People

Academic

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Dr Aidan Hogg

Lecturer in Computer Science

spatial and immersive audio, music signal processing, machine learning for audio, music information retrieval

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Dr Anna Xambó

Senior Lecturer in Sound and Music Computing

new interfaces for musical expression, performance study, human-computer interaction, interaction design

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Dr Charalampos Saitis

Lecturer in Digital Music Processing

Communication acoustics, crossmodal correspondences, sound synthesis, cognitive audio, musical haptics

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Dr Emmanouil Benetos

Reader in Machine Listening

Machine listening / computer audition, Machine learning for audio and sequential data, Music information retrieval, Multimodal AI, Resource-efficient AI

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Dr George Fazekas

Senior Lecturer

Semantic Audio, Music Information Retrieval, Semantic Web for Music, Machine Learning and Data Science, Music Emotion Recognition, Interactive music sytems (e.g. intellignet editing, audio production and performance systems)

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Dr Iran Roman

Lecturer in Sound and Music Computing

theoretical neuroscience, machine perception, artificial intelligence

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Dr Johan Pauwels

Lecturer in Audio Signal Processing

automatic music labelling, music information retrieval, music signal processing, machine learning for audio, chord/key/structure (joint) estimation, instrument identification, multi-track/channel audio, music transcription, graphical models, big data science

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Dr Lin Wang

Lecturer in Applied Data Science and Signal Processing

signal processing; machine learning; robot perception

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Dr Mathieu Barthet

Senior Lecturer in Digital Media

Music information research, Internet of musical things, Extended reality, New interfaces for musical expression, Semantic audio, Music perception (timbre, emotions), Audience-Performer interaction, Participatory art

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Dr Tony Stockman

Senior Lecturer

Interaction Design, auditory displays, Data Sonification, Collaborative Systems, Cross-modal Interaction, Assistive Technology, Accessibility

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Prof Andrew McPherson

Professor of Musical Interaction

new interfaces for musical expression, augmented instruments, performance study, human-computer interaction, embedded hardware

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Prof Joshua D Reiss

Professor of Audio Engineering

sound engineering, intelligent audio production, sound synthesis, audio effects, automatic mixing

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Prof Mark Sandler

C4DM Director

Digital Signal Processing, Digital Audio, Music Informatics, Audio Features, Semantic Audio, Immersive Audio, Studio Science, Music Data Science, Music Linked Data.

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Prof Simon Dixon

Professor of Computer Science, Deputy Director of C4DM, Director of the AIM CDT

Music informatics, music signal processing, artificial intelligence, music cognition; extraction of musical content (e.g. rhythm, harmony, intonation) from audio signals: beat tracking, audio alignment, chord and note transcription, singing intonation; using signal processing approaches, probabilistic models, and deep learning.

Academic Associate

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Dr Marcus Pearce

Reader in Cognitive Science

Music Cognition, Auditory Perception, Empirical Aesthetics, Statistical Learning, Probabilistic Modelling.

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Prof Geraint Wiggins

Professor of Computational Creativity

Computational Creativity, Artificial Intelligence, Music Cognition

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Prof Matthew Purver

Professor of Computational Linguistics

computational linguistics including models of language and music

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Prof Pat Healey

Professor of Human Interaction

human interaction, human communication

PhD

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Adam Andrew Garrow

PhD Student

Probabilistic learning of sequential structures in music cognition

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Adam He

PhD Student

Neuro-evolved Heuristics for Meta-composition

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Aditya Bhattacharjee

PhD Student

Self-supervision in Audio Fingerprinting

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Adán Benito

PhD Student

Beyond the fret: gesture analysis on fretted instruments and its applications to instrument augmentation

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Alexander Williams

PhD Student

User-driven deep music generation in digital audio workstations

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Andrea Martelloni

PhD Student

Real-Time Gesture Classification on an Augmented Acoustic Guitar using Deep Learning to Improve Extended-Range and Percussive Solo Playing

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Andrew (Drew) Edwards

PhD Student

Deep Learning for Jazz Piano: Transcription + Generative Modeling

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Antonella Torrisi

PhD Student

Computational analysis of chick vocalisations: from categorisation to live feedback

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Ashley Noel-Hirst

PhD Student

Latent Spaces for Human-AI music generation

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Ben Hayes

PhD Student

Differentiable Digital Signal Processing, Audio Synthesis, and Symmetry

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Berker Banar

PhD Student

Towards Composing Contemporary Classical Music using Generative Deep Learning

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Bleiz Del Sette

PhD Student

The Sound of Care: researching the use of Deep Learning and Sonification for the daily support of people with Chronic Primary Pain

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Bradley Aldous

PhD Student

Enabling Efficient Training and Inference of Large Audio Models

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Carey Bunks

PhD Student

Most people are familiar with Shazam, the app that recognizes recorded music using audio fingerprinting. It provides the title, artist, and other information from the audio of a song, as provided by the publisher. Shazam does not, however, work for live music. The topic of this thesis is song title recognition from live jazz.

