Secretary for the International Society for Music Information Retrieval (ISMIR); vice-chair of the EURASIP Acoustic, Speech and Music Signal Processing Technical Area Committee (ASMSP TAC); member of the IEEE Technical Committee on Audio and Acoustic Signal Processing (AASP TC) and chair of its education subcommittee; associate editor for the IEEE/ACM Transactions on Audio, Speech, and Language Processing; and associate editor for the EURASIP Journal on Audio, Speech, and Music Processing.
Research Experience
Royal Academy of Engineering / Leverhulme Trust Research Fellow in resource-efficient machine listening; Turing Fellow at the Alan Turing Institute; Royal Academy of Engineering Research Fellow; principal- and co-investigator for several funded research projects at the intersection of machine learning and audio; Deputy Director for the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).
Background
Currently a Reader in Machine Listening and Director of Research at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His main research topic is computational audio analysis, also referred to as machine listening or computer audition, applied to music, urban, everyday, and nature sounds.