The Imaging and Computing Group (ICG) studies inverse problems related to wave scattering and high-frequency data.
The group‘s research directions include computational wave propagation, fast numerical algorithms, applied harmonic analysis, nonlinear signal processing, convex optimization, and the mathematics of sparse and separated expansions. The problems we consider are often motivated by real-life challenges in seismic and radar imaging.
We are always on the lookout for talented people to join the group!
Convex recovery from interferometric measurements. We show a deterministic stability result for the recovery of vectors from interferometric measurements, which have important applications in model-robust ...read more
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
November 27, 2013
Announcing PySIT: Python Seismic Imaging Toolbox v0.5. Check pysit.org.
Welcome to Vlad Voroninski and Shev MacNamara. Congrats to Jiawei Chiu for a great Ph.D. thesis.
Updated November, 2013
Current Job Posting - One postdoc position in computational mathematics and imaging still open. One summer intern position. See the openings page for descriptions.