IEEE BigDataService 2024
The 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications
July 15-18, 2024 | Shanghai, China
Scope
As computing systems become increasingly larger, more complex, distributed, and integrated, Big Data technologies and services are ever more vital. The 10th IEEE International Conference on Big Data Computing Service and Machine Learning Applications ( IEEE BigDataService 2024) 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 will be held in person and will take place in Shanghai, China on the 15-18 July 2024. It will consist of a main track with several topics of interest; it seeks the submission of high-quality papers in the IEEE format: full papers (up to 8 pages), short/demo papers (up to 5 pages), and posters (2 pages). The conference also welcomes workshop proposals. All accepted papers will be included in the proceedings. Selected papers will be invited to submit extended versions in a special issue of a peer-reviewed (SCI-Indexed) journal.
- Call for Papers
- Submission deadline: April 7, April 21, 2024 (AoE)
- General Inquiries:
- fujioka@fit.ac.jp (Hiroyuki Fujioka)
- katerina.potika@sjsu.edu (Katerina Potika)
- yanjunchi@sjtu.edu.cn (Junchi Yan)
News
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Special Issues
Best papers presented at BDS 2024 will be invited to publish an extended version of their contribution in an international journal's special issue.
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Important Dates (AoE)
Workshop proposals: March 3, 2024
Abstract submission: March 31, 2024 April 7, 2024
Full, short, demo, and poster papers submission: April 7, 2024 April 21, 2024
Notification of acceptance: May 15, 2024 May 29, 2024
Registration: May 22, 2024 June 5th, 2024
Final Paper and Registration: May 22, 2024 June 5th, 2024
Conference: July 15-18, 2024
Xiaoli Li, Professor, IEEE Fellow
Institute for Infocomm Research, Singapore
Powering Real-World Transformation with Big Data and Machine Learning
This presentation introduces some impact of big data and machine learning across crucial industries such as manufacturing, semiconductor, transportation, finance, and aerospace.
Beginning with manufacturing and aerospace, experience firsthand how AI-driven time series analytics emerge as transformative tools, enabling predictive maintenance and condition monitoring. Discover how these advancements optimize operations, minimize downtime, and elevate productivity to unprecedented levels. Moving on to semiconductor applications, witness how AI becomes indispensable in optimizing Design of Experiments (DOE) and detecting defects in 3D structures. Uncover how these applications uphold the high standards of product quality and reliability, driving innovation and competitiveness to new heights. In transportation, a new era unfolds with AI’s intervention, where predictive modeling and real-time analytics revolutionize safety and efficiency. Explore the interesting mechanisms behind smart traffic light management systems ensuring seamless traffic flow and alleviating congestion. In finance, witness a paradigm shift as AI-driven HR analytics redefine talent management, empowering proactive strategies to retain top talent. Explore predictive models that forecast employee attrition, enabling organizations to cultivate a stable and motivated workforce.
Embark on a journey to uncover how AI and data science are reshaping industries, igniting innovation, and paving the way for real-world transformation.
More keynote speakers from our congress can be found at https://ieee-cisose-congress.org/keynote-speakers/
(Note: IEEE BigDataService 2024 is part of the IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE 2024), which groups six conferences that cover the whole range of Service-Oriented System Engineering and its Applications, from Artificial Intelligence and Big Data to Distributed, Cloud and Mobile systems.)