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About us

The 12th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService 2026) is a premier international forum for researchers, practitioners, and industry experts to exchange cutting-edge ideas, present innovative research, and discuss real-world applications and challenges in Big Data technologies and services. The conference will be held in person in Fukuoka, Japan, as part of the CISOSE 2026 Congress. It focuses on Big Data analytics, systems, platforms, foundations, and applications.

Important Dates

Mon, Apr 13, 2026
Paper Submission Deadline
Wed, May 20, 2026
Author Notification
Mon, Jun 15, 2026
Camera-Ready Papers & Conference Registration

Paper Submission

Research Paper Submission Tracks

Sensor Networks
Large Language Models
Big data analytics and ml
Big data foundations
Big data and artificial intelligence
Big data applications and experiences
Algorithms and systems for big data analytics
Big data machine learning, predictive and causal analytics
Visualization and visual analytics systems for big data
Knowledge modeling, extraction, discovery, analysis, and presentation
Big data business intelligence
Optimization and agentic models for big data
Artificial intelligence models at scale
Neuro-symbolic approaches at large scale
Internet of Things (IoT) and Web of Things
Networking and communication protocols
Smart systems (e.g., energy efficiency systems, smart homes, smart farms)
Innovative, concurrent, and scalable big data platforms
Data indexing, cleaning, transformation, and curation technologies
Big data processing frameworks and technologies
Big data services and application development methods and tools
Big data quality evaluation and assurance technologies
System reliability, dependability, and availability for big data systems
Open-source development and technologies for big data
Big Data as a Service (BDaaS) platforms and technologies
Foundational theoretical or computational models for big data
Programming models, theories, and algorithms for big data
Standards, protocols, and quality assurance for big data
Innovative big data applications and services across domains such as healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, and security
Experiences and case studies of big data applications and services
Real-world and large-scale practices of big data systems

Call for Papers Description

All submissions must present original research and must not be under review or published in any other journal or conference. Papers should be prepared using the IEEE double-column format. The conference invites submissions in the following categories: Regular/Full Papers (up to 8 pages), Short Papers (up to 5 pages), and Poster Papers (2 pages).

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