DOCS2023: 5th International Conference on Data-driven Optimization of Complex Systems Hebei University of Technology Tianjin, China, September 22-24, 2023 |
Conference website | https://docs2023.github.io/ |
Submission link | https://easychair.org/conferences/?conf=docs2023 |
The 5th International Conference on Data-driven Optimization of Complex Systems (DOCS’2023) will be held on September 22-24, 2023 in Tianjin, China. DOCS’2023 aims to provide a high-level international forum for innovative academics and industrial experts in the related fields of data-driven optimization and its application to complex systems. The goal of the conference is to promote research in data-driven optimization, learning and control, and their applications to complex systems, and establish a forum for academia and industrial practitioners around the world to share ideas and present their recent research advances. The conference will be featured by tutorials, workshops, plenary speeches given by world-leading researchers, regular sessions with a broad coverage, and special sessions focusing on popular and emerging topics.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers: Authors are invited to submit full-length papers (nominal paper length is 6-8 A4 pages) by the submission deadline through the online submission system.The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions.
- Submission website: https://easychair.org/conferences/?conf=docs2023
List of Topics
Topics
Technical topics of the conference include, but are not limited to, the following areas:
- Topic 1: Data-driven machine learning: Dynamic big data machine learning methods and techniques, deep learning, neural architecture search, reinforcement learning, statistical relational learning, transfer learning, self-supervised learning, distributed and federated machine learning, trustworthy machine learning
- Topic 2: 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
- Topic 3: 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
- Topic 4: 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
Committees
Honorary General Chairs
- Xu Han, Hebei University of Technology
- Tianyou Chai, Northeastern University
General Chairs
- Yaochu Jin, Bielefeld University
- Junhua Gu, Hebei University of Technology
- Junping Du, Beijing University of Posts and Telecommunications
Program Committee
- Chaoli Sun, Taiyuan University of Science and Technology
- Handing Wang, Xidian University
- Zhen Xin, Hebei University of Technology
- Kay Chen Tan, The Hong Kong Polytechnic University
- Mengjie Zhang, Victoria University of Wellington
- Jinliang Ding, Northeastern University
- Wenli Du, East China University of Science and Technology
- Ling Wang, Tsinghua University
- Chunhua Yang, Central South University
- Zhigang Zeng, Huazhong University of Science and Technology
Technical Chairs
- Ran Cheng, Southern University of Science and Technology
- Ye Tian, Anhui University
- Jonathan E. Fieldsend, University of Exeter
- Barbara Hammer, Bielefeld University
- Yuhui Shi, Southern University of Science and Technology
Invited Session Chairs
- Xiaohong Zhang, Taiyuan University of Science and Technology
Publicity Chairs
- Feiyang Qin, Hebei University of Technology
- Jizhong Xu, Hebei University of Technology
Publications Chairs
- Xilu Wang, Bielefeld University
- Shufen Qin, Taiyuan University of Science and Technology
Financial Chairs
- Lei Ming, Hebei University of Technology
- Hongjuan Xie, Hebei University of Technology
Registration Chairs
- Qiqi Liu, Hebei University of Technology
Local Organization Chairs
- Liang Yang, Hebei University of Technology
- Qing Liu, Hebei University of Technology
Publication
Accepted full-length papers will be included in IEEE Xplore Digital Library and will be indexed by EI. Selected high-quality papers will be invited to be submitted to journal special issues after a substantial extension.
Venue
The conference will be held in Hebei University of Technology in Tianjin City, China
Contact
All questions about submissions should be emailed to szu_lqq@163.com