Find Academic Supervisors

Sam PlutaView profile

Associate Professor

• Computer Music
• Electronic Music Composition
• Interactive Performance Systems
• +12 more

Sam Pluta is Associate Professor and Chair of Music, Technology & Media at the Peabody Institute of Johns Hopkins University. He is a composer, sound artist, and performer specializing in computer music and live electronics, with a focus on integrating reactive digital sound environments into instrumental and improvisational contexts. His research and artistic work centers on the development of interactive musical systems that enable shared agency between human performers and computers. His expertise spans composition, software engineering (particularly in SuperCollider, C++, Python, and Rust), real-time neural network inference for audio, and extreme time-stretching techniques. He has developed custom software, VST plugins, and SuperCollider UGens for oversampling oscillators and live performance. Pluta’s performances and compositions have been presented at major international venues and festivals including the Lucerne Festival, Moers Festival, Donaueschingen Festival, Bimhuis, Warsaw Autumn, and The Vortex. He has collaborated with leading figures in new music and improvisation such as George Lewis, Peter Evans, Ikue Mori, Craig Taborn, and Evan Parker, and is Technical Director and principal electronics performer for the Wet Ink Ensemble. He has previously taught at the University of Chicago, Bennington College, Manhattan School of Music, and The Walden School. His work bridges the domains of composition, performance, software development, and audio engineering, positioning him at the forefront of contemporary computer music practice.

Jimmy EadieView profile

Assistant Professor

• Audio Engineering
• Music Production
• Audio Software Development
• +7 more

Dr. Jimmy Eadie is an Assistant Professor (Part-Time) in Electronic & Electrical Engineering at Trinity College Dublin. He specializes in sound design, audio engineering, and music production, with a focus on interdisciplinary projects. His work spans hybrid installations, theatre soundscapes, and audio software development, earning international recognition. Eadie holds a PhD in Sonic Design and multiple postgraduate qualifications in music technology, education, and sound engineering. Education highlights include a PhD in Sonic Design, an MPhil (Hons) in Music & Media Technology, and certifications from Berklee College, TCD, and professional bodies like Rational Acoustics and Meyer Sound. His teaching experience includes roles at Pulse College, Griffith College, and the University of Lancashire. Research interests center on audio software development, music production techniques, and sound design for theatre and media. His theatre work with Pan Pan Theatre and Crash Ensemble has received Irish Times Awards and international acclaim. Key projects include the New Irish Recording Company (NIRC) and the Eno’ 100 Worthwhile Dilemmas Plugin , showcasing technical and creative innovation. Grants & Awards: Multiple Arts Council Bursaries, Agility Award, and Trinity’s Teaching Excellence Nomination. Professional Roles: Former audio engineer for Crash Ensemble and touring sound engineer for Irish artists. Labs/Teams: Founder of Crash Ensemble and collaborator with Pan Pan Theatre.

Jason HockmanView profile

Academic

• Music Information Retrieval
• Computational Audio Analysis
• Music Production
• +7 more

Jason Hockman is a Reader in Music and Sound Design at the School of Digital Arts (SODA) at Manchester Metropolitan University . He is a leading researcher in Music Information Retrieval (MIR) , computational audio analysis, and music production technologies. He is also a professional music producer and performer under the aliases Jason oS and DAAT , and co-founder of Detuned Transmissions , an artist collective and independent record label. Research Interests: Computational analysis and generation of audio for music production Ethnographies of breakbeat-oriented UK dance music Neural audio synthesis and adversarial networks Automatic drum transcription and onset detection Gesture-based music interaction systems Interactive audio for games and multimedia Publications Trends: His recent work focuses on generative audio models , including GAN-based drum synthesis, neural impact sound synthesis, and latent space exploration for audio. He has also contributed extensively to automatic transcription systems for percussion and string instruments, and interactive performance tools that integrate gesture control and real-time audio manipulation. Scientific Contributions: Co-author of the widely cited Review of Automatic Drum Transcription (2018) Developer of interactive systems like MyoSpat for gesture-based control Pioneer in combining ethnographic research with computational music analysis Teaching & Supervision: Jason integrates his research and music production experience into undergraduate and postgraduate teaching. He supervises students in music technology, sound design, and MIR, and emphasizes a holistic approach that bridges creative practice and academic inquiry. Creative Practice: Through Detuned Transmissions , he releases and distributes electronic music internationally, maintaining an active presence in both academic and artistic communities.

Matthew Yee-KingView profile

Senior Lecturer

• Education Technology
• Creative AI
• Computer Music
• +3 more

Matthew Yee-King is a Senior Lecturer and Programme Director of the BSc Computer Science online program at Goldsmiths, University of London. He holds a DPhil in Computer Science and Artificial Intelligence from the University of Sussex. His research focuses on education technology, creative AI systems, and interactive music, with notable contributions to projects like the PRAISE research initiative and the Museifi spin-off company. He has delivered large-scale MOOCs on Coursera and pioneered AI-enhanced audio tools such as EvoSynth. Education: BSc Zoology and Genetics, University of Leeds (1996) MSc Evolutionary and Adaptive Systems, University of Sussex (2000) DPhil Computer Science and AI, University of Sussex (2010) Research Interests: His work spans educational feedback systems, algorithmic composition, and the application of machine learning in sound synthesis. He explores creative AI through projects like live coding performances, neural network-based synthesizers, and collaborative music systems. Recent Contributions: Recent work includes developing AI-enhanced audio plugins (via C++), real-time collaborative AI music systems, and deploying language models in computer science education. He regularly presents at conferences like IEEE EDUCON and the International Conference on Music & AI. Grants & Projects: Led the €3m PRAISE project, managed the WeCurate application for cultural collaboration, and contributed to the Music Circle feedback system. His research bridges academia and industry through initiatives like Museifi, commercializing educational tech innovations. Labs & Teams: Associated with the Department of Computing’s creative tech group, collaborating on projects like HandMonizer (personalized digital instruments) and AI-driven music education tools.

Steven FentonView profile

Senior Lecturer

• Low Power Systems
• Health Innovation
• Remote Health/Wound Monitoring
• +6 more

Steven Fenton is a Senior Lecturer and Subject Area Leader in Engineering at the Department of Engineering & Technology, School of Computing and Engineering, University of Huddersfield. He holds a 1st Class Honours degree in Electronic & Information Engineering from the University of Huddersfield and has extensive industry experience in audio engineering, DSP, and embedded systems design. Current research focuses on low power systems, remote health monitoring, audio signal processing, and immersive audio technology. Active member of the Audio Engineering Society and Centre for Audio and Psychoacoustic Engineering. His work spans audio quality measurement , dynamic range optimization , and assistive technologies for the visually impaired. Recent publications highlight innovations in immersive audio mixing and ultra-low energy distributed monitoring systems. Scientific contributions include a Fellow of the Higher Education Academy and an h-index of 67. Available for PhD supervision in engineering and audio technology domains.