Research Areas:
Computational Fluid Dynamics, PDE, Image Processing

Prof. Stanley Osher received his PhD from New York University in 1966, and has been a Professor of Mathematics of UCLA since 1977. He has over 200 publications in popular international mathematics and scientific journals with tremendous fundamental contributions to applied mathematics, computational science, and scientific computing. With his expertise on total variation minimization, he has recently developed various efficient numerical methods for compressive sensing in signal representation, leading to various applications including MRI scan, machine learning and single-pixel camera.

Prof. Osher is a Member of the US National Academy of Sciences and a Fellow of the American Academy of Arts and Sciences. He received honorary doctorates from the Hong Kong Baptist University and ENS in France. In 2014, he won the Carl Friedrich Gauss Prize for his influential contributions in applied mathematics which enhance development on computer vision, image processing, and computer graphics.