Malcolm Slaney

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Malcolm Slaney in Santa Barbara in 2017, during the KITP workshop "Physics of Hearing: From Neurobiology to Information Theory and Back"

Malcolm Slaney is an American electrical engineer, whose research has focused on machine perception and multimedia analysis. He is a Fellow of the IEEE for "contributions to perceptual signal processing and tomographic imaging".[1] He is a consulting professor at the Stanford University Center for Computer Research in Music and Acoustics and an affiliate faculty member in the Electrical Engineering Department at the University of Washington.[2]

Slaney attended Purdue University for his bachelor's, master's, and PhD degrees in electrical engineering. He is currently a Research Scientist in the Machine Hearing group at Google. Previously, he worked at Bell Labs, Schlumberger Palo Alto Research, Apple Computer, Interval Research Corporation, IBM Research – Almaden, Yahoo! Research, and Microsoft Research.[3]

Slaney's 1988 book with Avinash Kak, Principles of Computerized Tomographic Imaging, which he co-wrote as a grad student, has been selected by the Society for Industrial and Applied Mathematics for republication in their Classics in Applied Mathematics series.[4]

References[edit]

  1. ^ "Malcolm Slaney Named IEEE Fellow". Yahoo Research. 10 December 2009. Retrieved 3 July 2017.
  2. ^ "Malcolm Slaney". Department of Music. Retrieved 3 July 2017.
  3. ^ "Malcolm's Page of Publications". www.slaney.org. Retrieved 3 July 2017.
  4. ^ Kak, Avi. "Books Authored by Avi Kak". engineering.purdue.edu. Retrieved 15 December 2020.