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
Professor
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partial differential equations, numerical analysis, applied probability, machine learning, image processing and computer vision
William Leeb
Associate Professor
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applied mathematics, computational harmonic analysis, signal and image processing, data analysis
Gilad Lerman
Professor
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computational harmonic analysis, analysis of large data sets and statistical learning, bio-informatics
Yulong Lu
Assistant Professor
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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
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applied mathematics and modelling, optimization, imaging