Postgraduate

PGR Seminar with Thomas Martin + Charis Hanna

The next PGR seminar is taking place this Friday 23rd May at 2PM in JC 1.33a

Below are the Titles and Abstracts for Thomas and Charis’ talks – Please do come along if you are able.

Thomas Martin

Title: From Isolated to Continuous Automated Sign Language Recognition

Abstract: Sign languages are full-fledged visual natural languages combining manual and non-manual features. As the name suggests, Automated Sign Language Understanding (ASLU) aims to automate tasks involving sign language. A primary obstacle to ASLU is the creation of appropriate datasets. Indeed, most datasets focus on materials gathered from TV broadcasts covering limited topics, which fail to accurately reflect sign language in the wild. Moreover, annotating such datasets is a prohibitively costly process. With the end goal of Sign Language Translation (written/spoken language to sign language) in mind, ASLU research has transitioned from Isolated to Continuous Sign Language Recognition. However, sign language intricacies have made this transition non-trivial.

Charis Hanna

Title: Enhancing Deep Learning Approaches for the Automated Monitoring of Dense Seabird Colonies

Abstract: Cliff-nesting birds serve as valuable indicators of marine ecosystem health, yet dense populations and remote habitats present significant challenges for automated monitoring. With current state-of-the-art object detectors often failing under the conditions of extreme crowding and occlusion, this project aims to develop and refine deep learning techniques that enable the fine-grained, automated analysis of seabird colonies. Current work explores semi-supervised learning strategies that leverage domain-shifted knowledge to reduce the need for exhaustive annotation across complex image datasets. These methods not only reduce the laborious process of manual annotation but also demonstrate promising improvements in performance across the long-tailed species distribution. While ongoing efforts are directed at further optimising these models, future work will leverage additional spatial information with the aim of supporting richer insights into behavioural dynamics within these populations.

PGR Seminar with Tilcia Woodville-price + Thu Nguyen

The next PGR seminar is taking place this Friday 16th May at 2PM in JC 1.33a

Below are the Titles and Abstracts for Tilcia and Thu’s talks – Please do come along if you are able.

Tilcia Woodville-price

Title: Definitely, Maybe? Communicating Uncertainty In Medicine

Abstract: An inherent aspect of healthcare and data science alike, uncertainty is present at every step of data utilisation, including its collection, analysis and dissemination. Accounting for and disclosing uncertainty is an ongoing challenge faced by many disciplines. In medicine, effective communication of uncertainty is essential for shared decision-making, with important considerations surrounding the user (patients, clinicians, policymakers), the underlying information, and the means of communicating it (data visualisation). Current medical research has focused on risk communication, often failing to evaluate more complex aspects of uncertainty. In contrast, the information visualisation community has more widely researched uncertainty visualisation in other domains, but insights remain limited regarding best practice. This interdisciplinary research aims to empirically assess different forms of visualising uncertainty in medicine, evaluate how user characteristics influence comprehension, and explore new forms of communicating it through data-driven storytelling.

Thu Nguyen

Title: Multimorbidity Dynamics in Scotland: Health inequality and Trajectories in chronic disease accrual and mortality across the lifespan

Abstract: Multimorbidity – the co-occurrence of two or more chronic diseases – is a growing global concern, and is associated with higher risk of mortality, worse quality of life and substantial financial burden. About one third of the world’s population has multimorbidity. Care for multimorbid patients in the UK accounts for more than 55% of NHS costs and 75% of primary care prescription costs. The focus of multimorbidity epidemiology so far has largely been on the static clustering of diseases through cross-sectional analyses, with less emphasis on the trajectories of disease onset and the sequence in which conditions develop. Understanding the order in which diseases occur and its impact on patient outcomes can help identify high-risk trajectories and aid healthcare resource planning by identifying target populations for preventive interventions, ultimately leading to earlier diagnosis and management. Using linked electronic health records (EHRs) on 858789 individuals (2005-2021), this study aims to employ multistate modelling to explore the dynamics of multimorbidity trajectories, measure chronic disease accrual, incorporating social factors to unveil the health inequality in Scotland.

