Postgraduate research students

Biography

I graduated with a MEng in Aeronautical Engineering from the University of Glasgow in 2023, with a final year dissertation on optimisation of low-thrust space trajectories. I currently work in the Space and Exploration Technology group of the James Watt School of Engineering, pursuing a PhD in Aerospace Engineering, supervised by Dr. Matteo Ceriotti and Professor Colin McInnes. In addition to my research, I have been involved in delivering a number of undergraduate engineering courses since 2021.

In 2025, I spent time as a visiting researcher in the European Space Agency's Advanced Concepts Team (ACT), working on mission analysis and design. Specific details of our project can be found here.

Current research

My work explores the use of machine learning to quickly optimise spacecraft trajectories in missions with a large number of destinations. This is a combinatorial problem which is extremely (often prohibitively) time-consuming to design using conventional methods, but very useful in contexts such as space debris removal (the necessity of which is becoming quite urgent); so the possibility of training approximation models to learn properties of good solutions is being explored.

My research uses reinforcement learning to tackle this "sequence design" problem; an agent is trained to obtain near-optimal solutions without the need for resource-intensive iterative optimisation. A further problem within multi-target mission design is the calculation of costs of mission legs between individual pairs of orbits (many of which need to be calculated to select the sequence). The use of neural network approximators instead of full trajectory optimisers for these leg costs has become commonplace due to their evaluation speed, but there is still room for improvement on the accuracy, training time and versatility of these tools, so I am also performing research on these techniques.

I am open to collaboration so if you are performing research that links in with my topic, please do not hesitate to send an email.

Broader research interests

Whilst the main focus of my PhD work is on multi-target mission design and machine learning, I have broader interests more generally in high-efficiency space trajectory optimisation/optimal control methods, and high specific impulse or propellantless thrust control.

List by: Type | Date

• Dr Matteo Ceriotti
• Professor Colin McInnes

• Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP) scholarship: full stipend funding PhD research (2023-2027).
• Royal Aeronautical Society (RAeS) Aerospace Speakers Travel Grant (AeSTG): funding to present at the 75th International Astronautical Congress in Milan, Italy (October 2024)
• University of Glasgow College of Science and Engineering Mobility Scholarship: funding for a 3 month research visit at the Advanced Concepts Team of the European Space Agency (April - July 2025)
• European Space Agency (ESA) Conference Sponsorship: funding to present at the 7th International Symposium on Space Sailing in Delft, Netherlands (July 2025)

I have worked/currently work on the courses listed below, delivering tutorials, lab sessions, project supervision, marking and lecturing:

• Engineering Mathematics 1
• Engineering Skills 1
• Materials 1
• Analogue Electronics 1
• Dynamics 1
• Dynamics 2
• Fluid Mechanics 2
• Mathematics AE2X
• Engineering Skills 2
• Engineering Mathematics 2
• Introduction to Aerodynamics 2
• Mechanical Engineering Skills 3
• Aircraft Design 3
• Simulation of Engineering Systems 3
• Aerospace Design Project 4M
• Introduction to Artificial Intelligence and Machine Learning 4
• Advanced Artificial Intelligence and Machine Learning 5