People

PhD Students

  • Kasia Adamska
    Supervisors: Joshua Reiss and Johan Pauwels
    Predicting Hit Songs: Multimodal and Data-Driven Approach
  • Zahraa Al Sahili
    Supervisors: Matthew Purver and Ioannis Patras
    Cog Sci
  • Rashad Al-Dahiri
    Supervisors: Aidan Hogg and Johan Pauwels
    C4DM
  • Brad Aldous
    Supervisors: Ahmed Sayed and Simon Colton
    Advancing Music Generation Via Accelerated Deep Learning
  • Raneem Alharthi
    Supervisors: Arkaitz Zubiaga and Gyorgy Fazekas
    Predicting Abuse: Target Oriented Conversational Abusive Language and Volume Prediction
  • Babar Ali
    Supervisors: Sukhpal Gill and Steve Uhlig
    Network
  • Iqra Ali
    Supervisors: Maria Liakata and Matthew Purver
    Cog Sci
  • Wateen Aliady
    Supervisors: Massimo Poesio and Arkaitz Zubiaga
    Virtual Worlds For Arabic Coreference Annotation: How Puzzles, Tasks Linked to Narrative Goals and Text Type Affect Player Experience
  • Dina Almanea
    Supervisors: Massimo Poesio and Arkaitz Zubiaga
    From Belief to Label: How Annotators’ Degree of Conservatism Shape Disagreement in Sexism Judgments
  • Fatimah Amla
    Supervisors: Evangelia Kyrimi and David Marsh
    Human - and Purpose - Centred Causal Xai For Probabilistic Models in Healthcare
  • Marco Anselmi
    Supervisors: Devis Tommaso and Gregory Slabaugh
    Machine Learning Guided Discovery of Catalysts For Co2 Conversion
  • Om Lbaneen Audi
    Supervisors: Ziquan Liu and Changjae Oh
    Vision
  • María Barrera-Chávez
    Supervisors: David Marsh and Stuart Miller
    Decision Support For Musculoskeletal Running-Related Injuries
  • Alaa Bazaid
    Supervisors: Arkaitz Zubiaga and Haim Dubossarsky
    Dialectal Variation and Cross-Lingual Transfer in Arabic Sexism Detection
  • Adan Benito Temprano
    Supervisors: Andrew Mcpherson and Mathieu Barthet
    Behind The Fret: Gesture Analysis on Fretted Instruments and Its Applications in Instrument Augmentation
  • Toby Best
    Supervisors: Miss.raluca Gaina and Simon Lucas
    Game Master AI For Tabletop Games - Intelligent Games and Game Intelligence
  • Keshav Bhandari
    Supervisors: Simon Colton and Geraint Wiggins
    Neuro-Symbolic Automated Music Composition
  • Aditya Bhattacharjee
    Supervisors: Emmanouil Benetos and Mark Sandler
    Self-Supervision in Audio Fingerprinting
  • James Bolt
    Supervisors: Gyorgy Fazekas and Johan Pauwels
    Intelligent Audio and Music Editing With Deep Learning
  • Louis Bradshaw
    Supervisors: Simon Colton and Aidan Hogg
    Neuro-Symbolic Music Models
  • Kit Bransby
    Supervisors: Qianni Zhang and Christos Bourantas
    Bridging Graph and Dense Representations For Coronary Vessel Segmentation and Registration
  • Carey Bunks
    Supervisors: Simon Dixon
    Jazz Cover Song Identification
  • Weijie Cai
    Supervisors: Sukhpal Gill and Steve Uhlig
    Network;
  • Cao Cao
    Supervisors: Shaogang Gong and Emmanouil Benetos
    Generative Modeling With Few-Shot Learning
  • Hong Sen Cao
    Supervisors: Mona Jaber and Shanxin Yuan
    CSR
  • Sara Cardinale
    Supervisors: Geraint Wiggins and Jeremy Gow
    Character-Based Adaptive Generative Music For Film and Video Games Using Deep Learning and Hidden Markov Models
  • Franco Caspe
    Supervisors: Mark Sandler and Andrew Mcpherson
    Critical Design of Neural Audio Synthesizers For Live Musical Performance
  • Eduardo Castro Cruces
    Supervisors: Athen Ma and Pavel Kratina
    Predicting Ecosystem Re-Assembly Using Machine Learning
  • Leon Chen
    Supervisors: Simon Dixon and Emmanouil Benetos
    C4DM
  • Wenqi Chen
    Supervisors: Yongxin Yang and Chao Shu
    Deep Learning For Implied Volatility Modelling
  • Xiangyan Chen
    Supervisors: Matthew Purver and Arkaitz Zubiaga
    Cog Sci
  • Zhengqi Chen
    Supervisors: Changjae Oh and Elisabetta Versace
    Tactile Retrieval of Objects Buried Within Granular Materials Using a Distributed 3-Axis Tactile Sensor
  • Fuyu Cheng
    Supervisors: Caroline Roney and Gregory Slabaugh
    Investigating Ventricular Arrhythmia Disease Progression Through Uk Biobank Data Digital Twins.
