The SIAM Activity Group on Imaging Science brings together SIAM members and other scientists and engineers with an interest in the mathematical and computational aspects of imaging. The reconstruction, enhancement, segmentation, analysis, registration, compression, representation, and tracking of two and three dimensional images are vital to many areas of science, medicine, and engineering. These techniques include transform and orthogonal series methods, nonlinear optimization, numerical linear algebra, integral equations, partial differential equations, Bayesian and other statistical inverse estimation methods, operator theory, differential geometry, information theory, interpolation and approximation, inverse problems, computer graphics and vision, stochastic processes, and others. The SIAM Activity Group on the Life Sciences was established to foster the application of mathematics to the life sciences and research in mathematics that leads to new methods and techniques useful in the life sciences. The life sciences have become quantitative as new technologies facilitate collection and analysis of vast amounts of data ranging from complete genomic sequences of organisms to satellite imagery of forest landscapes on continental scales.
Computers enable the study of complex models of biological processes.
The activity group brings together researchers who seek to develop and apply mathematical and computational methods in all areas of the life sciences. It provides a forum that cuts across disciplines to catalyze mathematical research relevant to the life sciences and rapid diffusion of advances in mathematical and computational methods. John Guckenhiemer, Chair SIAM Activity Group on Linear Algebra Promotes research in linear algebra and its application. Organizes regular conferences such as the SIAM Conference on Linear Algebra in Signals, Systems, and Control and the triennial SIAM Conference on Applied Linear Algebra, and supports smaller, less formal conferences such as recent meetings on sparse matrices, Markov chains and matrix theory, as requested by the membership. Every three years it awards a prize for the best paper in linear algebra.