Int'l Conference on Computational Science and Numerical Algorithms (CSMA 2022)

Conference Date: May 27-29, 2022
Conference Venue: Xi'an, China
Website: https://www.maymeeting.org/conference/CSMA2022/
Online Registration System: https://www.maymeeting.org/RegistrationSubmission/default.aspx?ConferenceID=1475
Email: [email protected]

Int'l Conference on Computational Science and Numerical Algorithms (CSMA 2022) will be held in Xi'an, China, during May 27-29, 2022. The aim of CSMA is to provide a stage for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Applications of computational science, Problem solving environments, Complex systems: modeling and simulation, Web and grid based simulation and computing, Linear and nonlinear programming, Advanced computing architectures and new programming models, Computational humanities, etc. CSMA 2022 will be a valuable and important platform for inspiring international and interdisciplinary exchange at the forefront of Computational Science and Numerical Algorithms. 

If you wish to serve the conference as an invited speaker, please send email to us with your CV. We'll contact with you asap.

Publication and Presentation

Publication: Open Access Journal，please contact us for detailed information
Index: CNKI and Google Scholar
Note: If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract to our Registration System.

Contact Us

Email: [email protected]
Tel: +86 132 6470 2250 (From Monday to Friday)
QQ: 1349406763 
WeChat: 3025797047
Official Account: Academic Communications

Attendance Methods

1.Submit full paper (Regular Attendance+Paper Publication+Presentation)
You are welcome to submit full paper, all the accepted papers will be published by Open access journal.
2. Submit abstract (Regular Attendance+Abstract+Presentation)
3. Regular Attendance (No Submission Required) 

Conference Topics

Applications of computational science
Problem solving environments
Advanced numerical algorithms
Complex systems: modeling and simulation
Hybrid computational methods
Web and grid based simulation and computing
Parallel and distributed computing
Linear and nonlinear programming
Systems of nonlinear equations
Advanced computing architectures and new programming models
Visualization and virtual reality as applied to computational science
Applications of computation as a scientific paradigm
New algorithmic approaches to computational kernels and applications
Computational humanities
Probabilistic computation
Computational complexity, economics, geometry
Education in computational science
Computational methods, algorithms and scientific application
Large scale scientific instruments
Computational sociology
Computational geometry
Computational mathematics
Medical and biomedical computational science