West Europe from space stock photo

Our People

David Moffat

AI and Machine Learning Data Scientist

EO Instrumentation and Facilities

Research interests

I am an applied Artificial Intelligence and Machine Learning researcher who focuses on the application of techniques to Earth Observation data to formulate a better understanding of the natural world. I work across environmental domains to interpret and analyse data.

Recent publications

A Deep Learning Approach to Downscaling Microwave Land Surface Temperatures for a Clear-Sky Merged Infrared-Microwave Product. 2025-11-30

The theoretical role of the wind in aerosolising microplastics and nanoplastics from coastal combined sewer overflows. 2025-07-02

Automatic Mapping and Characterising Of Ripple Patterns on Sand Dunes using U-Net and 2D Semi-Variogram.. 2025-03-18

Ripple patterns on Martian barchan dunes in the north: indicators of the flow regime.. 2025-01-20

A Sentinel-3 foundation model for ocean colour. 2025

Segmenting and characterising ripple patterns on sand dunes using machine learning and 2D semi-variogram. 2025

Sensing human health from Space: An assessment of applications and big data platforms. 2025

Deciphering the variability in air-sea gas transfer due to sea state and wind history. 2024-09-02

From digital assistant to digital collaborator. 2024-02-15

Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas. 2024

TLS2trees: A scalable tree segmentation pipeline for TLS data. 2023-10-21

Determining drivers of phytoplankton carbon to chlorophyll ratio at Atlantic Basin scale. 2023-07-11

Analysis of Dune Ripple Patterns on the Surface of Earth and Mars to determine Local Sand Transport Conditions: A Machine Learning application.. 2023-05-15

TLS2trees: a scalable tree segmentation pipeline for TLS data. 2022-12-11

Word Embeddings for Automatic Equalization in Audio Mixing. 2022-11-02

Semantic Music Production: A Meta-Study. 2022-07-25

Measuring Audibility Threshold Levels for Attack and Release in a Dynamic Range Compressor. 2022

Word Embeddings for Automatic Equalization in Audio Mixing. 2022

You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. 2022

AI Music Mixing Systems. 2021-07-03

A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net. 2021-03-09

Context-Aware Intelligent Mixing Systems. 2021-03-09

AI Music Mixing Systems. 2021

Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast. 2021

Artificially synthesising data for audio classification and segmentation to improve speech and music detection in radio broadcast. 2021

Investigating the effects of training set synthesis for audio segmentation of radio broadcast. 2021

You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection. 2021

Mixing with Intelligent Mixing Systems: Evolving Practices and Lessons from Computer Assisted Design. 2020-05

A History of Audio Effects. 2020-01-22

Composing, recording and producing with historical equipment and instrument models. 2020

Machine Learning Multitrack Gain Mixing of Drums. 2019-10

Approaches in Intelligent Music Production. 2019-09-25

The Impact of Audio Effects Processing on the Perception of Brightness and Warmth. 2019-09-18

An automated approach to the application of reverberation. 2019

Automatic Mixing Level Balancing Enhanced through Source Interference Identification. 2019

Sound Effect Synthesis. 2019

Perceptual Evaluation of Synthesized Sound Effects. 2018-04

Real-Time Physical Model for Synthesis of Sword Swing Sounds. 2017

Real-time physical model of an Aeolian harp. 2017

Unsupervised Taxonomy of Sound Effects. 2017

Chair's introduction. 2016

Modal Synthesis of Weapon Sounds. 2016

An Evaluation of Audio Feature Extraction Toolboxes. 2015

Automatic Subgrouping of Multitrack Audio. 2015

Contact details

Plymouth Marine Laboratories

01752 633 100

dmof@pml.ac.uk

https://www.neodaas.ac.uk