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04/11/2025, 12:45PosterPoster
Thousands of satellites now orbit the Earth, forming an increasingly interconnected ecosystem of space-based services. Yet the infrastructure to coordinate these systems remains largely centralised and outdated. This research explores how software, not hardware, can transform satellite operations to enable safe, sustainable operations in orbit.
Space is a zero-trust environment, where...
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04/11/2025, 12:50PosterPoster
As cybercrime grows in scale and complexity, shaping international law to combat it requires more than technical expertise, it demands diplomatic finesse, legal imagination and most importantly, global cooperation. This poster offers a look into the making of the UN Cybercrime Treaty 2024, the first major binding international legal instrument on cybercrime.
As part of INTERPOL’s...
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04/11/2025, 12:55PosterPoster
Women have been at the forefront of computing since the beginning. But where are all the women inventors? Only 13% of inventors worldwide are women and the numbers are worse in ICT (Information and Communications Technology). This poster explores why women are underrepresented as inventors in software and AI, and how intellectual property (IP) can be a powerful tool for recognition and career...
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04/11/2025, 13:00PosterPoster
Science often uses mathematics to represent physical process and behaviour. Hence, it is important to know the values of the parameters used within these models. For example, a parameter may relate to the internal magnetic field of a material. Nonlinear least squares fitting is the most common way of determining these parameters, providing both the values and errors, and is an important part...
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04/11/2025, 13:05PosterPoster
Class distribution methods determine how classes are allocated across the meta-training, meta-validation, and meta-test sets. These methods play a critical role in influencing the generalization ability of various meta-learning algorithms, including Prototypical Networks and Model-Agnostic Meta-Learning (MAML), particularly when these models are trained from scratch on small datasets. Focusing...
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04/11/2025, 13:10PosterPoster
At seventeen, I could not decide between pursuing a maths or physics degree. My parents had not attended university, and my sixth form had little experience supporting STEM applications. So, the school brought in a careers advisor who asked a simple question: which subject is your favourite? I said maths. He recommended physics.
Now twenty-five, I am a graduate computational physicist...
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04/11/2025, 13:15PosterPoster
Autonomy is a key factor in robotics that gives it the potential to be a world-shaping tool. One of the challenges we tackle as researchers is how to create robots that can make good decisions in the face of uncertainty. Robots often need to navigate environments where paths may be blocked or unknown, like forest trails hidden by dense terrain or warehouses that change layout as stock gets...
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04/11/2025, 13:20PosterPoster
To be compliant with modern heterogeneous HPC systems, large astronomy codes are needing to move towards GPU compatibility. SWIFT (SPH With Inter-dependent Fine-grained Tasking) is a versatile, open-source astronomy code used for a range of research areas in astronomy including galaxy formation, planetary impacts, and cosmology. A significant portion of SWIFT’s runtime is dedicated to gravity...
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04/11/2025, 13:25Poster
One of the key engineering challenges in fusion reactor development lies within the breeding blanket system. In several next-generation designs, including those proposed in STEP, liquid metals such as lithium-lead are employed both as tritium breeding media and as coolants. While these materials offer advantages in thermal efficiency and radiation shielding, they introduce significant...
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04/11/2025, 13:35PosterPoster
The Centre for Modelling & Simulation (CFMS) is an independent Research & Technology Organisation, based in Bristol, specialising in accelerating industry through modern digital engineering techniques. One area of focus is developing models and simulations to accelerate the design of novel complex systems, which requires developing a deep understanding of the impact that design parameters have...
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Amali Pawula Hewage (UKRI - STFC)04/11/2025, 13:40PosterPoster
PSDI is the UK's nationally funded programme that provides tools and services to help researchers in the physical sciences find, share, and process data, with the explicit aim of accelerating scientific discovery and innovation. In PSDI, we work with diverse data from various sources. One of the key challenges we face is managing big data while maintaining flexibility in handling both raw and...
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04/11/2025, 13:45PosterPoster
This research project was inspired by the apparent challenges of integrating the social and legal concept of fairness within the technical domain of Machine Learning. Industries including the criminal justice system, healthcare, and finance have eagerly utilised the power of automated decision-making tools to support high-stake decision-making tasks. Hence, now more than ever, a pressing need...
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04/11/2025, 13:50PosterPoster
The main aim during my internship with the Ditchley Foundation was to work with the graphing database Neo4j and software NeoDash, both of which utilise the graph query language Cypher. As my host organisation initiates events which are invite-only, the specific question I wanted to investigate was “Does Ditchley invite individuals recommended by other contacts?” I chose this in order to begin...
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04/11/2025, 13:55PosterPoster
As humans, we use language as a tool to reason about the world around us. In 1854, George Boole determined that all linguistic logical operations can be fully conveyed as mathematical expressions, but with one catch: only in the domain of 1 and 0. This insight paved the way for electronic computers, and is why programming languages consist of precise logical expressions. This poster presents a...
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04/11/2025, 14:00PosterOral
In particle physics, there are currently running experiments (CERN, Fermilab, PSI, etc) that look for evidence of new physics. Many of these results show deviations between the experiment and the theoretical predictions. We therefore need input from the theory side, to better understand our current Standard Model – the theory that describes the interaction between the fundamental particles of...
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Rachael Laidlaw (University of Bristol)04/11/2025, 14:05PosterPoster
Training computer vision models for animal biodiversity monitoring tasks demands a vast amount of labelled data for the target ecosystem. While raw, unlabelled data can be readily acquired on a large scale through camera trap systems deployed across the globe, labelling it all with species information requires significant expert effort, leading to a bottleneck in the pipeline. Since the labels...
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