Stanley Osher
From Wikipedia, the free encyclopedia
Stanley Osher (b. 1942) is an American mathematician, known for his many contributions in shock capturing, level set methods, and PDE-based methods in computer vision and image processing. Osher is a professor at the University of California, Los Angeles (UCLA) and Director of Special Projects in the Institute for Pure and Applied Mathematics (IPAM).
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[edit] Education
- Ph.D., New York University, 1966
- M.S., New York University, 1964
- B.S., Brooklyn College, 1962
[edit] Research interests
- Level set methods for computing moving fronts
- Approximation methods for hyperbolic conservation laws and Hamilton-Jacobi equations
- Total variation and other PDE-based image processing techniques
- Scientific computing
- Applied partial differential equations
[edit] Honors
- National Academy of Sciences (NAS), 2005
- SIAM Kleinman Prize -- "...for his many contributions to the analysis and computation of hyperbolic equations and their applications in science and engineering, and for his mentoring of young scientists and service to the scientific community. His many innovations in numerical schemes for conservation laws and Hamilton-Jacobi equations and in the development of the level set method and its applications have had enormous impact across disciplinary boundaries in image processing, control, flow simulation, and many other fields."
- ICIAM Pioneer Prize, 2003
- NASA Public Service Group Achievement Award, 1992
- US-Israel BSF Fellow, 1986
- SERC Fellowship (England), 1982
- Alfred P. Sloan Fellow, 1972-1974
- Fulbright Fellow, 1971
[edit] See also
James A. Sethian, co-developer of level set methods.
Leonid I. Rudin, who in his Caltech Ph.D. thesis originated the use of non-linear hyperbolic PDE's – Shock Filters in image processing, and discovered the Total Variation based approach to image restoration and other ill-posed problems with discontinuous solutions. See [1]
[edit] External links
- Osher's home page at UCLA: [2]
