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
• 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
  Cog Sci
• Dina Almanea
  Supervisors: Massimo Poesio and Arkaitz Zubiaga
  From Belief to Label: How Annotators’ Degree of Conservatism Shape Disagreement in Sexism Judgments
• Fatima Althani
  Supervisors: Massimo Poesio and Laurissa Tokarchuk
  Exploring The Impact of Visual Aids on Engagement in Gamified Text Annotation
• Fatimah Amla
  Supervisors: Evangelia Kyrimi and David Marsh
  Minds
• Marco Anselmi
  Supervisors: Devis Tommaso and Gregory Slabaugh
  Chemistry Project
• 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
  Cog Sci
• 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
• 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
  AI-Powered Audio Loop Generation For Music Production
• 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
• 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?
• Carlos De La Vega Martin
  Supervisors: Mark Sandler and Johan Pauwels
  Neural Drum Synthesis
• William Dee
  Supervisors: Gregory Slabaugh and Maria Sequeira
  AI Detection of Druggable Features From High Content Imaging Data
• 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
  Hybrid Neural Methods For Sound 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 and Emmanouil Benetos
  Computational Models For Jazz Piano: Transcription, Analysis, and Generative Modeling
• 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
• Corey Ford
  Supervisors: Anthony Stockman and Simon Colton
  Reflection in AI-Based Music Composition
• 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
  Eecs Studentship - Nature-Based Computing
• Adam Garrow
  Supervisors: Marcus Pearce and Charalampos Saitis
  A Computational Model of Music Cognition Using Statistical Learning of Structures
• Merlin Goldman
  Supervisors: Anna Sedo
  Light-Based Modular Sound Synthesis
• Andreas Goulas
  Supervisors: Ioannis Patras
  Video Understanding With Vlms
• Max Graf
  Supervisors: Mathieu Barthet and Andrew Mcpherson
  When Xr Meets AI: Machine Learning For Gesture Control Mechanisms in Xr 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
  Improving AI-Generated Music With Pleasure Models
• 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
• 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.
• Yizhao Jin
  Supervisors: Simon Lucas and Gregory Slabaugh
  Advanced Deep Reinforcement For Real-Time Strategy Games
• 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
• 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
• Jiayi Lin
  Supervisors: Shaogang Gong and Gregory Slabaugh
  Spatial Grounding in Vision-Language Foundation Models
• 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
  Machine Learning of Physical Models For Sound Synthesis
• Dezhao Luo
  Supervisors: Shaogang Gong and Georgios Tzimiropoulos
  Video Understanding by Vision-Language Models
• Jiachen Luo
  Supervisors: Joshua Reiss
  Unimodal and Bimodal Speech Emotion Recognition in Conversations
• 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
• Sebastian Löbbers
  Supervisors: Gyorgy Fazekas and Mathieu Barthet
  Sketching Sounds: From Perception to Application in Sound Synthesis Control
• Yinghao Ma
  Supervisors: Emmanouil Benetos
  Self-Supervision in Machine Listening
• Sara Mahdi
  Supervisors: Dimitrios Kollias and Valdas Noreika
  Drowsiness Detection and Affect Analysis
• Luca Marinelli
  Supervisors: Charalampos Saitis and Gyorgy Fazekas
  Gender-Coded Sound: a Multimodal Data-Driven Analysis of Gender Encoding Strategies in Sound and Music For Advertising
• 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
  Rim (Minds)
• Jeffrey Miller
  Supervisors: Mark Sandler and Johan Pauwels
  A Geometric Tonal Model For Harmonic Description and Sequence Analysis of Music
• 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
• James Oldfield
  Supervisors: Ioannis Patras
  Interpretable and Controllable Generative Models
• Alibay Osmanli
  Supervisors: Shaogang Gong
  Uncertainty-Aware Computer Vision For Autonomous Systems
• 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
  Adversarial Policies For Automated Driving
• Jonathan Pigrem
  Supervisors: Nicholas Bryan-kinns and Andrew Mcpherson
  The Role of Materials in Digitally Mediated Musical Interactions
• Mary Pilataki-Manika
  Supervisors: Simon Dixon
  Polyphonic Music Transcription Using Deep Learning
• 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
• Remo Sasso
  Supervisors: Paulo Rauber and Soren Riis
  Scalable and Efficient Exploration For Model-Based Reinforcement Learning
• Damith Senadeera
  Supervisors: Gregory Slabaugh and Dimitrios Kollias
  MMV
• 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 Data and Object Detection in Underwater Environments
• Christian Steinmetz
  Supervisors: Joshua Reiss and Shanxin Yuan
  Controlling Audio Effects With Deep Learning
• Luiza Stepanyan
  Supervisors: Anne Hsu
  Investigating Using Video Games as a Platform For Prejudice Reduction
• Shanti Stewart
  Supervisors: Gyorgy Fazekas
  AI-Powered Audio Loop Generation For Assistive Music Product
• Yaqi Sun
  Supervisors: David Mguni and Claudia Garetto
  Minds
• David Südholt
  Supervisors: Joshua Reiss and Gyorgy Fazekas
  Machine Learning of Physical Models For Voice Synthesis
• 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
  End-to-End System Design For Music Style Transfer With Neural Networks.
• 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 and Iran Guzman
  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
  Using Pca to Understand and Compare Generative Spaces
• 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
  Evaluating Language Models' Ability to Capture Multiple Pers
• Yifan Xie
  Supervisors: Mathieu Barthet
  Film Score Composer AI Assistant: Generating Expressive Mockups
• Linjie Xu
  Supervisors: Diego Perez-liebana
  Efficient Data Usage in Planning and Reinforcement Learning
• Xijie Xu
  Supervisors: Stefan Poslad and Athen Ma
  Spatiotemporal Interaction Analysis of Urban Human Mobility and Environmental Factors Based on Geospatial Big Data
• 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
• 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
• 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
• 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