Emmanouil Benetos
Reader In Machine Listening at Queen Mary University of London
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolEmmanouil Benetos is a Reader in Machine Listening at Queen Mary University of London with 12 years of experience developing machine listening and audio analysis technologies, bridging academic research and applied engineering. He leads research in resource-efficient and adaptive audio models, serving as Director of Research for the School of EECS and Deputy Director for the UKRI Centre for Doctoral Training in AI and Music. His work has been supported by major fellowships (Royal Academy of Engineering, Leverhulme) and spans automatic music transcription, compact models for constrained devices, and robust audio representation learning. A Turing Fellow and long-time contributor to music information retrieval initiatives, he combines deep signal-processing roots with practical ML for real-world acoustic environments. Notably, his research agenda emphasizes models that learn fast from limited data—an approach inspired by human auditory processing and aimed at deployable systems.
12 years of coding experience
8 years of employment as a software developer
MSc, Computer Science - Digital Media, MSc, Computer Science - Digital Media at Aristotle University of ThessalonikiPhD, Electronic Engineering, PhD, Electronic Engineering at Queen Mary, U. of London
English, Greek, Italian
Github Skills (1)
jekyll4
Programming languages (2)
Github contributions (5)
c4dm/c4dmpoole
Apr 2015 - Dec 2022
Contributions:329 commits, 11 PRs, 328 pushes in 7 years 9 months
euricocovas/OptimalNeuralNetworkInputLayer
Apr 2018 - May 2019
Contributions:1 PR, 5 pushes in 1 year
forecastingspatialspatial-temporaltemporal-seriesmachine-learning
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