Call for Papers IEEE Big Data Services 2026,

Fukuoka, Japan, July 27-30, 2026, as part of the CISOSE 2026 congress

• Paper submission deadline: April 1st, 2026
• Author’s notification: May 20, 2026
• Final paper submission (camera-ready) and conference registration: June 15, 2026
• Conference dates: July 27-30, 2026
• web site: https://cisose.fit.ac.jp/bds/index.php/call-for-papers/
• submitssion: https://easychair.org/conferences/?conf=ieeebds2006
• IEEE CISOSE Congress: https://cisose.fit.ac.jp/2026/

As computing systems grow in scale, complexity, and integration, Big Data technologies and services have become more critical than ever. IEEE BigDataService 2025 serves as a premier international forum for researchers and practitioners from academia and industry to exchange cutting-edge ideas, share innovative research, and discuss real-world applications and challenges in the field.

The conference will be held in person in Fukuoka, Japan, July 27-30, 2026, as part of the CISOSE 2026 congress.

Topics Of Interest

Topics of interest include (but are not limited to) the following:

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

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Regular/Full papers (up to 8 pages, IEEE double-column format)
• Short papers (up to 5 pages, IEEE double-column format)
• Posters (2 pages, IEEE double-column format)
• Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
• Submit on easyChair: https://easychair.org/account2/signin?l=7200542305463266037 

Proceedings
IEEE BigDataService 2026 proceedings will be published by IEEE.

General Chairs: Iraklis Varlamis (Harokopio University of Athens, Greece), Magdalini Eirinaki (San Jose State University, USA), Hiroyuki Fujioka (Fukuoka Institute of Technology, Japan)

Program Chairs: Katerina Potika (San Jose State University, USA), Paolo Nesi (University of Florence, Italy), Akinori Hidaka (Tokyo Denki University, Japan)

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