The Imaging and Computing Group (ICG) studies the mathematical and numerical challenges of inverse wave scattering.
The group‘s research directions include applied analysis (harmonic, microlocal), computational wave propagation, fast numerical algorithms, optimization methods, and sparse and separated expansions for data representation. Many of the problems we try to solve are inspired from seismic and radar imaging.
We are always on the lookout for talented people to join the group!
Matrix probing: randomized fitting for the wave-equation Hessian. What can be determined about the pseudoinverse pinv(A) of a matrix A from one application of A to a vector of random entries? A ...read more
A butterfly algorithm for synthetic aperture radar imaging. We propose what is perhaps the first O(N log N) controlled-accuracy algorithm for SAR imaging. We use the butterfly scheme, an alternative to the FFT ...read more
Wave computation with Fourier integral operators. We propose a new time upscaling method to avoid the CFL condition for acoustic wave propagation in a smooth heterogeneous medium, by numerically representing ...read more
News and Events
Welcome to Nam Nguyen!
Updated September, 2012
MIT undergraduates: a possible UROP project for this semester.
Updated October, 2012
Current Job Posting - One postdoc position in computational mathematics and imaging. One summer intern position. See the openings page for descriptions.