SIAM Conference on Computational Science and Engineering (CSE27)

About The Conference

This is the conference of the SIAM Activity Group on Computational Science and Engineering.

The following conference and workshop will be held jointly:
SIAM Conference on Applied and Computational Discrete Algorithms (ACDA27)
SIAM International Meshing Roundtable Workshop 2027 (IMR27)

Computational Science and Engineering (CSE) complements theory and experiment as a critical component of scientific discovery. CSE is indispensable for leading-edge investigation and engineering design in a vast number of industrial sectors that all rely increasingly on advanced modeling, simulation, and the use of data. CSE also contributes to policy and decisions in many domains, including human health, resources, transportation, and defense.

CSE is naturally interdisciplinary. Its goals concern understanding and analyzing complex systems, predicting their behavior, and optimizing processes and designs. CSE blends applications, computer architecture and software, algorithms, and mathematical models. Current CSE challenges include the safe deployment, explainability, and theoretical understanding of AI; the analysis, visualization, and assimilation of large and complex data sets; and the design of scalable, flexible, open, and robust CSE software.

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Included Themes

• AI agents and generative models for CSE
• Biological and biomedical applications
• Combinatorial scientific computing
• CSE education and training
• CSE in industry
• CSE software
• Digital twins
• High-performance computing
• Integral equations and partial differential equations
• Inverse problems and uncertainty quantification
• Linear and nonlinear solvers
• Numerical control and optimization
• Quantum algorithms for scientific computing
• Reduced-order modelling
• Scientific machine learning