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Research Staff
Research Associate in Causal AI
dmachlan@ed.ac.uk
1.02 Usher Building
Electronics and Electrical Engineering
Imaging, Data and Communications
- PhD Computer Science, University of Essex, 2024
- MSc Artificial Intelligence, University of Essex, 2020
Research Associate in Offshore Renewables
D.Noble@ed.ac.uk
4.021 Engineering Forum, Flo1 Flowave
Mechanical Engineering
Energy Systems
Currently working on innovation for offshore wind in the Forth and Tay cluster Offshore Wind Place Based Impact Accelerator Account (PBIAA). Previously with the Policy and Innovation Group within the Institute for Energy Systems, on a range of UK and European projects. Donald's research topics include techno-economic analysis and cost reduction, lifecycle assessment, technology commercialisation, and the research & innovation requirements for the offshore renewable energy sector.
Prior to this, Donald completed an Engineering Doctorate, with research on testing renewable energy devices in a combined wave-current environment at the University of Edinburgh's FloWave Ocean Energy Research Facility, as part of the Industrial Doctorate Centre of Offshore Renewable Energy (IDCORE). His background is as a civil engineer/hydrologist, with over nine years experience in small hydropower schemes and renewable energy, flood risk assessment and flood management, plus coastal engineering
Doctor of Engineering (EngD) in Offshore Renewable Energy. The Universities of Edinburgh, Strathclyde, and Exeter, as part of the Industrial Doctorate Centre of Offshore Renewable Energy (IDCORE)
Master of Engineering (MEng) in Civil and Environmental Engineering. Heriot-Watt University, Edinburgh
For my publications, please see my pages on University of Edinburgh Research Explorer, Research Gate profile, or ORCID.
syou2@ed.ac.uk
3.008 Engineering Forum
Electronics and Electrical Engineering
Energy Systems
Research Associate in AI for Electron Device Materials Discovery
browlins@ed.ac.uk
1.26 Murchison House
Electronics and Electrical Engineering
Integrated Micro and Nano Systems
Research Associate in Advanced Laser Diagnostics Investigating the Fluid Mechanics of Primary Breakup
elewis4@ed.ac.uk
2.2017 James Clerk Maxwell Building
Mechanical Engineering
Multiscale Thermofluids
Research Associate in Signal Processing for Sensing and Communications
shassan@ed.ac.uk
2.12 Alexander Graham Bell Building
Electronics and Electrical Engineering
Imaging, Data and Communications
Experimental Officer
rrea2@exseed.ed.ac.uk
Chemical Engineering
Materials and Processes
Research Associate
Anabel.martinezlyons@ed.ac.uk
2.2009 James Clerk Maxwell Building
Electronics and Electrical Engineering
Bioengineering
Research Associate in Experimental Multiphase Heat Transfer
tthomas2@ed.ac.uk
2.2017 James Clerk Maxwell Building
Chemical Engineering
Multiscale Thermofluids
Research Associate in Sensor Data and Resource Management for Autonomous Airborne Platforms
rgan@ed.ac.uk
No Fixed Office
https://runzegan.github.io
Electronics and Electrical Engineering
Imaging, Data and Communications
My research includes methodologies for approximate inference, particularly variational inference and Monte Carlo methods, as well as stochastic modelling for time series data. On the applied side, I primarily work on multi-object tracking, distributed sensor fusion, and intent inference.
I obtained my PhD in Information Engineering from the University of Cambridge, and previously held research associate positions at the Alan Turing Institute and the University of Cambridge.
I have served as a reviewer for international journals and conferences, including IEEE Transactions on Aerospace and Electronic Systems and IEEE Transactions on Signal Processing. I also organised a special session at the IEEE Statistical Signal Processing Workshop 2025.