Joseph Smith, Cathryn Birch, John Marsham, and David Moffat, "SII-NowNet: A deep learning framework for nowcasting convection initiation and intensification in the Tropics." Artificial Intelligence for the Earth Systems (AIES)
Abigail Marie Waring, Darren Ghent, David Moffat, Carlos Jimenez and John Remedios, "A Deep Learning Approach to Downscaling Microwave Land Surface Temperatures for a Clear-Sky Merged Infrared-Microwave Product." Remote Sensing 2025, 17(23), 3893
Dawson, G., Vandaele, R., Taylor, A., Moffat, D., Tamura-Wicks, H., Jackson, S., Lickorish, R., Fraccaro, P., Williams, H., Luo, C. and Jones, A., 2025. "A Sentinel-3 foundation model for ocean colour". arXiv preprint arXiv:2509.21273
Lucie A. Delobel, David Moffat, Emma Tebbs, Andreas C.W. Baas, "Segmenting and characterising ripple patterns on sand dunes using machine learning and 2D semi-variogram." Remote Sensing of Environment Volume 331 (2025): 115031
D. Sengupta, F. G. Bandao, S. Sathyendranath, G. Kulk, A. Conte, C. Ippolitti, L. Candeloro, D. Moffat, W. Wint, M. Maranesi, R. Scarano, J. Vitorino, G. Brandt and T. M Harish "Sensing human health from space: An assessment of applications and big data platforms." Remote Sensing Applications: Society and Environment 2025
Lauren Biermann, David Moffat, Clive E. Sabel and Thomas E. Stovin "The theoretical role of the wind in aerosolising microplastics and nanoplastics from coastal combined sewer overflows." Nature Scientific Reports 15, 23623. July 2025
Ming-Xi Yang, David Moffat, Yuanxu Dong and Jean-Raymond Bidlot "Deciphering the variability in air-sea gas transfer due to sea state and wind history." PNAS Nexus, pgae389. September 2024
Aser Mata, David Moffat, Sílvia Almeida, Marko Radeta, William Jay, Nigel Mortimer, Katie Awty-Carroll, Oliver R. Thomas, Vanda Brotas, Steve Groom "Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas." Ecological Informatics. 102708, July 2024
Timothy J. Smyth, David Moffat, Glen A. Tarran, Shubha Sathyendranath, François Ribalet and John Casey "Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale." Frontiers in Marine Science. Volume 10, July 2023
Phil Wilkes, Mathias Disney, John Armston, Harm Bartholomeus, Lisa Bentley, Benjamin Brede, Andrew Burt, Kim Calders, Cecilia Chavana-Bryant, Daniel Clewley, Laura Duncanson, Brieanne Forbes, Sean Krisanski, Yadvinder Malhi, David Moffat, Niall Origo, Alexander Shenkin, Wanxin Yang, "TLS2trees: a scalable tree segmentation pipeline for TLS data." Methods in Ecology and Evolution. Wiley. October 2023.
Satvik Venkatesh, David Moffat, Eduardo Miranda, "Word Embeddings for Automatic Equalization in Audio Mixing." Journal of the Audio Engineering Society, Vol 70 no.9 pp. 753-763; September 2022
David Moffat, Brecht de Man and Joshua D. Reiss, "Semantic Music Production: A Meta-study." Journal of the Audio Engineering Society, vol. 70, no. 7/8, pp. 548-564, July 2022
Satvik Venkatesh, David Moffat, Eduardo Miranda, "You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection." Applied Sciences, 12, 3293. 2022. DOI 10.3390/app12073293
Satvik Venkatesh, David Moffat, Eduardo Miranda, "Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast." Electronics, 2021.
M. Lefford, Gary Bromham, György Fazekas, David Moffat, "Context Aware Intelligent Mixing Systems." Journal of the Audio Engineering Society, 2021.
Marco Martínez, Daniel Stoller, David Moffat, "A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net." Journal of the Audio Engineering Society, 2021.
Thomas Wilmering, David Moffat, Alessia Milo, Mark Sandler, "A History of Audio Effects." Applied Sciences, 2020.
David Moffat, Mark Sandler, "Approaches in Intelligent Music Production." Arts, 2019.
Rod Selfridge, David Moffat, Eldad Avital, Joshua Reiss, "Creating Real-Time Aeroacoustic Sound Effects Using Physically Derived Models." Journal of the Audio Engineering Society, 2018.
David Moffat, Joshua Reiss, "Perceptual Evaluation of Synthesized Sound Effects." ACM Transactions on Applied Perception (TAP), 2018.
Rod Selfridge, David Moffat, Joshua Reiss, "Sound Synthesis of Objects Swinging Through Air Using Physical Models." Applied Sciences, 2017.
Luca Turchet, David Moffat, Ana Tajadura-Jiménez, Joshua Reiss, Tony Stockman, "What do your footsteps sound like? An investigation on interactive footstep sounds adjustment." Applied Acoustics, 2016.