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Carlos De La Vega Martin

PhD Student

Neural Drum Synthesis

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Chin-Yun Yu

PhD Student

Neural Audio Synthesis with Expressiveness Control

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Chris Winnard

PhD Student

Music Interestingness in the Brain

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Christian Steinmetz

PhD Student

End-to-end generative modeling of multitrack mixing with non-parallel data and adversarial networks

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Christopher Mitcheltree

PhD Student

Deep Learning for Time-varying Audio Systems and Spectrotemporal Modulations

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Christos Plachouras

PhD Student

Deep learning for low-resource music

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Cyrus Vahidi

PhD Student

Perceptual end to end learning for music understanding

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David Foster

PhD Student

Modelling the Creative Process of Jazz Improvisation

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David Südholt

PhD Student

Machine Learning of Physical Models for Voice Synthesis

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Ece Yurdakul

PhD Student

Emotion-based Personalised Music Recommendation

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Eleanor Row

PhD Student

Automatic micro-composition for professional/novice composers using generative models as creativity support tools

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Elona Shatri

PhD Student

Optical music recognition using deep learning

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Farida Yusuf

PhD Student

Neural computing for auditory object analysis

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Franco Caspe

PhD Student

AI Timbre Transfer for Low-Latency Musical Interaction

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Gabryel Mason-Williams

PhD Student

Artificial Neuroscience: Applying Mathematics to the Understanding and Control of Deep Learning

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Gary Bromham

PhD Student

Analysis of Retro Aesthetics in Music Production

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Gregor Meehan

PhD Student

Representation learning for musical audio using graph neural network-based recommender engines

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Haokun Tian

PhD Student

Timbre Tools for the Digital Instrument Maker

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Harnick Khera

PhD Student

Informed source separation for multi-mic production

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Huan Zhang

PhD Student

Computational Modelling of Expressive Piano Performance

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Iacopo Ghinassi

PhD Student

Semantic understanding of TV programme content and structure to enable automatic enhancement and adjustment

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Ilaria Manco

PhD Student

Multimodal Deep Learning for Music Information Retrieval

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Jackson Loth

PhD Student

Time to vibe together: cloud-based guitar and intelligent agent

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James Bolt

PhD Student

Intelligent audio and music editing with deep learning

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Jiawen Huang

PhD Student

Lyrics Alignment For Polyphonic Music

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Jingjing Tang

PhD Student

Deep Generative Modelling for Expressive Piano Performance: From Symbolic Interpretation to Audio Realisation

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Jinhua Liang

PhD Student

Everyday Sound Recognition with Limited Annotations

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Jinwen Zhou

PhD Student

Combining Deep Learning and Music Theory

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Jordie Shier

PhD Student

Real-time timbral mapping for synthesized percussive performance

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Julien Guinot

PhD Student

Beyond Supervised Learning for Musical Audio

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Katarzyna Adamska

PhD Student

Predicting hit songs: multimodal and data-driven approach

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Keshav Bhandari

PhD Student

Neuro-Symbolic Automated Music Composition

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Lele Liu

PhD Student

Automatic audio-to-score piano transcription with deep neural networks

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Lewis Wolstanholme

PhD Student

Meta-Physical Modelling

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Louis Bradshaw

PhD Student

Neuro-symbolic music models

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Luca Marinelli

PhD Student

Gender-Coded Sound: A multimodal analysis of gender encoding strategies in music for advertising

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Madeline Hamilton

PhD Student

Perception and analysis of 20th and 21st century popular music

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Marco Comunità

PhD Student

Machine learning applied to sound synthesis models

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Marco Pasini

PhD Student

Fast and Controllable Music Generation

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Mary Pilataki

PhD Student

Deep learning methods for multi-instrument music transcription

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Max Graf

PhD Student

When XR Meets AI: Machine Learning for Gesture Control Mechanisms in XR Musical Instruments

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Minhui Lu

PhD Student

Applications of deep learning for improved synthesis of engine sounds

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Nelly Garcia

PhD Student

An investigation evaluating realism in sound design

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Ningzhi Wang

PhD Student

Generative Models For Music Audio Representation And Understanding

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Oluremi Falowo

PhD Student

E-AIM - Embodied Cognition in Intelligent Musical Systems

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Pablo Tablas De Paula

PhD Student

Machine Learning of Physical Models

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Qiaoxi Zhang

PhD Student

Multimodal AI for musical collaboration in immersive environments

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Qing Wang

PhD Student

Multi-modal Learning for Music Understanding

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Rodrigo Mauricio Diaz Fernandez

