Peyman is a Distinguished Scientist at Google Research, where he leads the Computational Imaging team. Prior to this, he was a Professor of Electrical Engineering at UC Santa Cruz for 15 years, two of those as Associate Dean for Research. From 2012-2014 he was on leave at Google-x, where he helped develop the imaging pipeline for Google Glass.

Over the last decade, Peyman's team at Google has developed several core imaging technologies at Google that are used in many products. Among these are the zoom pipeline for the Pixel phones, which includes the multi-frame super-resolution (Super Res Zoom) pipeline, and several generations of state of the art digital upscaling algorithms.  Most recently, his team led the development of the Unblur feature launched in Google Photos for Pixel devices.

Peyman received his undergraduate education in electrical engineering and mathematics from the UC Berkeley, and the MS and PhD degrees in electrical engineering from the MIT. He holds more than two dozen patents. He founded MotionDSP, which was acquired by Cubic Inc.

Along with his students and colleagues, he has won multiple best paper awards for introducing kernel regression in imaging; the RAISR upscaling algorithm; NIMA: neural image quality assessment, and Regularization by Denoising (RED). He's been a Distinguished Lecturer of the IEEE Signal Processing Society, and is a Fellow of the IEEE "for contributions to inverse problems and super-resolution in imaging"

New: Our paper InDI has been published in Transactions on Machine Learning as a "featured" article (equivalent of "oral"). It will be presented at ICLR 2024 as well. Here's the paper website, the Openreview page, the paper PDF, and a 15min video


@article{delbracio2023inversion,title={Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration},author={Mauricio Delbracio and Peyman Milanfar},journal={Transactions on Machine Learning Research},issn={2835-8856},year={2023},url={},note={Featured Certification}

  Google Scholar              LinkedIn             Twitter