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 Tucson, Arizona, United States from July 21-24, 2025, as part of the CISOSE 2025 congress.

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)

List of Topics (including but 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 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 

Committees

General Chairs

• Iraklis Varlamis, Harokopio University of Athens, Greece
• Muhammad Younas, Oxford Brookes University, U.K. 
• Fanjing Meng, Lenovo, China

Program Chairs

• William Andreopoulos, San Jose State University, USA
• Paolo Nesi, University of Florence, Italy
• Xiao Tian Xu, Beijing Urban Construction Intelligent Control, China

Publication

BigDataService 2025 proceedings will be published as IEEE proceedings.

Venue

The conference will be held in Tucson, Arizona.

Contact

All questions about submissions should be emailed to varlamis@hua.gr