WELCOME TO
DSMSAI 2027
Fuzhou, China | April 23-25, 2027
2027 International Conference on Data Science, Modeling and Simulation, and Artificial Intelligence
Countdown to the Conference:
About DSMSAI 2027
The 2027 International Conference on Data Science, Modeling and Simulation, and Artificial Intelligence (DSMSAI 2027) will be held in Fuzhou, China, from April 23 to 25, 2027. DSMSAI 2027 aims to bring together leading academic scientists, researchers, and scholars to exchange and share their experiences and research findings on various aspects ofdata science, modeling and simulation, and artificial intelligence. This conference provides an outstanding interdisciplinary platform for researchers, practitioners, and educators to present and discuss the latest innovations, trends, concerns, practical challenges, and solutions adopted in the fields ofdata science, modeling and simulation, and artificial intelligence. Submissions are welcome, and we invite you to participate in DSMSAI 2027 and explore the latest advancements and breakthroughs in Fuzhou.
Important Dates
Full Paper
Submission Date
February
09
2027
Notification of
Acceptance Date
March
09
2027
Final Paper
Submission Date
March
24
2027
Registration
Deadline
April
08
2027
Conference
Dates
April
23-25
2027
Sponsored by
 |
☛ Call For Papers
☛ Submission
☛ Publication
Call For Papers
The topics of interest for submission include, but are not limited to:
📚︎1. Data Science and Big Data Technology
Fundamentals of Data Science; Big data architecture; Data Mining and Knowledge Discovery; Data Visualization and Analysis; Data governance and ethics; Data Engineering and Integration; Multimodal Data Management; Time series and spatial data analysis; Data Engineering for Artificial Intelligence
📚︎2. Modeling and Simulation
Computational Modeling and Simulation; High performance and parallel simulation; Model validation and uncertainty quantification; Hybrid modeling method; Simulation in Engineering and Science; Complex system modeling; Physical information modeling; Real-time simulation and digital twin; Sim2Real and Transfer Learning
📚︎3. Artificial Intelligence and Intelligent Systems
Basic model and big language model; Agent AI and multi-agent systems; World model and generative simulation; Deep learning and neural networks; Generative AI; Explainable AI and trusted artificial intelligence; Reinforcement learning; Computer Vision and Pattern Recognition; Natural language processing; Edge AI and distributed intelligence
📚︎4. Other Related Topics
Digital twin driven by artificial intelligence; Artificial intelligence for modeling and simulation (AI for M& S); Data Science and Artificial Intelligence for Scientific Discovery (AI4S); Data Synthesis and Data Enhancement; Space intelligence and physical artificial intelligence; Intelligent reality and meta-universe applications; Composite AI system and AI orchestration; Artificial intelligence governance security and ethics; Industrial Artificial Intelligence and Intelligent Systems; Edge intelligent analysis
Submission
1. The submitted papers must not be under consideration elsewhere.
2. Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
3. Please submit the full paper, if both presentation and publication are needed.
4. Please submit the abstract only, if you just want to make presentations.
5. Download Templates:
6. Should you have any questions or need any materials in English, please contact us.
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 will be published in the conference Proceedings, and it will be submitted to EI Compendex and Scopus for indexing.
Note: 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 academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.