SIAM Conference on Computational Science and Engineering (CSE19)

About the Conference

Computational Science and Engineering (CSE) complement 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, including for example, aerospace, automotive, biological, chemical, and semiconductor technologies that all rely increasingly on advanced modeling and simulation. CSE also contributes to 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 CSE are of growing importance.
CSE is naturally interdisciplinary. Its goals concern understanding and analyzing complex systems, predicting their behavior, and optimizing processes and designs. CSE thus grows out of physical applications, while depending on computer architecture and software, and having at its core powerful algorithms. At the frontiers of CSE remain many open problems and challenges, including the verification, validation, and uncertainty quantification of computational models; the analysis and assimilation of large and complex data sets, including techniques for visualization and animation; and the design of flexible CSE software.

The SIAM CSE conference seeks to enable in-depth technical discussions on a wide variety of major computational efforts on large-scale 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.

Sponsored by the SIAM Activity Group on Computational Science and Engineering in cooperation with GAMM FA CSE.

Conference Co-Chairs

Jeffrey Hittinger, Lawrence Livermore National Laboratory, U.S.
Luke Olson, University of Illinois at Urbana-Champaign, U.S.
Suzanne Shontz, University of Kansas, U.S.

Organizing Committee

Katherine J. Evans, Oak Ridge National Laboratory, U.S.
Hans Johansen, Lawrence Berkeley National Laboratory, U.S.
Matthew G. Knepley, University at Buffalo, U.S.
Tamara G. Kolda, Sandia National Laboratories, U.S.
Alison Marsden, Stanford University, U.S.
Marie E. Rognes, Simula Research Laboratory, Norway
Robert Scheichl, University of Heidelberg, Germany
Andrea Walther, Paderborn University, Germany
Stefan Wild, Argonne National Laboratory, U.S.
Rebecca Willett, University of Chicago, U.S.
Rio Yokota, Tokyo Institute of Technology, Japan

Funding Agency

SIAM and the Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for their support.

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