Paper Submission Deadline
June 22, 2025
Notification of Acceptance
July 15, 2025
Camera-Ready Submission
July 22, 2025
Early Bird Registration
July 31, 2025
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 We encourage interested authors to submit previously unpublished contributions from a broad range of including but not limited to the following.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.
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.
Please send the full paper(word+pdf) to Submission System:
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.
Weihua Gui
Central South University
Weiguo Liang
Taiyuan University of Science and Technology
Lixin Tang
Northeastern University
Yaochu Jin
Westlake University
Gang Xie
Taiyuan University of Science and Technology
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
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
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
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
Shufen Qin
Taiyuan University of Science and Technology
Hao Wang
Taiyuan University of Science and Technology
Haibo Yu
North University of China
Chang Liu
Shenyang Institute of Automation, Chinese Academy of Sciences
Xinjie Zhang
Shanghai Jiuzhang Intelligent Technology Co., Ltd.
The IEEE Ethics Reporting link: https://secure.ethicspoint.com/domain/media/en/gui/20410/index.html