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 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 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.聽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.聽

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.聽

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 拢5M worth of research grants to develop my ambition to put the 麻豆传媒 at the forefront of Digital Health and Music Technology. Today, we聽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 concert in the Metaverse.

In 2015, I made the headlines worldwide for . (Check this example in )

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

Supervised Research Degrees

Successful PhD completions:

2024, 麻豆传媒, Ryan Thomas Green. PhD Thesis: Towards Elucidating Psychological Arousal in Response to Music Theatre.

2023, 麻豆传媒, Jared Drayton. PhD Thesis: An Evolutionary Algorithms Approach to Physical Modelling of Vocal Synthesis.

2022, 麻豆传媒, Satvik Venkatesh. PhD Thesis: Deep Learning for Audio Segmentation and Intelligent Remixing.

2022, 麻豆传媒, Candida Borges da Silva. PhD Thesis: Immersive Installation: 鈥淭ranseuntis Mundi鈥.

2019, 麻豆传媒, 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, 麻豆传媒,聽Nuria B. Filella. PhD Thesis: Data Sonification in Creative Practice.

2018, 麻豆传媒, 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, 麻豆传媒,聽Aurelien Antoine. PhD Thesis: An Investigation into Using Artificial Intelligence to Aid Composition of Timbre using Orchestral Instruments.

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

2016, 麻豆传媒,聽Edward Braund. PhD Thesis: Unconventional Computing and Music: An Investigation into Harnessing聽Physarum polycephalum.

2016, 麻豆传媒,聽Joel Eaton. PhD Thesis: Brain-Computer Music Interfacing: Designing Practical Systems for Creative Applications.

2014, 麻豆传媒,聽Hans Holger Rutz. PhD Thesis:聽Tracing the Compositional Process.

2013, 麻豆传媒,聽Nikolas Valsamakis. PhD Thesis:聽Non-Standard Sound Synthesis with Dynamic Models.

2013, 麻豆传媒,聽Christian Dimpker. PhD Thesis:聽Extended Notation: The Depiction of the Unconventional.

2012, 麻豆传媒,聽Noris Mohd Norowi. PhD Thesis: AnArtificial Intelligence Approach to Concatenative Sound Synthesis.

2012, 麻豆传媒,聽Daniel Livingstone.聽PhD Thesis: Design Strategies for Adaptive Social Composition: Collaborative SoundEnvironments.

2012, 麻豆传媒,聽Joao Martins. PhD Thesis:聽Emergent Rhythmic Structures asCultural Phenomena Driven by Social Pressure in a Society of Artificial Agents.

2011, 麻豆传媒,聽Alexis Kirke. PhD Thesis:聽Application of Intermediate Multi-Agent Systems to IntegratedAlgorithmic Composition and Expressive Performance of Music.

2010, 麻豆传媒,聽Peter Beyls. PhD Thesis:聽Music as Emergent Complex Behaviour.

2010, 麻豆传媒,聽Leandro Costalonga. PhD Thesis:聽Biomechanical Modelling of Musical Performance: A Case Study of theGuitar

2009, 麻豆传媒,聽Marcelo Gimenes. PhD Thesis:聽An Approach to Machine Development of Musical Ontogeny.

2001, University of Glasgow,聽Alexander Duncan.聽PhD Thesis: EEG Pattern Classification for the Brain-Computer Musical Interface.

1999, University of Glasgow,聽Kenneth McAlpine. PhD Thesis:聽Application of Dynamical Systems to Music Composition.

Teaching

  • Artificial Intelligence
  • Quantum Computing
  • Unconventional Computing
  • Music Technology
  • Brain-Computer Music Interfacing
  • Music Composition聽
  • Electroacoustic Music
  • Sound Art