  • Zixu Cheng
    Supervisors: Shaogang Gong and Gregory Slabaugh
    Vision
  • Dario Cioni
    Supervisors: Ioannis Patras
    Multimodal Representations For Affective Avatars
  • Marco Comunità
    Supervisors: Joshua Reiss and Shanxin Yuan
    Understanding and Modelling Audio Effects With Differentiable Methods
  • Michelangelo Conserva
    Supervisors: Paulo Rauber and Simon Lucas
    Towards a Systematic Understanding of Environments Hardness in Reinforcement Learning
  • Ruby Crocker
    Supervisors: Gyorgy Fazekas and Mathieu Barthet
    Temporal Analysis of Emotion Perception in Film Music
  • Chenglin Cui
    Supervisors: Andrea Cavallaro and Changjae Oh
    Vision-Language Models For Robot Learning and Manipulation
  • Ella Cullen
    Supervisors: Patrick Healey and Miles Hansard
    Facial Expressions of Understanding and Misunderstanding
  • Xavier D'Cruz
    Supervisors: Joshua Reiss and Matthew Purver
    Beyond Supervised Deep Learning For Musical Audio: Can Pretraining With Unlabelled Data Improve Deep Networks For Music Source Separation?
  • Jifan Dai
    Supervisors: Matthew Purver and Massimo Poesio
    Cog Sci
  • Teodoro Dannemann
    Supervisors: Andrew Mcpherson
    Play Against The Machine: Sabotaging Musical Instruments as a Source of Creativity For Improvisation
  • Carlos De La Vega Martin
    Supervisors: Mark Sandler and Johan Pauwels
    Neural Drum Synthesis
  • William Dee
    Supervisors: Gregory Slabaugh and Maria Sequeira
    Machine Learning Methods For Cell Painting in Drug Discovery
  • Bleiz Del Sette
    Supervisors: Charalampos Saitis and Akram Alomainy
    The Sound of Care: Researching The Use of Deep Learning and Sonification For The Daily Support of People With Chronic Pain
  • Rodrigo Mauricio Diaz Fernandez
    Supervisors: Mark Sandler and Charalampos Saitis
    Neural Networks For Differentiable Modal Synthesis
  • Yilan Dong
    Supervisors: Shanxin Yuan and Gregory Slabaugh
    MMV
  • Amy Dowse
    Supervisors: Paul Curzon and Dylan Morrissey
    Mobile Health Technology For Patients Suffering With Anxiety and Chronic Pain
  • Drew Edwards
    Supervisors: Simon Dixon
    Modeling Jazz Piano: Symbolic Music Generation Via Large-Scale Automatic Transcription
  • Shahar Elisha
    Supervisors: Emmanouil Benetos and Arkaitz Zubiaga
    C4DM
  • Oluremi Falowo
    Supervisors: Charalampos Saitis and Mark Sandler
    Embodiment in Intelligent Musical Systems
  • Yiting Feng
    Supervisors: Guifen Chen and Joshua Reiss
    Spatial Transformation From The Parietal Cortex to The Hippocampus
  • Luca Forneris
    Supervisors: Changjae Oh and Andrea Cavallaro
    Closing The Loop in Automated Driving: Dataset Design, Scenario Synthesis, and Deployed Perception
  • David Foster
    Supervisors: Simon Dixon and Mathieu Barthet
    Modelling The Creative Process of Jazz Improvisation
  • Yann Frachi
    Supervisors: Mathieu Barthet
    Emotion-Driven Audio-Visual Game Design Using AI
  • Qifan Fu
    Supervisors: Gregory Slabaugh and Changjae Oh
    Photo-Realistic Hand Gesture Generation and Communication Application
  • Tatiana Gaintseva
