Computer research in music and acoustics (CCRMA)

Utku Asuroglu’s works have been performed at such acclaimed festivals as Darmstädter Ferienkurse, Donaueschinger Musiktage Next Generation, Schleswig Holstein, Manifeste Ircam, Gaudeamus Muziekweek, MATA Festival, Royaumot, ISCM World Music Days, International Tongyeong Music Festival, Essen Europen Capital Culture and the Red Ear festival. Ensembles who have performed his works include the Ensemble Intercontemporain, Talea, Ensemble LINEA, Asko|Schönberg Ensemble, Insomnia Ensemble, Slagwerk Den Haag, Divertimento Ensemble, Faust Quartett, Signum Quartett, Ensemble Interface.

François Rose received his Bachelor and Master degrees in composition from McGill University, and his Ph.D. from the University of California-San Diego. He also studied with Tristan Murail, at the Institut de Recherche Coordination Acoustique et Musique (IRCAM), and with Gérard Grisey at the Conservatoire National Supérieur de Musique de Paris.

Doug L. James is a Full Professor of Computer Science at Stanford University (since June 2015), and was previously an Associate Professor of Computer Science at Cornell University (2006-2015). He holds three degrees in applied mathematics, including a Ph.D. in 2001 from the University of British Columbia. In 2002 he joined the School of Computer Science at Carnegie Mellon University as an Assistant Professor, before joining Cornell in 2006. His research interests include computer graphics, computer sound, physically based modeling and animation, and reduced-order physics models.

Charlie Sdraulig's music explores interaction that examines the roles of physicality and perception in human performance. This exploration often takes place at the threshold of audibility. The inherent ambiguity of this context may allow a particular expression of human individuality to emerge.

Dr. Matthew Wright is a media systems designer, improvising composer/musician, and computer music researcher.  He was the Musical Systems Designer at U.C.

Gautham is a senior research scientist at Adobe Research in San Francisco. His research involves developing new signal processing and machine learning algorithms for a wide variety of real-world audio applications. He has previously been a visiting researcher at the Gatsby Computational Neuroscience Unit at the University College London, and has previously spent time at Microsoft Research and the department of Electrical Communication Engineering at the Indian Institute of Science.