IEEE 2024 6th International Conference on Data-driven Optimization of Complex Systems (DOCS 2024) will be held in Hangzhou, China on August 16-18, 2024.
Dates: August 16-18, 2024
Venue: Hangzhou, China
Email: [email protected]
Event Format: Hybrid (In-person and Virtual)
Conference Website: https://ais.cn/u/3M3IR3
---Call for papers---
The topics of interest for submission include, but are not limited to:
- Data-driven Learning
· Artificial intelligence ( AI )
· Deep learning
· Reinforcement learning
· Transfer learning
· Self-supervised learning
......
- Data-driven optimization and decision-making :
· Data-driven optimization algorithms
· Bayesian optimization
· Neural combinatorial optimization
· Large-scale and multi-objective optimization
· Integration of machine learning and Optimization
......
- Data-driven modeling and control
· Learning and adaptive control
· Robust control
· Intelligent control
· Optimal control based on optimization
· Model predictive control
......
- Big data analysis and application
· Big data storage and mining
· Data coordination
· Integration and processing
· Big data analysis and measurement
· Multi-source big data fusion theory and method
......
--- Keynote Speakers---
Prof. Qinghua Zheng,TongJi University, China
Zhengyou Zhang,Chief Scientist of Tencent AI Lab, China
Prof. Zhen Wang, IEEE Fellow,University of British Columbia, Canada
---Publication---
All papers, both invited and contributed, the accepted papers, will be published by IEEE and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.
---Important Dates---
Paper Submission Date: June 15, 2024
Notification of Acceptance: June 30, 2024
Camera-Ready Submission: July 15, 2024
Early Bird Registration: July 31, 2024
Conference Date: August 16-18, 2024
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
https://ais.cn/u/3M3IR3
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