Professor Eduardo Miranda

The Global Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) 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 Forbes Magazine 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 University of Plymouth at the forefront of Digital Health and Music Technology. Today, we are internationally recognised for spearheading the field of Brain-Computer Music Interfacing 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 NFT artist and I was the first classical music composer ever to give a concert in the Metaverse.

In 2015, I made the headlines worldwide for improvising music with a single-cell organism. (Check this example in The Guardian.)

Follow me on LinkedIn for news on my research and outreach activity.

Supervised Research Degrees

Successful PhD completions:

2024, University of Plymouth, Ryan Thomas Green. PhD Thesis: Towards Elucidating Psychological Arousal in Response to Music Theatre.

2023, University of Plymouth, Jared Drayton. PhD Thesis: An Evolutionary Algorithms Approach to Physical Modelling of Vocal Synthesis.

2022, University of Plymouth, Satvik Venkatesh. PhD Thesis: Deep Learning for Audio Segmentation and Intelligent Remixing.

2022, University of Plymouth, Candida Borges da Silva. PhD Thesis: Immersive Installation: “Transeuntis Mundi”.

2019, University of Plymouth, 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, University of Plymouth, Nuria B. Filella. PhD Thesis: Data Sonification in Creative Practice.

2018, University of Plymouth, 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, University of Plymouth, Aurelien Antoine. PhD Thesis: An Investigation into Using Artificial Intelligence to Aid Composition of Timbre using Orchestral Instruments.

2017, University of Plymouth, Federico Visi, PhD Thesis: Methods and Technologies for the Analysis and Interactive Use of Body Movements in Instrumental Music Performance.

2016, University of Plymouth, Edward Braund. PhD Thesis: Unconventional Computing and Music: An Investigation into Harnessing Physarum polycephalum.

2016, University of Plymouth, Joel Eaton. PhD Thesis: Brain-Computer Music Interfacing: Designing Practical Systems for Creative Applications.

2014, University of Plymouth, Hans Holger Rutz. PhD Thesis: Tracing the Compositional Process.

2013, University of Plymouth, Nikolas Valsamakis. PhD Thesis: Non-Standard Sound Synthesis with Dynamic Models.

2013, University of Plymouth, Christian Dimpker. PhD Thesis: Extended Notation: The Depiction of the Unconventional.

2012, University of Plymouth, Noris Mohd Norowi. PhD Thesis: AnArtificial Intelligence Approach to Concatenative Sound Synthesis.

2012, University of Plymouth, Daniel Livingstone. PhD Thesis: Design Strategies for Adaptive Social Composition: Collaborative SoundEnvironments.

2012, University of Plymouth, Joao Martins. PhD Thesis: Emergent Rhythmic Structures asCultural Phenomena Driven by Social Pressure in a Society of Artificial Agents.

2011, University of Plymouth, Alexis Kirke. PhD Thesis: Application of Intermediate Multi-Agent Systems to IntegratedAlgorithmic Composition and Expressive Performance of Music.

2010, University of Plymouth, Peter Beyls. PhD Thesis: Music as Emergent Complex Behaviour.

2010, University of Plymouth, Leandro Costalonga. PhD Thesis: Biomechanical Modelling of Musical Performance: A Case Study of theGuitar

2009, University of Plymouth, 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.