Shlomo Dubnov Editor & Author

Shlomo Dubnov is a Professor in the Music Department and Affiliate Professor in Computer Science and Engineering in the University of California, San Diego. He is best known for his research on poly-spectral analysis of musical timbre and inventing the method of Music Information Dynamics with applications in Computer Audition and Machine improvisation. His previous books on "The structure of style: Algorithmic approaches to understanding manner and meaning" and "Cross-Cultural Multimedia Computing: Semantic and Aesthetic Modelling" were published with Springer.

Ross Greer is a PhD Candidate in Electrical & Computer Engineering at the University of California, San Diego, where he conducts research at the intersection of artificial intelligence and human agent interaction. Beyond exploring technological approaches to musical expression, Ross creates music as a conductor and orchestrator for instrumental ensembles. Ross received B.S. and B.A. degrees in EECS, Engineering Physics, and Music from UC Berkeley, and an M.S. in Electrical & Computer Engineering from UC San Diego.