Computational Science and Engineering (CS&E) is now widely accepted, along with theory and experiment, as the critical third pillar of scientific discovery. It is indispensable for leading edge investigation and engineering design in a vast number of industrial sectors, including for example, aerospace, automotive, biological chemical, and semiconductor technologies that all rely increasingly on advanced modeling and simulation. CS&E has also become essential at government agencies for informing policy and decisions relating to human health, resources, transportation, and defense. Finally, in many new areas such as medicine, the life sciences, management and marketing (e.g. data- and stream mining), and finance, techniques and algorithms from CS&E are of growing importance.
CS&E is by nature interdisciplinary. Its goals concern understanding and analyzing complex systems, predicting their behavior, and eventually optimizing processes and designs. CS&E thus grows out of physical applications, while depending on computer architecture, and having at its core powerful algorithms. At the frontiers of CS&E there remain many open problems and challenges, including for example, the validation and verification of computational models especially in the presence of uncertainties and the analysis and assimilation of very large data sets, including techniques for visualization and animation.
The SIAM CS&E conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large problems in science and engineering, foster the interdisciplinary culture required to meet these large-scale challenges, and promote the training of the next generation of computational scientists.
presented by Emily A. Carter
74 sessions presented by 188 speakers
425 Summer Street, 02210