Peyman Milanfar

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Peyman Milanfar
Born 1 March 1966
Tehran, Iran
Residence Menlo Park, CA
Nationality USA
Alma mater MIT
Known for Superresolution, Demosaicing, Kernel Regression in Image Processing
Awards IEEE Fellow[1] for contributions to inverse problems and super-resolution in imaging. National Science Foundation Career Award.[2]
Scientific career
Fields Electrical Engineering
Institutions University of California, Santa Cruz and Google Inc.
Doctoral advisor Alan S. Willsky[3][4][5][6]

Peyman Milanfar is a professor of Electrical Engineering at University of California Santa Cruz, where he directs the Multi-Dimensional Signal Processing group.[7] He was also Associate Dean for Research and Graduate Studies from 2010 to 2012.[8] He is currently on leave from his professorship, working as a visiting scientist in Google X Lab,[9] where he is working on Google's Project Glass.[10]

His work includes the development of fast and robust methods for super-resolution, statistical analysis of performance limits for inverse problems in imaging, and the development of adaptive non-parametric techniques (kernel regression) for image and video processing. He holds 7 US patents in the field of image and video processing.[11]

Milanfar did his undergraduate studies at University of California, Berkeley, graduating in 1988, with a joint degree in Mathematics and Electrical Engineering. Milanfar received his Ph.D. in Electrical Engineering and Computer Sciences from MIT in 1993, under the supervision of Alan S. Willsky.[12] He was a research scientist at SRI International from 1994 to 1999 before moving to UC Santa Cruz.

Awards and honors[edit]

In 2000, Milanfar won a Career award from the US National Science Foundation.[2] He was elected to IEEE Fellow[1] in 2010 for contributions to inverse problems and super-resolution in imaging.

Publications[edit]

He has published more than 150 peer-reviewed journal and conference articles.[13][14] He won a best paper award from IEEE in 2011.[15]

Books[edit]

Peyman Milanfar, Ed., Super-resolution Imaging,[16] CRC Press, 2010

References[edit]

External links[edit]