The Global Goals
In 2015, UN member states agreed to 17 global to end poverty, protect the planet and ensure prosperity for all. Eduardo's work contributes towards the following SDG(s):
About Eduardo
I am a composer and Professor in Computer Music. I run the Interdisciplinary Centre for Computer Music Research (ICCMR).
Artificial Intelligence (AI) is shaping the future of many professions, and the creative industry is no exception.My research examines how to harness AI for creativity and educate future generations of AI-ready professionals.
To study for a doctorate under my supervision, please do not hesitate to contact me to discuss your interests.
I am an experienced PhD supervisor (Director of Studies). I have guided dozens of doctoral students to successful completion and have considerable experience with post-graduate external examinations.
My doctoral graduates have secured jobs all over the world, from Asia (e.g., Education University of Hong Kong) and North America (e.g., McGill University, Canada), to Europe (e.g., University of the Arts, Berlin), and in a wide range of companies such as Arm microprocessors, L-Acoustics and the Met Office.
I have been developing and composing music using AI since the 1980s. In 1995, I defended what is likely the first PhD thesis in the UK on developing AI for music at the University of Edinburgh. I championed the application of neo-Darwinian evolutionary algorithms to model the origins of music and the development of bio-inspired computational models for musical creativity.
Recently, I made the headlines of as a pioneer in leveraging AI with Quantum Computing for music.
Within the last decade or so I have raised over £5M worth of research grants to develop my ambition to put the Ƶ at the forefront of Digital Health and Music Technology. Today, we are internationally recognised for spearheading the field of and AI applications to support people living with dementia.
Fun facts: I have composed a number of symphonies and an opera and have had the privilege to share the stage with the BBC Concert Orchestra, BBC Singers, London Sinfonietta, Jarvis Cocker, American beatboxer Butterscotch, and a few other great artists. Furthermore, I am an and I was the first classical music composer ever to give a .
Follow me on for news on my research and outreach activity.
Supervised Research Degrees
Successful PhD completions:
2024, Ƶ, Ryan Thomas Green. PhD Thesis: Towards Elucidating Psychological Arousal in Response to Music Theatre.
2023, Ƶ, Jared Drayton. PhD Thesis: An Evolutionary Algorithms Approach to Physical Modelling of Vocal Synthesis.
2022, Ƶ, Satvik Venkatesh. PhD Thesis: Deep Learning for Audio Segmentation and Intelligent Remixing.
2022, Ƶ, Candida Borges da Silva. PhD Thesis: Immersive Installation: “Transeuntis Mundi”.
2019, Ƶ, Nicholas Reeves. PhD Thesis: From the Harmony of the Spheres to Spherical Harmonies: The Potential of Wave-based Morphogenic Processes for Musical and Architectural Composition.
2019, Ƶ, Nuria B. Filella. PhD Thesis: Data Sonification in Creative Practice.
2018, Ƶ, Michael Mcloughlin. PhD Thesis: The Development and Application of Computational Multi-Agent Models for Investigating the Cultural Transmission and Cultural Evolution of Humpback Whale Song.
2017, Ƶ, Aurelien Antoine. PhD Thesis: An Investigation into Using Artificial Intelligence to Aid Composition of Timbre using Orchestral Instruments.
2017, Ƶ, Federico Visi, PhD Thesis: Methods and Technologies for the Analysis and Interactive Use of Body Movements in Instrumental Music Performance.
2016, Ƶ, Edward Braund. PhD Thesis: Unconventional Computing and Music: An Investigation into Harnessing Physarum polycephalum.
2016, Ƶ, Joel Eaton. PhD Thesis: Brain-Computer Music Interfacing: Designing Practical Systems for Creative Applications.
2014, Ƶ, Hans Holger Rutz. PhD Thesis: Tracing the Compositional Process.
2013, Ƶ, Nikolas Valsamakis. PhD Thesis: Non-Standard Sound Synthesis with Dynamic Models.
2013, Ƶ, Christian Dimpker. PhD Thesis: Extended Notation: The Depiction of the Unconventional.
2012, Ƶ, Noris Mohd Norowi. PhD Thesis: AnArtificial Intelligence Approach to Concatenative Sound Synthesis.
2012, Ƶ, Daniel Livingstone.PhD Thesis: Design Strategies for Adaptive Social Composition: Collaborative SoundEnvironments.
2012, Ƶ, Joao Martins. PhD Thesis: Emergent Rhythmic Structures asCultural Phenomena Driven by Social Pressure in a Society of Artificial Agents.
2011, Ƶ, Alexis Kirke. PhD Thesis: Application of Intermediate Multi-Agent Systems to IntegratedAlgorithmic Composition and Expressive Performance of Music.
2010, Ƶ, Peter Beyls. PhD Thesis: Music as Emergent Complex Behaviour.
2010, Ƶ, Leandro Costalonga. PhD Thesis: Biomechanical Modelling of Musical Performance: A Case Study of theGuitar
2009, Ƶ, Marcelo Gimenes. PhD Thesis: An Approach to Machine Development of Musical Ontogeny.
2001, University of Glasgow, Alexander Duncan.PhD Thesis: EEG Pattern Classification for the Brain-Computer Musical Interface.
1999, University of Glasgow, Kenneth McAlpine. PhD Thesis: Application of Dynamical Systems to Music Composition.
Teaching
- Artificial Intelligence
- Quantum Computing
- Unconventional Computing
- Music Technology
- Brain-Computer Music Interfacing
- Music Composition
- Electroacoustic Music
- Sound Art
