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General Information

Full Name Shubhr Singh
Languages English, Hindi

Education

  • 2020 - Current
    PhD AI & Music
    Queen Mary University of London
    • Working on Graph Neural Networks for Audio Classification & Tagging
  • 2018-2019
    Msc Sound & Music Computing
    Queen Mary University of London
    • {"Thesis title"=>"Modelling audio dataset with noisy labels using noise adaptation layer and noise robust loss function"}

Experience

  • 2024 - Current
    Teaching Fellow
    Queen Mary University of London
    • Teaching music informatics to postgraduate and doctoral students
  • 2023 - Current
    Enrichment Student
    The Alan Turing Institute,UK
    • Received placement award from the Alan Turing Institute to conduct my PhD research from their HQ.
    • Working on collaborations to develop domain agnostic graph neural network models.
  • 2021 - Current
    Co-Organiser
    DCASE Challenge Task 5
    • Developed the baseline repository for the challenge..
    • Web master for the task.
  • 2019-2020
    Research Assistant
    Queen Mary University of London
    • Worked on industry sponsored project (Steinberg Media Technologies GmbH) to automate parameter prediction for dynamic range compressor using siamese neural network.

Honors and Awards

  • 2003
    • Alan Turing Enrichment Award