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Julius O. Smith

is an Associate Professor of Music and (by courtesy) Electrical Engineering at the Center for Computer Research in Music and Acoustics (CCRMA), Department of Music, Stanford University (http://ccrma.stanford.edu/CCRMA/Overview/Overview.html). His activities include teaching audio signal processing courses, advising graduate students, and pursuing research in signal processing techniques applied to music, Acoustics, and audio. From 1986 to 1991, he was a software engineer at NeXT Computer, Inc., responsible for signal processing software pertaining to music and audio. From 1982 to 1986 he was with the Adaptive Systems Department at Systems Control Technology, Palo Alto, CA, where he worked in the areas of adaptive filtering and spectral estimation. He received the M.S. and Ph.D. degrees in E.E. from Stanford University, Stanford, CA, in 1978 and 1983, respectively. His Ph.D. research involved the application of digital filter design and system identification techniques to the modeling and synthesis of the violin, clarinet, reverberant spaces, and other musical systems. From 1975 to 1977 he worked in the signal Processing Department at ESL, Sunnyvale, CA, on systems for digital communications. He received the B.S.E.E. degree from Rice University, Houston, TX, in 1975. For more information, see http://ccrma.stanford.edu/~jos/.

Jonathan S. Abel

is a researcher with the San Jose State University Foundation studying spatial hearing on a grant from the Human Factors Research Division of NASA Ames Research Center. He also owns Abel Innovations, an engineering consulting firm specializing in audio signal processing. He was chief scientist of Crystal River Engineering, Inc. where he developed efficient methods for synthesizing spatial audio cues and measuring head-related transfer functions. Prior to joining Crystal River, Dr. Abel was vice president of Tetra Systems Incorporated, a lecturer at Yale University, and a consultant to Northwest Digital Research, Systems Control Technology, Saxpy Computer, and Apple Computer, among others. He holds a PhD and MS from Stanford University, and an SB from MIT, all in electrical engineering.