== CALL FOR PAPERS ==

IEEE BigDataService 2023:
The 9th IEEE International Conference on Big Data Computing Service and Machine Learning Applications
July 17-20, 2023, Athens, Greece
Conference website: https://ieeebigdataservice.com

Scope:
As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. IEEE BigDataService 2023 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. The conference is part of IEEE CISOSE 2023 congress.

Important Dates
• Workshop proposals: March 25th, 2023 (AoE)
• Abstract submission: April 15th, 2023 (AoE)
• Full, short, demo, and poster papers submission: April 22nd, 2023 (AoE)
• Notification of acceptance: May 22nd, 2023 (AoE)
• Final Paper and Registration: May 29th, 2023 (AoE)
• Conference: July 17th-20th, 2023
Topics of Interest (Including but not limited to):
 Big Data Analytics and Machine Learning
• Algorithms and systems for big data search and analytics
• Machine learning for big data and based on big data
• Predictive analytics and simulation
• Visualization systems for big data
• Knowledge extraction, discovery, analysis, and presentation
 Integrated and Distributed Systems
• Sensor networks
• Internet 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
Particular attention will be dedicated to the following special topics:
 Special Topic 1: Real-time Big Data Services and Applications
• Models, algorithms, and technologies for real-time big data services and applications
• Experiences, practices and case studies of real-time big data services and applications
 Special Topic 2: Big Data Security, Privacy, Trust, and Sustainability
• Models, algorithms and technologies for big data security and privacy
• Attacks and defenses for big data services
• Privacy-preserving processing of big data and Big Data for Security and Privacy Analysis
• Energy-aware big data storage, transfer, and usage
• AI-continuum (e.g., cloud, edge, sensors) for sustainable big data services
 Special Topic 3: Big Data and Analytics for Healthcare
• Models, algorithms, and technologies of big data for healthcare
• Big data services and applications for healthcare
• Experiences, practices, and case studies of big data technologies for healthcare
Paper Submission
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
Full research papers are limited to 8 pages, short research papers and demo papers are limited to 5 pages, and posters are limited to 2 pages. Authors must submit their papers at the Easychair link: https://easychair.org/account/signin?l=8kty2oCeqcsgXtErsrqNUS
Paper Publication
All accepted papers will be published by IEEE Computer Society Press (EI‐Index) and included in IEEE Digital Library. For publication, at least one author is required to register at the full rate and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library. Selected papers will be invited for extension and published in journals (SCI-Index).

Contact Info:
• General Inquiries: bds2023@easychair.org
• Web Chair: kulla@fit.ac.jp (Elis Kulla)