Welcome to the official website of The 7th International Conference on Data-driven Optimization of Complex Systems （DOCS 2025）.

The 7th International Conference on Data-driven Optimization of Complex Systems （DOCS 2025） warmly invite submissions from researchers practitioners and academics in the expansive field related to data-driven optimization of complex systems. We encourage interested authors to submit previously unpublished contributions from a broad range of including but not limited to the following.

● Data-driven Learning: Deep learning reinforcement learning transfer learning self-supervised learning distributed and federated machine learning trustworthy machine learning generative models large language models （LLMs） automated verification of LLMs coordination between small and large models AI for science and engineering AI for education and society AI for art secure AI;

● 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   decision  paradigm   intelligent   scheduling reinforcement learning for combinatorial optimization distributed and federated optimization industrial and manufacturing system analysis and decision-making;diffusion models for optimization LLM-assisted optimization;

● Data-driven Modeling and Control: Learning and adaptive control robust control intelligent control optimization-based and optimal control model predictive control fault detection and identification hybrid intelligent systems neural control fuzzy logic control networked control industrial automation intelligent transportation systems environmental monitoring and control intelligent manufacturing systems green communication systems;

● Big Data Analysis and Application: Big data storage and mining data coordination integration and processing big data analytics and metrics theory and methods of multi-source big data fusion data base management systems big data service big data-oriented cloud computing technology privacy preserving big data analysis visual city data analysis intelligent transportation data analysis healthcare data analysis bioinformatics.

Paper Submission Deadline：June 22 2025

Notification of Acceptance：July 15 2025

Camera-Ready Submission：July 22 2025

Early Bird Registration：July 20 2025

Committee

· Honorary Chairs

Weihua Gui-Central South University、Academician of Chinese Academy of Engineering

Weiguo Liang-President of Taiyuan University of Science and Technology

Lixin Tang-Vice President of Northeastern University、Academician of Chinese Academy of Engineering、IEEE Fellow

· General Chairs

Yaochu Jin-Westlake University、Member of Academia Europaea IEEE Fellow IEEE CIS President

Gang Xie-Vice President of Taiyuan University of Science and Technology

· PC Chairs

Zhihua Cui-Taiyuan University of Science and Technology

Jon Garibaldi-University of Nottingham Ningbo China

Bing Xue-Victoria University of Wellington

Chunhua Yang-Central South University

Mengjie Zhang-Victoria University of Wellington

Xingyi Zhang-Anhui University

Qiqi Liu-Westlake University

· TPC Chairs

Ying Bi-Zhengzhou University

Weineng Chen-South China University of Technology

Chaoli Sun-Taiyuan University of Science and Technology

Ye Tian-Anhui University

Jian Wang-China University of Petroleum

Dawei Zhan-Southwest Jiaotong University

· Publication Chairs

Cheng He-Huazhong University of Science and Technology

Lihu Pan-Taiyuan University of Science and Technology

Handing Wang-Xidian University

Guo Yu-Nanjing Tech University

Peng Yue-Westlake University

Yuping Yan-Westlake University

· Publicity Chairs

Miqing Li-University of Birmingham

Ke Li-University of Exeter

Yi Mei-Victoria University of Wellington

Xinjie Wang-Hangzhou Normal University

Haoyu Zhang-Hangzhou Normal University

· Local Organization Chairs

Shufen Qin-Taiyuan University of Science and Technology

Hao Wang-Taiyuan University of Science and Technology

Haibo Yu-North University of China

· Enterprise Competition Committee Chairs

Chang Liu-Shenyang Institute of Automation Chinese Academy of Sciences

Xinjie Zhang-Shanghai Jiuzhang Intelligent Technology Co. Ltd.

CFP

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
• · Trusted machine learning
• · Generative models
• · Large language models （ LLMs ）
• · Automatic verification of LLMs
• · Coordination of small and large models
• · AI for science and engineering
• · AI for education and society
• · AI for art
• · Secure AI

■ 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 decision paradigm
• · Intelligent scheduling
• · Reinforcement learning of combinatorial Optimization
• · Distributed and joint optimization
• · Industrial and manufacturing system analysis and decision-making
• · Diffusion models for optimization
• · LLM-assisted optimization

■ Big data analysis and application

• · Big data storage and mining
• · Data coordination
• · Integration and processing
• · Big data analytics and metrics
• · Theory and methods of multi-source big data fusion
• · Database management system
• · Big data service
• · Big data oriented cloud computing technology
• · Privacy preserving big data analysis
• · Visual city data analysis
• · Intelligent transportation data analysis
• · Healthcare data analysis
• · Bioinformatics

■ Data-driven modeling and control

• · Learning and adaptive control
• · Robust control
• · Intelligent control
• · Optimization-based and optimal control
• · Model predictive control
• · Fault detection and identification
• · Hybrid intelligent system
• · Neural control
• · Fuzzy logic control
• · Networked control
• · Industrial automation
• · Intelligent transportation system
• · Environmental monitoring and control
• · Intelligent manufacturing system
• · Green communication system

· Submission & Publication

All papers both invited and contributed will be reviewed by two or three experts from the committees. After a careful reviewing process all accepted papers of DOCS 2025 will be published by conference proceedings and it will be submitted to EI Compendex and Scopus for indexing.

The use of artificial intelligence （AI）-generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text.

All submitted articles should report original research results experimental or theoretical not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.