    Supervisors: Gregory Slabaugh and Ziquan Liu
    Semantic Control of Denoising Diffusion Probabilistic Models
  • Nelly Garcia-Sihuay
    Supervisors: Joshua Reiss and Charalampos Saitis
    C4DM
  • Nico García-Peguinho
    Supervisors: Anna Sedo and Fabrizio Smeraldi
    C4DM
  • Adam Garrow
    Supervisors: Marcus Pearce and Charalampos Saitis
    A Computational Model of Music Cognition Using Statistical Learning of Structures
  • Merlin Goldman
    Supervisors: Anna Sedo and Mark Sandler
    C4DM
  • Andreas Goulas
    Supervisors: Ioannis Patras
    Video Understanding With Vlms
  • Max Graf
    Supervisors: Mathieu Barthet and Andrew Mcpherson
    When Xr Meets AI: Design and Machine Learning For Performer-Centred Gestural Control in Extended Reality Musical Instruments
  • Ian Grant
    Supervisors: Massimo Poesio and Matthew Purver
    Event Extraction and Temporal Information Extraction: in Support of Autism Diagnosis and Treatment
  • Julien Guinot
    Supervisors: Gyorgy Fazekas and Emmanouil Benetos
    Informed, Human-Centric Representation Learning and Applications For Music in The Era of Foundation Models
  • Nicolas Guo
    Supervisors: Simon Dixon and Shanxin Yuan
    Towards Tonality-Aware Music Understanding: Modeling Complex Tonal Harmony
  • Aida Halitaj
    Supervisors: Arkaitz Zubiaga and Massimo Poesio
    Towards Automating Citation Worthiness Detection For Sentences in Low-Resource Languages
  • Madeline Hamilton
    Supervisors: Marcus Pearce and Gyorgy Fazekas
    Perception and Analysis of 20th and 21st Century Popular Music
  • Benjamin Hayes
    Supervisors: Gyorgy Fazekas and Charalampos Saitis
    Perceptually Motivated Deep Learning Approaches to Creative Sound Synthesis
  • Ying He
    Supervisors: Qianni Zhang
    Attention-Guided Contextual Speech Mri Segmentation
  • Zhengdong He
    Supervisors: Simon Dixon
    Neuro-Evolved Heuristics For Meta-Composition (in Collaboration With Daaci)
  • Manh Thang Hoang
    Supervisors: Nay Aung and Gregory Slabaugh
    Development of a Multimodal Machine Learning Model For Heart Failure Classification and Prognosis Using Diverse Data Sources
  • Yu-Jhen Hsu
    Supervisors: Diego Perez-liebana
    Developing Agents For Digital Games Has Been Receiving Increasing Attention From Academia With The Advance of Artificial Intelligence (AI). in Such Games, An Agent Is Expected to Perform Actions and Fulfil Its Goals. as The Strategy Game Is Complex in Terms of The Game State Space and Action Space, Implementing Intelligent Agents Has Been Regarded as a Challenging Topic. Search Algorithms, E.G. Monte Carlo Tree Search (McTs), Are Commonly Used in Existing Works to Design Agents. However, Practical Issues, Such as The High Game Complexity, Hinder Its Application and Introduce Open Research Problems. The Proposed Study Will Focus on Improving McTs. We Investigate How to Determine The Convergence of The McTs, How to Measure Agents’ Decisions and How to Build Its Awareness to Realize Authorial Control. on Successful Completion, The Research Will Have a Great Impact on Both The Academia and Game Industry, Motivating Further Research Directions.
