IEEE 2025 7th International Conference on Data-driven Optimization of Complex Systems (DOCS 2025)

Dates: August 19-21, 2025
Venue: Taiyuan, China
Event Format: Hybrid (In-person and Virtual)

Conference Website: https://ais.cn/u/zQjYJb

Call for Papers

The topics of interest for submission include, but are not limited to:

• Data-driven Learning

  • Deep learning
  • Reinforcement learning
  • Transfer learning
  • Self-supervised learning
  • Distributed and federated machine 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

Publication

All accepted papers, both invited and contributed, will be published by IEEE and submitted for inclusion into IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality requirements. They will also be submitted to EI Compendex and Scopus for indexing. All conference proceedings papers must be at least 6 pages long.

Important Dates

• Paper Submission Date: June 22, 2025
• Notification of Acceptance: July 15, 2025
• Camera-Ready Submission: July 22, 2025
• Early Bird Registration: July 20, 2025
• Conference Date: August 19-21, 2025

Paper Submission

Please send the full paper (Word + PDF) to the Submission System:
https://ais.cn/u/zQjYJb