M. Nyssim Lefford, David Moffat and Gary Bromham, "From Intelligent Digital Assistant to Intelligent Digital Collaborator." In Innovation in Music Performance: Technology and Creativity. (pp. 278-291) Editors Jan-Olof Gullö, Russ Hepworth-Sawyer, Justin Paterson, Rob Toulson and Mark Marrington. Focal Press. March 2024
Clive Mead, David Moffat and Gary Bromham, "A History of Distortion." In Distortion in Music Production, The Soul of Sonics. Chapter 1, Editors Gary Bromham and Austin Moore. Focal Press, June 2023.
David Moffat, "AI Music Mixing Systems." In the proceedings of Handbook of Artificial Intelligence for Music, Chapter 13, 2021.
David Moffat, Rod Selfridge, Joshua Reiss, "Sound Effect Synthesis." In the proceedings of Foundations in Sound Design for Interactive Media: A Multidisciplinary Approach, Chapter 13, 2019.
Di Campli San Vito, P., Brewster, S., Venkatesh, S., Miranda, E., Kirke, A., Moffat, D., Banerjee, S., Street, A., Fachner, J. and Odell-Miller "RadioMe: Supporting Individuals with Dementia in Their Own Home... and Beyond?" In the proceedings of 2022 CHI Conference on Human Factors in Computing Systems (CHI 22) Workshop 32, New Orleans, LA, USA, 30 Apr 2022.
Satvik Venkatesh, David Moffat, Alexis Kirke, Gözel Shakeri, Stephen Brewster, Jörg Fachner, Helen Odell-Miller, Alex Street, Nicolas Farina, Sube Banerjee, Eduardo Miranda, "Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast." In the proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.
Shakeri Gozel, Stephen Brewster, Satvik Venkatesh, David Moffat, Alexis Kirke, Eduardo Miranda, Sube Banerjee, Alex Street, Jörg Fachner, Helen Odell-Miller, "RadioMe: Challenges During the Development of a Real Time Tool to Support People With Dementia." In the proceedings of Conference on Human Factors in Computing Systems (CHI), 2021.
Clive Mead, David Moffat, Eduardo Miranda, "Composing, Recording and Producing with Historical Equipment and Instrument Models." In the proceedings of Audio Engineering Society Convention 139, 2020.
M. Lefford, Gary Bromham, David Moffat, "Mixing with Intelligent Mixing Systems: Evolving Practices and Lessons from Computer Assisted Design." In the proceedings of Audio Engineering Society Convention 148, 2020.
Gary Bromham, David Moffat, Mathieu Barthet, György Fazekas, "Retro in Digital: Understanding the Semantics of Audio Effects." In the proceedings of DMRN+14: Digital Music Reserach Network One-Day Workshop, 2019.
Satvik Venkatesh, David Moffat, Eduardo Miranda, "RadioMe: Artificially Intelligent Radio for People with Dementia." In the proceedings of DMRN+14: Digital Music Research Network One-Day Workshop, 2019.
David Moffat, Mark Sandler, "Machine Learning Multitrack Gain Mixing of Drums." In the proceedings of Audio Engineering Society Convention 147, 2019.
David Moffat, Mark Sandler, "An Automated Approach to the Application of Reverberation." In the proceedings of Audio Engineering Society Convention 147, 2019.
Gary Bromham, David Moffat, Mathieu Barthet, Anne Danielsen, György Fazekas, "The Impact of Audio Effects Processing on the Perception of Brightness and Warmth." In the proceedings of ACM Audio Mostly Conference, 2019.
David Moffat, Mark Sandler, "Automatic Mixing Level Balancing Enhanced through Source Interference Identification." In the proceedings of Audio Engineering Society Convention 146, 2019.
Gary Bromham, David Moffat, György Fazekas, Mathieu Barthet, Mark Sandler, "The impact of compressor ballistics on the perceived style of music." In the proceedings of Audio Engineering Society Convention 145, 2018.
David Moffat, Mark Sandler, "Adaptive Ballistics Control of Dynamic Range Compression for Percussive Tracks." In the proceedings of Audio Engineering Society Convention 145, 2018.
David Moffat, Florian Thalmann, Mark Sandler, "Towards a Semantic Web Representation and Application of Audio Mixing Rules." In the proceedings of Proceedings of the 4th Workshop on Intelligent Music Production (WIMP), 2018.
David Moffat, Joshusa Reiss, "Objective Evaluations of Synthesised Environmental Sounds." In the proceedings of Proceedings of the 21th International Conference on Digital Audio Effects (DAFx-18), 2018.
David Moffat, David Ronan, Joshusa Reiss, "Unsupervised Taxonomy of Sound Effects." In the proceedings of Proc. 20th International Conference on Digital Audio Effects (DAFx-17), 2017.