  • Jiawen Huang
    Supervisors: Emmanouil Benetos and Sebastian Ewert
    Enhancing Automatic Lyrics Transcription: Challenges, Insights, and Advances
  • Ilias Ibnyahya
    Supervisors: Joshua Reiss and Mark Sandler
    Intelligent Audio Effects
  • Ovais Ahmed Jaffery
    Supervisors: Caroline Roney and Gregory Slabaugh
    A Cohort of Virtual Human Atria With Personalised Electrophysiology For in-Silico Prediction of Ablation and Pharmacology Therapy Outcome
  • Dominik Jeurissen
    Supervisors: Jeremy Gow and Diego Perez-liebana
    Large Language Models (Llms) Have Sparked a Remarkable Revolution in AI, Demonstrating Reasoning Abilities That Exceeded The Expectations of Many Researchers. Research on Games Like Minecraft Suggests That Llms Knowledge About Games Allows Them to Play Games Without Any Pre-Training Required. However, Most Research on Llm-Powered Game-Playing Agents Has Utilized Them Primarily For Planning. However, Complex Strategy Games Like Total War Require a Lot of Dynamic Decision-Making, Requiring The Agent to Constantly Adapt to Their Current Situation. in This Study, We Aim to Address This Gap by Exploring The Potential of Llms For Playing Complex Strategy Games and How Llms Could Be Used to Playtest These Games. We Will Review The Current State of Research on Llm-Powered Agents, Identify Their Limitations, and Present Our Project Proposal. Finally, We Will Present Our Plans For Achieving This Goal.
  • Xiaolong Jia
    Supervisors: Ahmed Sayed and Mona Jaber
    Network
  • Nathan John-McDougall
    Supervisors: Jeremy Gow and Laurissa Tokarchuk
    Adversarial Behaviour Debugging With Neuroevolution
  • Cameron Johnston
    Supervisors: Joshua Reiss
    Impossible Physical Models - How Authentic Simulations of Unrealistic Physics Can Create Unique and Creative Game-Play Opportunities
  • Stephanie Keddy
    Supervisors: Ziquan Liu
    Diverse Hypothesis-Level Reasoning in Large Language Models
  • Cian Kennedy
    Supervisors: Maria Liakata and Gregory Slabaugh
    Cog Sci
  • Ahmed Khadr
    Supervisors: Stefan Poslad
    Modelling Cyber Risk Probability Using Bayesian Belief Networks For Evtol Use Case
  • Bobby Khaleque
    Supervisors: Jeremy Gow and Laurissa Tokarchuk
    Automatic Game Generation With a Focus on Mood and Exploration.
  • Harnick Khera
    Supervisors: Mark Sandler and Johan Pauwels
    Informed Source Separation For Multi-Mic Production
  • Zimpi Komo
    Supervisors: Yunpeng Zhu and Gregory Slabaugh
    Mirnas Sequence Embedding For Pathway Detection and Selectivity
  • Marios Krestenitis
    Supervisors: Ioannis Patras and Georgios Tzimiropoulos
    MMV
  • Joshua Kritz
    Supervisors: Miss.raluca Gaina and Diego Perez-liebana
    The Use of AI Strategy Data in Redefining Modern Tabletop Game Design
  • Siyou Li
    Supervisors: Juntao Yu and Massimo Poesio
    Cog Sci
  • Yazhou Li
    Supervisors: Joshua Reiss and Lin Wang
    Virtual Placement of Objects in Acoustic Scenes
  • Yufeng Li
    Supervisors: Arkaitz Zubiaga and Thomas Roelleke
    Cog Sci
  • Jinhua Liang
    Supervisors: Emmanouil Benetos
    Machine Listening With Limited Annotations: Leveraging Knowledge, Language, and Visual Cues
  • Yuan Liang
    Supervisors: Massimo Poesio and Arkaitz Zubiaga
    Project Title: Next Generation Text Mining in Drug Discovery
  • Zicen Liao
    Supervisors: Matthew Purver and Maria Liakata
    Cog Sci
  • Lele Liu
