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Instigators:
PI: Chris Kiefer, Senior Lecturer, Experimental Music Technologies Lab, Department of Music, University of Sussex, UK
Chris is a computer-musician and musical instrument designer, specialising in musician-computer interaction, physical computing, and machine learning. He performs with custom-made instruments including malleable foam interfaces, touch screen software, interactive sculptures and a modified self-resonating cello. His work concentrates on machine learning and signal processing, with an emphasis on nonlinear and dynamical systems.
Co-I: Dan Overholt, Associate Professor, Augmented Performance Lab, Department of Architecture, Design and Media Technology, Aalborg University Copenhagen, Denmark
Dan Overholt is an Associate Professor of Sound & Music Computing at Aalborg University Copenhagen, Denmark. He holds a Ph.D. from the Media Arts and Technology (MAT) program at UC Santa Barbara, a Masters from the Media Laboratory at MIT, and studied electronics engineering and music (violin performance) at CSU, Chico. He composes and performs with new human-computer interfaces and musical signal processing algorithms, and has worked in the industry for companies such as Eventide, E-mu, and Echo Audio.
Advisory Board:
Prof. Ed Hughes, University of Sussex, Department of Music
Prof. Chris Chafe, Stanford University, Director of Center for Computer Research in Music and Acoustics
Dr. Nathaniel Virgo, Earth-Life Science Institute, Tokyo Institute of Technology
Tom Mudd is a lecturer in digital audio and computer music in the School of Music at the University of Edinburgh. His recent research and musical work has explored the role of feedback in both acoustic and electronic musical interactions.
Creative Commons Attribution 4.0 International License (CC-BY 4.0)
