interaction Design for Exploratory Analytics
• Machine Learning and AI techniques for Big Data
• Large-scale recommendation systems and graph analysis
• Model Discovery from Big Data
• NoSQL and non-standard Data Models
• Physical Data Organization for Big Data
• Predictive Modelling
• Rule Mining from Big Data
• Scalability and Performance issues
• Security, privacy and legal issues specific to big data
• Semantics of Big Data
• Streaming Data Analytics
• Summarization and Materialized views
• Topic Modelling
• Unstructured and Semi-structured Data Mining
• Visual analytics
• Pattern recognitionrecognition of different types of patterns
• feature extraction selection and evaluation
• structural/statistical approaches
• Computer visionimage processing
• analysis
• segmentation
• object recognition
• scene understanding
• Artificial intelligencemachine/deep learning
• expert systems
• system interpretability
• knowledge representation
• perception
• semantic analysis
• intelligent systems
• Big datadata visualization
• volume/velocity /data variety
• small sample size
• supercomputing, cloud
• data mining
• performance evaluation

Call for papers

Abstracts are due by 18 November 2026. Submission details are on the official website.