    Supervisors: Emmanouil Benetos and Simon Dixon
    Automatic Audio-to-Score Piano Transcription With Deep Neural Networks
  • Xiaojing Liu
    Supervisors: Joshua Reiss and Andrew Mcpherson
    Automatic Mixing For Teleconferencing, Livestream, and Gaming
  • Yuhan Liu
    Supervisors: Lin Wang
    C4DM
  • George Long
    Supervisors: Diego Perez-liebana
    Optimisation in Role-Playing and Tabletop Games Games
  • Jackson Loth
    Supervisors: Mathieu Barthet and Andrew Mcpherson
    Musical and Performer Style Synthesis and Generation For Guitar
  • Lumi Lu
    Supervisors: Joshua Reiss and Aidan Hogg
    Differentiable Physical Singing-Voice Modelling
  • Shangxuan Luo
    Supervisors: Joshua Reiss and Simon Dixon
    Adaptive Music Generation For Video Game
  • Yin-Jyun Luo
    Supervisors: Simon Dixon and Sebastian Ewert
    Towards Robust and Composable Disentangled Representations For Music and Speech
  • Yinghao Ma
    Supervisors: Emmanouil Benetos
    Self-Supervision in Machine Listening
  • Sara Mahdi
    Supervisors: Dimitrios Kollias and Valdas Noreika
    Drowsiness Detection and Affect Analysis
  • David Marttila
    Supervisors: Joshua Reiss and Gyorgy Fazekas
    Machine Learning of Physical Models For Voice Synthesis
  • Alexandros Mavromoustakos
    Supervisors: Lei Su
    Wearable Ultrasound Sensor
  • Tyler McIntosh
    Supervisors: Simon Dixon and Charalampos Saitis
    Expressive Performance Rendering For Music Generation Systems
  • Gregor Meehan
    Supervisors: Johan Pauwels and Frederik Dahlqvist
    Representation Learning For Musical Audio Using Graph Neural Network-Based Recommender Engines.
  • Dimitris Menexopoulos
    Supervisors: Joshua Reiss
    Exploiting Game Graphics Rendering For Sound Generation
  • Debin Meng
    Supervisors: Georgios Tzimiropoulos and Ioannis Patras
    MMV
  • Fandi Meng
    Supervisors: Simon Lucas and Miss.raluca Gaina
    AI For Deduction Games
  • Yeming Meng
    Supervisors: Georgios Tzimiropoulos and Ioannis Patras
    Unsupervised Learning of Facial Landmarks Through Self-Attention and Self-Training
  • Andres Mercado Velazquez
    Supervisors: Stefan Poslad and Gioia Mosler
    Analysis of The Impact of Urban Microclimates on Air Quality Via Low-Cost Sensor Network and Machine Learning Techniques For Fine-Grained Monitoring Using The Qmul Mile End Campus as a Case-Study
  • Phil Mercy
    Supervisors: Martin Neil and Fabrizio Smeraldi
    Bias of The World: Biased Interactions and The Emergence of Resilient Equilibria in Systems
  • Mitcheltree
    Supervisors: Joshua Reiss and Emmanouil Benetos
    Learning to Modulate Sound: Gradient-Based Optimization of Time-Varying Systems
  • Nasim Mohamed Ismail
    Supervisors: Gregory Slabaugh and James Timmons
    MMV
  • Byron Morris
    Supervisors: Vivek Singh
    Development of Generalisable Multi-Modal ML Models For Digit
  • Dmitrii Mukhutdinov
    Supervisors: Lin Wang and Andrea Cavallaro
    Speech Processing in The Presence of Strong Noise With Harmonic Components
  • Zain Murtaza
    Supervisors: Charalampos Saitis
    Design and Development of a Tactile Device For Studying Human Hand Behaviour
  • Dien Nguyen
    Supervisors: Diego Liebana and Miss.raluca Gaina
    Efficient Automatic Playtesting of Modern Tabletop Games
  • Zahir Nikraftar
    Supervisors: Anthony Constantinou and Edmund Robinson
    Enhancing Climate Forecasting Using Probabilistic Machine Learning
  • Ashley Noel-Hirst
    Supervisors: Charalampos Saitis
    Latent Spaces For Human-Computer Audio Manipulation
  • Mariano Ntrougkas
    Supervisors: Ioannis Patras
    MMV
  • Ciaran O'Flynn
    Supervisors: Norman Fenton and Martin Neil
    Causal Reasoning and Bayesian Networks Applied to Pet Health and Petcare
  • Martina Occhetta
    Supervisors: Conrad Bessant and Gregory Slabaugh
    Target Identification From Multi-Omics Data Using Systems Biology and Machine-Learning Approaches
  • Alibay Osmanli
    Supervisors: Shaogang Gong
    Vision
  • Michail Panagopoulos
    Supervisors: Dimitrios Kollias and Ziquan Liu
    MMV
  • Sotirios Papadopoulos
    Supervisors: Ioannis Patras and Georgios Tzimiropoulos
    MMV
  • Hyunkyung Park
    Supervisors: Arkaitz Zubiaga and Matthew Purver
    Enhancing Fact-Verification Performance in Conversation With Coreference Resolution
  • Marco Pasini
    Supervisors: Gyorgy Fazekas
    Fast and Controllable Music Generation
  • Ash Patel
    Supervisors: Joshua Reiss and Atm Alam
    Adaptive Acoustic Room Correction Based on Multi-Structure Sub-Band Adaptive Filtering With Active Noise Cancellation
  • Maja Pavlovic
    Supervisors: Massimo Poesio and Matthew Purver
    Cog Sci
  • Teresa Pelinski Ramos
    Supervisors: Andrew Mcpherson and Quoc Phan
    Embedding Neural Networks in Digital Musical Instruments as Technical Practice Research
  • Bruno Petrungaro Petrungaro
    Supervisors: Anthony Constantinou and Anne Hsu
    Enhancing The Process of Constructing Causal Models For Time-Series Healthcare Decision Support
  • Alessandro Pighetti
    Supervisors: Changjae Oh and Andrea Cavallaro
    Deep Reinforcement Learning Agents For Robust Decision Making in Automated Driving
  • Mary Pilataki-Manika
    Supervisors: Simon Dixon
    Musically-Aware Representations For Multi-Instrument Music Transcription
  • Christos Plachouras
    Supervisors: Johan Pauwels and Emmanouil Benetos
    Deep Learning For Low-Resource Music
  • Ruowen Qu
    Supervisors: Ziquan Liu and Shaogang Gong
    Vision
  • Younès Rabii
    Supervisors: Jeremy Gow
    Research in Intelligent Games and Games Intelligence,
  • Abbas Khan Rayabat Khan
    Supervisors: Gregory Slabaugh and Caroline Roney
    Deep Learning-Based Cardiac Image Segmentation
  • Eleanor Row
    Supervisors: Gyorgy Fazekas and Simon Dixon
    Automatic Micro-Composition For Professional/Novice Composers Using Generative Models as Creativity Support Tools
  • Solomon Russom
    Supervisors: Dimitrios Kollias and Qianni Zhang
    Leveraging Healthcare Data For AI-Enabled, Effective and Improved Hiv Care
  • Philip SMITH
    Supervisors: Stefan Poslad
    Building a Framework to Creating Engaging Citizen Science Video Games
  • Edwin Salcedo Aliaga
    Supervisors: Muhammad Haleem and Qianni Zhang
    Minds
  • Zara Saqlan
    Supervisors: Tina Chowdhury and Anna David
    A Machine Learning Model to Predict Preterm Birth
  • Remo Sasso
    Supervisors: Paulo Rauber and Soren Riis
    Efficient Exploration and Foundation Model Priors: Enhancing Sample Efficiency in Deep Reinforcement Learning
  • Damith Senadeera
    Supervisors: Gregory Slabaugh and Dimitrios Kollias
    MMV
  • Henry Senior
    Supervisors: Shanxin Yuan and Gregory Slabaugh
    Exploring Structured Visual Representations For Image Captioning
  • Ivan Shanin
    Supervisors: Simon Dixon and Emmanouil Benetos
    Modeling Melodic Jazz Improvisation
  • Chunchang Shao
    Supervisors: Dimitrios Kollias and Ioannis Patras
    AI-Enabled Recognition of Negative Affect in-The-Wild
  • Juexi Shao
    Supervisors: Massimo Poesio and Matthew Purver
    Grounding of Conversational Agents in a Collaborative Construction Environment
  • Elona Shatri
    Supervisors: Gyorgy Fazekas and Andrea Cavallaro
    Advancing Optical Music Recognition: Integrating Enhanced Datasets, Specialised Architectures, and Knowledge-Driven Fusion
  • Shi Shi
    Supervisors: Joshua Reiss and Johan Pauwels
    C4DM
  • Jordie Shier
    Supervisors: Andrew Mcpherson and Charalampos Saitis
    Real-Time Timbral Mapping For Synthesized Percussive Performance
  • Shubhr Singh
    Supervisors: Emmanouil Benetos
    Graph Neural Networks For Music & Enviromental Sounds
  • Aaron Smiles
    Supervisors: Changjae Oh
    Exploring Stereo-Vision-Based Object Detection and Ranging in Underwater Environments
  • Luiza Stepanyan
    Supervisors: Jeremy Gow
    Investigating Using Video Games as a Platform For Prejudice Reduction
  • Shanti Stewart
    Supervisors: Gyorgy Fazekas
    AI-Powered Audio Loop Generation For Assistive Music Production
  • Yaqi Sun
    Supervisors: David Mguni and Claudia Garetto
    Minds
  • Amaya Gallagher-Syed Syed
    Supervisors: Michael Barnes and Myles Lewis
    Explainable Deep Learning Methods For Multi-Stain Whole Slide Images and Gene Expression of Autoimmune Diseases
  • Leon Tabaro
    Supervisors: Ahmed Sayed and Arkaitz Zubiaga
    Network
  • Pablo Tablas De Paula
    Supervisors: Joshua Reiss and Emmanouil Benetos
    Machine Learning of Physical Models
  • Jingjing Tang
    Supervisors: Gyorgy Fazekas and Geraint Wiggins
    Deep Generative Modelling For Expressive Piano Performance Synthesis
  • Manu Terés Iniesta
    Supervisors: Yongxin Yang and Simon Lucas
    Generative AI and Agent-Based Methods For Option Trading
  • Sunny Thaicharoen
    Supervisors: Jeremy Gow
    Quantification of Moba Metagames to Support Gameplay Balancing and Design
  • Haokun Tian
    Supervisors: Charalampos Saitis and Gyorgy Fazekas
    Timbre Tools For The Digital Instrument Maker
  • Antonella Torrisi
    Supervisors: Emmanouil Benetos and Elisabetta Versace
    Enhancing The Affective State of Chicks Through Communication With An Artificial Agent
  • Marko Tot
    Supervisors: Diego Perez-liebana
    Search, Learning, and World Models: Strengths, Limitations, and Ways Forward
  • Cyrus Vahidi
    Supervisors: Gyorgy Fazekas and Charalampos Saitis
    Perceptual End to End Learning For Music Understanding
  • Sai Vanka
    Supervisors: Gyorgy Fazekas and Mathieu Barthet
    User-Centric Intelligent Context-Aware Multitrack Music Mixing
  • Yannis Vasilakis
    Supervisors: Johan Pauwels and Simon Dixon
    Enhancing Compositionality Properties in Joint Music-Language Models
  • Yorgos Velissaridis
    Supervisors: Gyorgy Fazekas and Charalampos Saitis
    Smart Eq: Personalizing Audio With Context-Aware AI Using Listener Preferences and Psychological Factors
  • Yazhe Wan
    Supervisors: Changjae Oh and Ziquan Liu
    Vision
  • Anzi Wang
    Supervisors: Anna Sedo
    C4DM
  • Di Wang
    Supervisors: Gyorgy Fazekas and Laurissa Tokarchuk
    Investigating The Effect of Role-Playing and Immersive Environments to Enhance Storytelling, Interactivity and Tourist Experience: a Case Study of Gamification Strategies in Museums.
