Emmanouil Benetos

Emmanouil Benetos is a Reader in Machine Listening and Director of Research at Queen Mary University of London's School of Electronic Engineering and Computer Science. He co-leads the School's Machine Listening Lab and is affiliated with the Centre for Digital Music, Centre for Intelligent Sensing, Digital Environment Research Institute, and Centre for Multimodal AI.

His research focuses on computational audio analysis applied to music, urban sounds, and bioacoustics. Key areas include machine listening, self-supervised learning, audio representation frameworks, and multimodal AI. Current projects involve resource-efficient audio processing and large language model integration for acoustic tasks.

Recent publications highlight advancements in music source separation, lyrics transcription, graph neural networks for audio, and acoustic identification systems. His work bridges machine learning with real-world applications in music technology, environmental monitoring, and audio-language models.

• Royal Academy of Engineering / Leverhulme Trust Research Fellow
• Turing Fellow at the Alan Turing Institute
• Royal Academy of Engineering Research Fellow

As academic service, he serves as Secretary for the International Society for Music Information Retrieval (ISMIR), chair of the IEEE Technical Committee education subcommittee, associate editor for IEEE/ACM Transactions and EURASIP Journal, and Deputy Director for the UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM).