Call for Papers - IEEE BigDataService 2026
12th IEEE International Conference on Big Data Computing Service and Machine Learning Applications

Conference Dates: July 27–30, 2026
Location: Fukuoka Institute of Technology, Fukuoka, Japan (In-Person)
Part of: CISOSE 2026 Congress
Conference Website: https://cisose.fit.ac.jp/bds/
Paper Submission Site: https://easychair.org/conferences/?conf=ieeebds2006

Important Dates
• Paper Submission Deadline: April 1, 2026
• Author Notification: May 20, 2026
• Camera-Ready Papers & Registration: June 15, 2026
• Conference Dates: July 27–30, 2026

Conference Overview
IEEE BigDataService 2026 provides a premier international forum for researchers, practitioners, and industry experts to exchange cutting-edge ideas, present innovative research results, and discuss real-world applications and challenges in Big Data technologies and services.

The conference will be held in person in Fukuoka, Japan, from July 27 to July 30, 2026. It welcomes high-quality, original contributions that advance the state of the art in Big Data analytics, machine learning, platforms, foundations, and applications.

Topics of Interest
Topics include, but are not limited to:

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 for big data
• Knowledge discovery, modeling, and presentation
• Business intelligence and optimization models
• Artificial intelligence models at scale
• Large language models and neuro-symbolic approaches

Integrated and Distributed Systems
• Sensor networks
• Internet of Things (IoT) and Web of Things
• Networking and communication protocols
• Smart systems (e.g., smart homes, smart farms, smart energy systems)

Big Data Platforms and Technologies
• Scalable and concurrent big data platforms
• Data indexing, cleaning, transformation, and curation
• Big data processing frameworks
• Big data services and application development tools
• Quality evaluation, reliability, and dependability
• Open-source big data technologies
• Big Data as a Service (BDaaS) platforms

Big Data Foundations
• Theoretical and computational models
• Programming models, algorithms, and standards
• Protocols and quality assurance for big data

Big Data Applications and Experiences
• Applications in healthcare, finance, transportation, agriculture, education, environment, multimedia, social networks, smart cities, disaster management, and security
• Case studies and real-world deployments
• Large-scale big data system practices

Submission Guidelines
All submissions must present original research and must not be under review or published elsewhere. Papers must follow the IEEE double-column format.

Submission Categories
• Regular/Full Papers: up to 8 pages
• Short Papers: up to 5 pages
• Poster Papers: 2 pages

Submit papers via EasyChair:
https://easychair.org/conferences/?conf=ieeebds2006

Proceedings
All accepted papers will be published in the IEEE BigDataService 2026 Proceedings and submitted for inclusion in the IEEE Digital Libraries.

Conference Organization

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

Publicity Chairs
• Jing Fu, Fukuoka Institute of Technology, Japan
• Chia Kai Chang, National Central University, Taiwan