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]