Rod Selfridge, David Moffat, Joshua Reiss, "Physically Derived Sound Synthesis Model of a Propeller." In the proceedings of ACM Audio Mostly Conference, 2017.
Rod Selfridge, David Moffat, Joshua Reiss, Eldad Avital, "Real-Time Physical Model for an Aeolian Harp." In the proceedings of Proceedings of the 24th International Congress on Sound and Vibration, 2017.
Rod Selfridge, David Moffat, Joshua Reiss, "Real-Time Physical Model for Synthesis of Sword Swing Sounds." In the proceedings of Proceedings of the 14th International Conference on Sound and Music Computing (SMC), 2017.
David Moffat, Joshua Reiss, "Perceptual evaluation of synthesised sound effects." In the proceedings of DMRN+11: Digital Music Research Network Workshop, 2016.
Brecht De, Nicholas Jillings, David Moffat, Joshua Reiss, Ryan Stables, "Subjective comparison of music production practices using the Web Audio Evaluation Tool." In the proceedings of 2nd AES Workshop on Intelligent Music Production, 2016.
Nicholas Jillings, Brecht De, David Moffat, Joshua Reiss, "Web Audio Evaluation Tool: A framework for subjective assessment of audio." In the proceedings of Proceedings of the 2nd Web Audio Conference, 2016.
Lucas Mengual, David Moffat, Joshua Reiss, "Modal Synthesis of Weapon Sounds." In the proceedings of Proceedings of the Audio Engineering Society Conference: 61st International Conference: Audio for Games, 2016.
David Moffat, Joshua Reiss, "Implementation and Assessment of Joint Source Separation and Dereverberation." In the proceedings of Proceedings of the Audio Engineering Society Conference: 60th International Conference: DREAMS (Dereverberation and Reverberation of Audio, Music, and Speech), 2016.
David Ronan, David Moffat, Hatice Gunes, Joshua Reiss, "Automatic Subgrouping of Multitrack Audio." In the proceedings of Proceedings of the 18th International Conference on Digital Audio Effects (DAFx-15), 2015.
David Moffat, David Ronan, Joshusa Reiss, "An Evaluation of Audio Feature Extraction Toolboxes." In the proceedings of Proceedings of the 18th International Conference on Digital Audio Effects (DAFx-15), 2015.
Nicholas Jillings, Brecht De, David Moffat, Joshua Reiss, "Web Audio Evaluation Tool: A Browser-Based Listening Test Environment." In the proceedings of Proceedings of the Sound and Music Computing Conference, 2015.
Conference proceedings talk at 2022 UK Conference on Environmental Data Science, Lancaster, UK
Conference proceedings talk at UK National Earth Observation Conference 2022,, Leicester, UK
Conference proceedings talk at UK National Earth Observation Conference 2022,, Leicester, UK
Talk at University of Exeter, Institute for Data Science and Artificial Intelligence, Exeter, UK
Guest Lecture at Outside The Box Course, Computer Science Dept., University of Exeter, Exeter, UK
Guest Lecture at Open Network for Water-Related Diseases, Online Webinar
Working Group Meeting Invited Presentation at The 55th Meeting of the Working Group on Information Systems and Services, Committee on Earth Observation Satellites, Córdoba, Argentina (Remote Talk)
Panel Member at Machine Learning for Earth Observation Remote Sensing with the Environment Intelligence Network, Exeter, UK
Workshop Talk at Machine Learning for Earth Observation Remote Sensing with the Environment Intelligence Network, Exeter, UK
Two hour, 24 participants In Person., , 2024
Two day, 28 participants In Person. Supported additional training on research techniques, atmospheric correction and EO, , 2023
Half day, 45 participants In Person. Supported one day of training on general EO and project based supervision., , 2023
Two hour, 200 participants Remote., , 2023
Two hour, 120 participants Remote., , 2023
Two day, 16 participants In Person. Supported additional training on atmospheric correction and EO, , 2022
Half day, 11 participants Hybrid. Attendees supported in person by collegues, I presented and supported remotely., , 2022
Five day, 9 participants In Person. Delivered ML4EO training and led five day training course, , 2022
Two day, 37 participants In Person. Co-lead training course and all delivery, , 2022
One day, 23 participants Hybrid. Co-lead training course and all delivery, , 2022
Two day, 34 participants In Person. Co-lead training course and all delivery, , 2022
Half day, 350 participants Remote. Co-lead training course, , 2021
Half day, 21 participants Remote. Supported delivery of training for five day course, , 2021
One day, 17 participants Hybrid. Presented and delivered remotely, with collegues supporting in person, , 2021
Workshop, University of Plymouth, Computing Audio and Music Technology BSc., 2019
Workshop, University of Plymouth, Research Masters Student Supervison, 2019
Workshop, University of Plymouth, PhD Student Supervision, 2019
Teaching Associate, Queen Mary University of London, Teaching, 2018