PhD Student

Hybrid Neural Methods for Sound Synthesis

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Ruby Crocker

PhD Student

Continuous mood recognition in film music

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Sara Cardinale

PhD Student

Character-based adaptive generative music for film and video games using Deep Learning and Hidden Markov Models

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Shahar Elisha

PhD Student

Style classification of podcasts using audio

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Shangxuan Luo

PhD Student

Adaptive Music Generation for Video Game

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Shubhr Singh

PhD Student

Audio Applications of Novel Mathematical Methods in Deep Learning

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Shuoyang Zheng

PhD Student

Explainability of AI Music Generation

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Soumya Sai Vanka

PhD Student

User-Centric Intelligent Context-Aware Multitrack Music Mixing

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Teodoro Dannemann

PhD Student

Sabotaging, errors and other mistakes as a source of new techniques in music improvisation

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Teresa Pelinski

PhD Student

Sensor mesh as performance interface

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Tyler Howard McIntosh

PhD Student

Expressive Performance Rendering for Music Generation Systems

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Vjosa Preniqi

PhD Student

Predicting demographics, personalities, and global values from digital media behaviours

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Xavi D'Cruz

PhD Student

Machine Learning of Physical Models

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Xavier Riley

PhD Student

Pitch tracking for music applications - beyond 99% accuracy

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Xiaojing Liu

PhD Student

Automatic Mixing for teleconferencing, gaming and live streaming

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Xiaowan Yi

PhD Student

Composition-aware music recommendation system for music production

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Yannis (John) Vasilakis

PhD Student

Towards multilabel classification with joint audio-text models

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Yazhou Li

PhD Student

Virtual Placement of Objects in Acoustic Scenes

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Yifan Xie

PhD Student

Film score composer AI assistant: generating expressive mockups

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Yin-Jyun Luo

PhD Student

Industry-scale Machine Listening for Music and Audio Data

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Yinghao Ma

PhD Candidate

Large Language Models for Music

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Yisu Zong

PhD Student

Machine learning for physical models of sound synthesis

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Yixiao Zhang

PhD Student

Improving Controllability and Editability for Pretrained Text-to-Music Generation Models

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Yorgos Velissaridis

PhD Student

Personalizing Audio with Context-aware AI using Listener Preferences and Psychological Factors

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Yukun Li

PhD Student

Computational Comparison Between Different Genres of Music in Terms of the Singing Voice

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Zixun Nicolas Guo

PhD Student

Multimodal Foundational Models for Music

Postdoc

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Dr Luigi Marino

Research Fellow in Sound and Music Computing

Networks able to display relationships between human and nonhuman actors. Project: Sensing the Forest.

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Dr Pedro Sarmento

Postdoctoral Researcher

music information retrieval, language models for music generation, guitar tablature generation, automatic guitar transcription, deep learning

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Dr Saurjya Sarkar

Postdoctoral Researcher

Audio Source Separation, Music Information Retrieval, Sample Detection

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Dr Tara Vanhatalo

Postdoctoral Researcher

Digital Signal Processing, Artificial Intelligence, Audio Effects Modelling

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Dr Yuanyuan Liu

Postdoctoral Researcher

Project: Digital Platforms for Craft in the UK and China

Research Assistant

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Ivan Meresman Higgs

Research Assistant

Sample Identification in Mastered Songs using Deep Learning Methods

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Jaza Syed

Research Assistant

Audio ML, Automatic Lyrics Transcription

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Sungkyun Chang

Research Assistant

Music Performance Assessment and Feedback

Support

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Alvaro Bort

Research Programme Manager

Projects: UKRI Centre for Doctoral Training in Artificial Intelligence and Music, New Frontiers in Music Information Processing (MIP-Frontiers)

Visitor

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Dr Matthias Mauch

Visiting Academic

music transcription (chords, beats, drums, melody, ...), interactive music annotation, singing research, research in the evolution of musical styles

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Dr Satvik Venkatesh

L-Acoustics UK Ltd

Online Speech Enhancement In Scenarios With Low Direct-to-Reverberant-Ratio

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Hyon Kim

Universitat Pompeu Fabra

Automated Music Performance Assessment and Critique

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Ludovic Tuncay

University of Toulouse

Towards multimodal self-supervised learning with application to audio classification

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Name

Academic Position

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School of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road
London
E1 4NS
United Kingdom

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