New Perspectives in Science Education

Edition 13

Speaker Profile

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Ajay Kapur

Institution: California Institute of the Arts

Country: United States

Ajay's work revolves around one question: "How do you make a computer improvise with a human?" Using the rules set forth by Indian classical tradition, Ajay has been driven to build new interfaces for musical expression through extending the Indian classical Tabla, Dholak, & Sitar, with added microchips and embedded sensor systems, while designing custom robotic musical instruments. He now leads a team of artists and engineers exploring the intersection of music, composition, storytelling, science and technology in the KarmetiK Machine Orchestra.

Ajay Kapur is currently the Director of the Music Technology: Interaction Intelligence and Design (MTIID) program at the California Institute of the Arts, as well as the Associate Dean for Research and Development in Digital Arts. He is also a Senior Lecturer of Sonic Arts Engineering at the New Zealand School of Music at Victoria University of Wellington. He received an Interdisciplinary Ph.D. in 2007 from University of Victoria combining computer science, electrical engineering, mechanical engineering, music and psychology with a focus on intelligent music systems and media technology. Ajay graduated with a Bachelor of Science in Engineering and Computer Science from Princeton University in 2002. He has been educated by music technology leaders including Dr. Perry R. Cook, combined with mentorship from robotic musical instrument sculptors Eric Singer and the world famous Trimpin. A musician at heart trained on drumset, tabla, sitar and other percussion instruments from around the world, Ajay strives to push the technological barrier in order to explore new sounds, rhythms and melodies.

Kapur has published over 80 technical papers and presented lectures across the world on music technology, human computer interface for artists, robotics for making sound, and modern digital orchestras. His book “Digitizing North Indian Music”, discusses how sensors, machine learning and robotics are used to extend and preserve traditional techniques of Indian Classical music.

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