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Jeff Bilmes joined the faculty of the University of Washington Department of Electrical & Computer Engineering in the fall of 1999. He received his B.S. degree in Electrical Engineering and Computer Science from U.C. Berkeley in 1989, his S.M. degree from MIT in 1993, and his Ph.D. in Computer Science from U.C. Berkeley in 1999. He is a member of the International Computer Science Institute in Berkeley, CA. Bilmes is the author of over 100 journal and conference papers on topics ranging from speech and language to statistical machine learning, human-computer interfaces, bioinformatics, pattern recognition, and parallel programming. His primary research interests lie in statistical modeling, particularly graphical modeling approaches, combinatorial optimization, signal processing, pattern classification, speech recognition, language processing, and audio processing. He has strong interests in speech-based human-computer interfaces and is the principal investigator on a well-known vocal joystick system for speech-based continuous control. His research also explores the statistical properties of natural objects and scenes, information theory in relation to natural computation, and the recognition of patterns by machines, as well as computational music processing with an emphasis on human timing subtleties. Additionally, he is interested in high-performance computing systems, submodularity in machine learning, computer architecture, and software techniques that reduce power consumption.
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