Researcher

Stanley Osher

As of October 2026, Stanley Osher is a distinguished professor emeritus at UCLA whose research spans image processing, computer vision, and deep learning. Born in 1942, he earned degrees at Brooklyn College and New York University, held research and faculty posts at Brookhaven, Berkeley, and Stony Brook, and joined UCLA in 1977. With Leonid Rudin and Emad Fatemi, he coauthored a 1992 paper on total-variation noise removal. In 2017, he connected nonlinear partial differential equations with methods for training deep neural networks. He received the Gauss Prize in 2014, was elected to the National Academy of Engineering in 2018, and reflected on 25 years of leadership at IPAM in 2025.

Works
709
Citations
119,327
h-index
122

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 1942–1966

    College and graduate degrees

    Born in 1942, he earns a B.S. from Brooklyn College in 1962, an M.S. from New York University in 1964, and a Ph.D. there in 1966.

  2. 1966–1977

    From Brookhaven to UCLA

    He works at Brookhaven, joins Berkeley as an assistant professor in 1968, moves to Stony Brook as an associate professor in 1970 and full professor in 1975, and joins UCLA's mathematics faculty in 1977.

  3. 1992

    Total variation denoising

    With Leonid Rudin and Emad Fatemi, he coauthors the 1992 paper “Nonlinear Total Variation Based Noise Removal Algorithms.”

  4. 2014

    The Gauss Prize

    He receives the Gauss Prize at the 2014 International Congress of Mathematicians in Seoul, South Korea.

  5. 2017

    Deep Relaxation

    He publishes the 2017 paper Deep Relaxation with four coauthors; it connects non-convex deep neural network training with nonlinear partial differential equations.

  6. 2018

    National Academy of Engineering

    The National Academy of Engineering elects him in 2018 for work in imaging, computer vision, and graphics, including level-set methods and compressed sensing.

  7. 2025

    IPAM leadership

    He reflects on 25 years of leadership at UCLA's Institute for Pure and Applied Mathematics in the institute's 2025 newsletter.

  8. As of October 2026

    Professor emeritus at UCLA

    He is a distinguished professor emeritus at UCLA.

Sources and credits

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  1. Stanley Osher | UCLA Samueli School Of Engineering samueli.ucla.edu. Checked 15 October 2026.
  2. Stanley Osher - Wikipedia en.wikipedia.org. Checked 15 October 2026.
  3. Math 199: Spring & Summer 2002 math.ucla.edu. Checked 15 October 2026.
  4. Professor Stanley Osher Receives Highest Honor in Applied Mathematics | UCLA Department of Mathematics math.ucla.edu. Checked 15 October 2026.
  5. [1704.04932] Deep Relaxation: partial differential equations for optimizing deep neural networks arxiv.org. Checked 15 October 2026.
  6. Three UCLA Engineering faculty members elected to National Academy of Engineering | UCLA newsroom.ucla.edu. Checked 15 October 2026.
  7. Presenting IPAM’s 2025 Annual Newsletter - IPAM ipam.ucla.edu. Checked 15 October 2026.