Eduardo Miranda

Academic profile

Professor Eduardo Miranda

Professor in Computer Music
School of Art, Design and Architecture (Faculty of Arts, Humanities and Business)

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):

Goal 04: SDG 4 - Quality Education

About Eduardo

I am a composer and Professor in Computer Music. 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. 

Fun factsI am an NFT artist and I was the first classical music composer ever to give a concert in the Metaverse

I am head of the Interdisciplinary Centre for Computer Music Research (ICCMR), which I created at the University of Plymouth in 2004. 

Today ICCMR is internationally known for its pioneering research and for making a difference in the world.

I am an experienced researcher and PhD supervisor (Director of Studies). 

I have supervised 20 doctoral students to successful completion.  

I have considerable experience with post-graduate external examinations, with 38 PhD theses examined worldwide within the last 10 years. 

Should you wish to join ICCMR to study for a postgraduate degree under my supervision, please do not hesitate to contact me to discuss your interests.

Follow me on X - formely Twitter (@bio_computer) and 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, Nuria B. Filella. PhD Thesis: Data Sonification in Creative Practice.

2017, University of Plymouth, Aurelien Antoine. PhD Thesis: An Investigation into using Artificial Intelligence to Aid Composition of Timbre using Orchestral Instruments.

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.

Teaching

I convene PhD programmes on the following topics of my expertise:

  • Quantum computing and music
  • Music composition with new technologies
  • Electronic sound synthesisers
  • Electroacoustic music composition
  • Artificial Intelligence applied to musical creativity
  • Evolutionary Computing / Artificial Life
  • Brain-Computer Music Interfacing / Assistive Technology