Main menu
Staff & students

Professor Matthew Yee-King

Matthew interests are in education technology, automatic sound synthesizer programming and interactive music systems.

Staff details

Professor Matthew Yee-King

Position

Programme Director, BSc Computer Science online

Department

Computing

Email

m.yee-king (@gold.ac.uk)

Website

http://www.yeeking.net

Matthew Yee-King (DPhil, MSc, BSc) is an academic in the department of computing, Goldsmiths, University of London.

In 2013 he delivered the first English language MOOC on the coursera platform, attracting an enrolment of 97,000. As the project manager for the €3m PRAISE research project, he managed the development and trialling of innovative education technology, including media annotation systems.

He is the CTO of Museifi, a spin out company that is innovating PRAISE technology into the marketplace. He has also carried out research into audio analysis and creative applications of machine learning, including a series of commissioned musical AI systems that have performed alongside human musicians on BBC national radio and at venues such as the Wellcome Collection.

Academic qualifications

  • BSc Zoology and Genetics, Leeds University, 1996
  • MSc Evolutionary and Adaptive Systems, Sussex University, 2000
  • DPhil Computer Science and Artificial Intelligence, Sussex University, 2010

Teaching

Matthew is responsible for development of online course provision within the Computing department, having developed and delivered MOOCs that have been taken by hundreds of thousands of students. He has previously taught a range of courses including programming, audiovisual computing and web development.

Publications and research outputs

Book Section

Yee-King, Matthew. 2022. Latent Spaces: A Creative Approach. In: Craig Vear and Fabrizio Poltronieri, eds. The Language of Creative AI: Practices, Aesthetics and Structures. Cham, Switzerland: Springer, pp. 137-154. ISBN 9783031109591

Still, Arthur; Yee-King, Matthew and d'Inverno, Mark. 2019. Creativity and Feedback: Designing Systems to Support Student Learning and Improve Instruction. In: Kevin A. Gluck and John A. Laird, eds. Interactive Task Learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions. 26 MIT Press, p. 217. ISBN 9780262349420

Yee-King, Matthew and Dall’Avanzi, Igor . 2018. Procedural Audio in Video Games. In: Newton Lee, ed. Encyclopedia of Computer Graphics and Games. Cham, Switzerland: Springer. ISBN 9783319082349

Article

McCormack, Jon; Hutchings, Patrick; Gifford, Toby; Yee-King, Matthew; Llano, Maria Teresa and d'Inverno, Mark. 2020. Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence. Organised Sound, 25(1), pp. 41-52. ISSN 1355-7718

Yee-King, Matthew; Wilmering, Thomas; Llano, Maria Teresa; Krivenski, Maria and d'Inverno, Mark. 2019. Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance. Frontiers in Digital Humanities, 5(29),

Yee-King, Matthew; Fedden, Leon and d'Inverno, Mark. 2018. Automatic Programming of VST Sound Synthesizers using Deep Networks and Other Techniques. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(2), pp. 150-159. ISSN 2471-285X

Conference or Workshop Item

Lionetti, Davide; Pappas, Antonios; Comanducci, Luca; Bernardini, Alberto; Zanoni, Massimiliano; Sarti, Augusto; Yee-King, Matthew and d'Inverno, Mark. 2023. 'HandMonizer: a case study for personalized digital musical instrument design'. In: 4th International Symposium on the Internet of Sounds. Pisa, Italy 26-27 October 2023.

Fiorucci, Andrea; Yee-King, Matthew and Gillies, Marco. 2023. 'Beyond Motivation and Engagement: Students’ Voices on the Use of Game-Based Learning in a Bachelor Computer Science Online Degree'. In: 2023 ACM Conference on Information Technology for Social Good (GoodIT ’23). Lisbon, Portugal 6 - 8 September 2023.

Strauss, Lucy and Yee-King, Matthew. 2023. 'Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design'. In: The International Conference on AI and Musical Creativity (AIMC 2023). University of Sussex, United Kingdom 30 August - 1 September 2023.

Composition

de Wardener, Max and Yee-King, Matthew. 2021. Sun Begins to Fade.

Digital

Yee-King, Matthew. 2016. speakesystem: ICCC ontology release http://zenodo.org/record/46232.

Yee-King, Matthew. 2015. Evosynth: ACM-CIE DOI with data.

Report

Osman, Nardine; d'Inverno, Mark; Sierra, Carles; Amgoud, Leila; Prade, Henri; Yee-King, Matthew; Confalonieri, Roberto; de Jonge, Dave and Hazelden, Katina. 2013. An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality. Working Paper. IIIA, Vienna, Austria.

Software

Roth, Martin and Yee-King, Matthew. 2008. A Java-based VST Host. VST instruments and effects can be loaded and manipulated by this library in Linux, OS X, and Windows.

Research Interests

Education technology, creative musical Ais, computer Music, automatic sound synthesizer programming, genetic algorithms, interactive music systems.

Current research

Automated sound synthesizer programming and interactive music systems.