Emmanouil Benetos
Reader In Machine Listening at Queen Mary University of London
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolEmmanouil Benetos is a Reader in Machine Listening and Director of Research at Queen Mary University of London, where he leads computational audio analysis research across music, urban, everyday and nature sounds. He specializes in machine listening and computer audition, translating advanced audio understanding into practical insights for media, environment and acoustics research. He also serves as Deputy Director of the UKRI Centre for Doctoral Training in AI and Music and was a Turing Fellow at the Alan Turing Institute, reflecting his track record in bridging academia with national research agendas. His career spans over a decade across Queen Mary and international research roles, including Royal Academy of Engineering fellowships and leadership positions in the School of Electronic Engineering and Computer Science. He holds a PhD in Electronic Engineering from QMUL, and prior degrees in Computer Science from Aristotle University of Thessaloniki, underscoring a solid foundation in both theory and application of audio intelligence. Based in London, he combines rigorous research leadership with a passion for applying machine listening to real-world auditory phenomena.
12 years of coding experience
8 years of employment as a software developer
BSc, Computer Science, BSc, Computer Science 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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