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Michael Gurevich teaches courses in media art, computer-based composition, and physical computing, and designs and composes interactive music systems. His research, framed through an interdisciplinary lens of Interaction Design, explores new aesthetic interactional possibilities that emerge during performances using real-time computer systems. Employing both quantitative and qualitative methods, as well as ethnographic and practice-based approaches, he investigates how skill and style manifest in digital music performance. Before his current role at the University of Michigan, Gurevich was a Lecturer at the Sonic Arts Research Centre (SARC) at Queen's University Belfast, where he co-founded the Performative Interactions research group and co-directed QUBe, an ensemble focused on experimental improvised music using acoustic and electronic instruments. He completed his postdoctoral work at the Center for Computer Research in Music and Acoustics (CCRMA) at Stanford University and spent two years as a research scientist at the Institute for Infocomm Research (I2R), part of Singapore’s A*STAR family of leading R&D institutions. His PhD research at Stanford involved developing computational acoustic models of whale and dolphin vocalizations, collaborating with Jonathan Berger and Julius Smith at the Hopkins Marine Station of Stanford Medical School. Gurevich's concurrent research with Chris Chafe and Bill Verplank focused on networked music performance and haptic music interfaces, remaining active areas of interest. He is a published author, editor, and peer reviewer in the New Interfaces for Musical Expression (NIME), computer music, and human-computer interaction (HCI) communities, and has presented his work at numerous conferences worldwide.
Performing Arts Technology • University of Michigan
Associate Professor, focusing on teaching and research in Performing Arts Technology.
Department of Electrical Engineering and Computer Science