  • Kaiwei Wang
    Supervisors: Mona Jaber and Shanxin Yuan
    A Gan-Based Framework For Robust Traffic Data Imputation in Sparse Traffic Environments
  • Ningzhi Wang
    Supervisors: Simon Dixon
    Generative Models For Music Audio Representation and Understanding
  • Qing Wang
    Supervisors: Shanxin Yuan and Gregory Slabaugh
    Multi-Modal Learning For Music Understanding
  • Connor Watts
    Supervisors: Paulo Rauber and Simon Lucas
    Towards Interpreting in-Context Reinforcement Learning
  • Alex Williams
    Supervisors: Mathieu Barthet
    Expressive Automatic Dj Mixing of Electronic Dance Music and Digital Audio Workstation Applications
  • Oliver Withington
    Supervisors: Laurissa Tokarchuk and Jeremy Gow
    New Approaches and Applications For Evaluating The Generative Spaces of Pcg Systems
  • Lewis Wolstanholme
    Supervisors: Andrew Mcpherson and Charalampos Saitis
    Real-Time Instrument Transformation and Augmentation With Deep Learning
  • Yuekun Wu
    Supervisors: Changjae Oh and Andrea Cavallaro
    Vision-Based Robot Learning For Human-to-Robot Handover
  • Alexandros Xenos
    Supervisors: Georgios Tzimiropoulos and Ioannis Patras
    MMV
  • Yuhan Xia
    Supervisors: Massimo Poesio and Juntao Yu
    Cog Sci
  • Yifan Xie
    Supervisors: Mathieu Barthet
    Film Score Composer AI Assistant: Generating Expressive Mockups
  • Zhiyuan Xu
    Supervisors: Joshua Reiss and Charalampos Saitis
    Vocal Tract-Based Human Voice Synthesis
  • Fengkai Yang
    Supervisors: Massimo Poesio and Juntao Yu
    Coreference With Dialogue
  • Jiahao Yang
    Supervisors: Shanxin Yuan and Gregory Slabaugh
    MMV
  • Tingting Yang
    Supervisors: Jun Chen and Gregory Slabaugh
    Trustable Public Transit Through Integrated Multimodal Transit Networks and Trip Planning
  • Xiaohang Yang
    Supervisors: Shanxin Yuan and Gregory Slabaugh
    MMV
  • Peiling Yi
    Supervisors: Arkaitz Zubiaga and Emmanouil Benetos
    Cyberbullying Detection Across Different Social Media Platforms
  • Xiaowan Yi
    Supervisors: Mathieu Barthet and Emmanouil Benetos
    Composition-Aware Music Recommendation System For Music Production
  • Chin-Yun Yu
    Supervisors: Gyorgy Fazekas and Emmanouil Benetos
    Interpretable, Controllable, and Expressive Voice Synthesis: a Knowledge Driven Approach
  • Ruizhe Yu Xia
    Supervisors: Simon Lucas and Jeremy Gow
    Developing Human-Like Game Agents With a Wide Range of Play Styles and Skill Levels
  • Sofia Zahri
    Supervisors: Jesus Requena-carrion and Nikesh Bajaj
    Federated Learning Techniques For Malaria Prediction
  • Eevee Zayas-Garin
    Supervisors: Andrew Mcpherson and Anthony Stockman
    Challenging Normativity in Musical Apparatuses Through Dialogical and Transferable Design
  • Yujie Zeng
    Supervisors: Athen Ma and Vito Latora
    Data-Driven Discovery of Interaction Structures in Complex Ecosystems
  • Ziyu Zhai
    Supervisors: Juntao Yu and Massimo Poesio
    Cog Sci
  • Huan Zhang
    Supervisors: Simon Dixon and Emmanouil Benetos
    Computational Modeling of Expressive Piano Performance: Understanding, Generation and Assessment
  • Jincheng Zhang
    Supervisors: Charalampos Saitis
    Controllable Music Generation Using Deep Learning
  • Jinming Zhang
    Supervisors: Yunfei Long and Ziquan Liu
    Cog Sci
  • Qiaoxi Zhang
    Supervisors: Mathieu Barthet and Anna Sedo
    Multimodal AI For Musical Collaboration in Immersive Environments.
  • Zhaohan Zhang
    Supervisors: Ioannis Patras and Massimo Poesio
    MMV
  • Miao Zhao
    Supervisors: Caroline Roney and Gregory Slabaugh
    Generative Modelling For Scalable and Representative Cardiac in Silico Trial Cohorts
  • Zengqun Zhao
    Supervisors: Ioannis Patras and Georgios Tzimiropoulos
    Analysis of Human Affective Behaviour Using Visual-Language Models
  • Jasper Zheng
    Supervisors: Anna Sedo
    Explainability of AI Music Generation
  • Jinwen Zhou
    Supervisors: Aidan Hogg and Simon Dixon
    Combining Deep Learning and Music Theory
  • Chaoran Zhu
    Supervisors: Changjae Oh and Andrea Cavallaro
    Vision
  • Yisu Zong
    Supervisors: Joshua Reiss and Emmanouil Benetos
    Machine Learning For Physical Models of Sound Synthesis
  • Aisha Zulfiqar
    Supervisors: Ebroul Izquierdo and Qianni Zhang
    Machine Learning Based Biodiversity Classification