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. 2013 Edition of the Society for Industrial Applied Mathematics (SIAM) Conference on Computational Science and Engineering (CSE13) will take place in Boston, Massachusetts, US from February 25 to March 1, 2013.
- Multiphysics and Multiscale Computations
- Identification, Design, and Control
- Surrogate and Reduced-order Modeling
- Verification, Validation, Uncertainty Quantification
- Discrete Simulations
- Scientific Data Mining
- Scalable Algorithms for Big Data
- Simulations on Emerging Architectures
- Exascale Challenges
- Scientific Software and High-Performance Computing
- Applications in Science, Engineering, and Industry
- Computational Mathematics of Planet Earth
- CSE Education
A Facebook link to RSVP to the conference, connect with other attendees and find roommates will be available in November 2012. If you are tweeting about the conference, please use the designated hashtag to enable other attendees to keep up with the Twitter conversation and to allow better archiving of our conference discussions. The hashtag for this meeting is #SIAMCSE13.
Organizing Committee Co-chairs
- Karen Willcox, Massachusetts Institute of Technology (USA)
- Hans Petter Langtangen, Simula Research Laboratory and University of Oslo (Norway)
- Omar Ghattas, University of Texas at Austin (USA)
- Lutz Gross, University of Queensland (Australia)
- Michael A. Heroux, Sandia National Laboratories (USA)
- Morten Hjorth-Jensen, Michigan State University (USA) and University of Oslo (Norway)
- David Keyes, KAUST (Saudi Arabia)
- Randall J. LeVeque, University of Washington (USA)
- Kengo Nakajima, University of Tokyo (Japan)
- Luke Olson, University of Illinois at Urbana-Champaign (USA)
- Fernando Perez, University of California, Berkeley (USA)
- Gianluigi Rozza, École Polytechnique Fédérale de Lausanne (Switzerland)
- Volker Schulz, University of Trier (Germany)
- Valeria Simoncini, Universita' di Bologna (Italy)