Inverse Problems and Imaging
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More about inverse problems and imaging
Research topics include
- Partial differential equations
- Computer vision
- Signal processing
- Data analysis
- Machine learning
- Numerical methods for partial differential equations
- Anthropology
- Medical imaging
- Cryo-electron microscopy
- Geophysics
- Nondestructive testing
Seminars
- Applied and Computational Mathematics weekly seminar series
- Data Science weekly seminar series
Faculty

Jeffrey Calder
Associate Professor
[email protected]
partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision


William Leeb
Associate Professor
[email protected]
applied mathematics, computational harmonic analysis, signal and image processing, data analysis

Gilad Lerman
Professor
[email protected]
computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics

Yulong Lu
Assistant Professor
[email protected]
Mathematical foundations of machine learning and data sciences, applied probability and stochastic dynamics, applied analysis and PDEs, Bayesian and computational statistics, inverse problems and uncertainty quantification

Peter Olver
Professor
[email protected]
Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics

Fadil Santosa
Professor Emeritus
[email protected]
applied mathematics and modelling, optimization, imaging
