Member

George Fazekas is a Lecturer in Digital Media at Queen Mary University, Centre for Digital Music (C4DM) where he is working on semantic audio technologies and their applications to creative music production using ontology-based information management, audio signal processing and machine learning, Semantic Web, Linked Data, and knowledge-based reasoning. He is QMUL's principal investigator of the H2020 funded Audio Commons project, aiming to facilitate access to Creative Commons licensed audio on the web across diverse production scenarios using linked data. As a member of the Fusing Semantic and Audio Technologies for Intelligent Music Production and Consumption (FAST-IMPACt) research team, he is coordinating efforts toward seamless integration of semantic audio analysis and Semantic Web technologies. Fazekas co-chaired workshops on behalf the Semantic Audio Analysis Technical Committee (TC-SAA) of the Audio Eng. Soc. in 2015 and 2016. He was papers co-chair of the 53rd AES International conference on Semantic Audio in 2014 and general chair of the ACM SIG-CHI (in-coop.) Audio Mostly conference in 2017, with over 120 delegates. He is a co-editor of the conference proceedings and guest editor of the Journal of the Audio Eng. Soc. (JAES) Special Issue on Participatory Sound And Music Interaction Using Semantic Audio. Fazekas is a member of the IEEE, AES and ACM. He is also a member of the Audio Mostly steering committee and recipient of the AES citation award.