March 9, 2015

Join our webinar to learn more about machine learning and how it applies to the Center for Urban Science & Progress’ missions to use big data to make cities more efficient, effective and resilient. Dr. Justin Salamon will be reviewing his research, and there will also be an overview of the educational opportunities at CUSP.

Justin Salamon is a post-doctoral researcher at NYU’s CUSP and the Music and Audio Research Lab (MARL). He obtained a B.A. (Hons.) in Computer Science from the University of Cambridge, UK, in 2007, and an M.Sc. (2008) and Ph.D. (2013) in Computer Science from Pompeu Fabra University (UPF), Barcelona, Spain, specializing in sound and music computing. He was a visiting researcher at the Sound Analysis-Synthesis research team of the Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Paris, France. His research interests include digital signal processing, machine learning and data mining, with applications to computer audition, music information retrieval and urban soundscape analysis. He is the author of melodia, an algorithm for melody extraction from polyphonic music signals that is widely used by researchers, teachers and artists. At CUSP, Justin’s research is focused on algorithms for the automatic extraction of high-level semantic information from urban acoustic environments, with the goal of facilitating large­-scale, big­-data driven analyses of urban sound and noise. For further information and a full list of publications please see: