Call for Submissions: IEEE Big Data Service 2026

Conference dates: 27-30 July, 2026 | Fukuoka, Japan

The 12th IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService 2026) provides an internationally leading forum for researchers and practitioners in academia and industry to exchange innovative ideas and share the latest results, experiences, and lessons learned in this crucial domain.

Learn More

Why Participate?

Share your work with international experts and peers, and gain valuable feedback

Opportunities

Present your emerging ideas and applications
Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
Utilize your platform to share new advances, ideas, and solutions
Highlight your contributions
Contribute to event programming and technical content
Experience groundbreaking workshops, special sessions, and panels

Topics

Big Data Analytics and Machine Learning

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
Large language models
Neuro-symbolic approaches at large scale

Integrated and Distributed Systems

Sensor networks
Internet of Things, web of things
Networking and protocols
Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)

Big Data Platforms and Technologies

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
Big data system reliability, dependability, and availability
Open-source development and technology for big data
Big Data as a Service (BDaaS) platform and technologies

Big Data Foundations

Foundational theoretical or computational models for big data
Programming models, theories, and algorithms for big data
Standards, protocols, and quality assurance for big data

Big Data Applications and Experiences

Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, social networks, urban planning, disaster management, security
Experiences and case studies of big data applications and services
Real-world and large-scale practices of big data

Submit Your Content

In addition to submitting your paper to IEEE BigDataService 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE’s data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!