PGR Seminar with Duong Phuc Tai Nguyen + Thomas Metcalfe

The next PGR seminar is taking place this Friday 9th May at 2PM in JC 1.33a

Below are the Titles and Abstracts for Duong and Tom’s talks – Please do come along if you are able.

Duong Phuc Tai Nguyen

Title: Enhancing Dynamic Algorithm Configuration via Theory-guided Benchmarks.

Abstract: Algorithms play a vital role in numerous domains, ranging from machine learning to optimization and simulation. Developing an algorithm typically requires making multiple design choices and fine-tuning parameters, a process that can be both labor-intensive and complex. This project seeks to automate this process by employing machine learning techniques, particularly deep reinforcement learning (deep-RL). By leveraging theoretical insights from evolutionary computation, we establish new benchmarks to assess RL methods for dynamic algorithm configuration and propose enhancement techniques to increase their effectiveness

Thomas Metcalfe

Title: Listening to Rhythms: Exploring Human-Phenology Attunement through Research Products and Decentralised Computing

Abstract: Humanity and the planet are in an epoch of ecological breakdown. Modern technological cultures have severed human awareness from the living rhythms of more-than-human worlds. This research explores how decentralised, situated technologies might foster embodied attunement between humans and the phenological rhythms of place.

This seminar is a work-in-progress. 7 months into his PhD, Tom will present his journey and current thinking on the foundations and potential direction of his project. You can expect to hear how he’s trying to shift research paradigms; the profound change in the project’s onto-epistemological perspectives; and how he hopes to make a contribution to the design and HCI communities.

PGR Seminar with Gen Li + Jess McGowan

The next PGR seminar is taking place this Friday 2nd May at 2PM in JC 1.33a

Below are the Titles and Abstracts for Gen and Jess’ talks – Please do come along if you are able.

Gen Li

Title: Visualization of clinical pathways based on sepsis comorbidities

Abstract: Sepsis is a severe infectious syndrome that can lead to critical illness and death. At present, most retrospective studies on sepsis focus on diagnosis and mortality risk prediction, with relatively limited attention to patients’ medical backgrounds. Comorbidities, as an important factor affecting the severity of the disease and treatment outcomes, present complex and variable characteristics in the treatment process. However, current research in this field generally lacks in-depth analysis of clinical pathways such as patient transfers and treatment interventions during hospitalization, which limits the development of personalized treatment strategies. Based on this, our research plans to use machine learning methods to extract similar comorbidity sub-groups of sepsis patients from electronic health records (EHRs), and further combine them with advanced visualization technology to explore the clinical pathways of these sub-groups. The research aims to help clinicians gain insights into the potential relationship between sepsis and related comorbidities, improve the interpretability of patients’ clinical records, and thus develop more effective treatment and management strategies for patients.

Jess McGowan

Title: Roll For Initiative: From Play to Personas

Abstract: In user centred design, designing for a wide target audience can lead to systems attempting to please everyone and thus pleasing no-one. Using a persona, i.e. a single member of that target audience, and designing a system dedicated to their needs results in a more focused design, which leads to improved usability. However, the design of personas is largely unstructured, with no clearly agreed methodology behind their creation. The solution to this could be found in Tabletop Role Playing Games (TTRPGs), which tend to feature clearly structured character creation instructions. This project aims to investigate to what extent can TTRPG character creation instructions aid the design of personas.

PGR Seminar with Dhananjay Saikumar

The next PGR seminar is taking place this Friday 25th April at 2PM in JC 1.33a

Below are the Title and Abstract for Dhananjay’s talk – Please do come along if you are able.

Title: Signal Collapse in One-Shot Pruning: When Sparse Models Fail to Distinguish Neural Representations

Abstract: The deep learning breakthrough in 2012, marked by AlexNet’s success on the ImageNet challenge, ushered in an era of increasingly large neural networks. Modern models now hold tens of millions to billions of parameters, enabling remarkable capabilities but creating serious challenges for deployment in real-world, resource-constrained environments. This has led to growing interest in model compression, with network pruning emerging as a widely adopted method to reduce computational and memory demands. Iterative pruning—based on repeated prune-retrain cycles—can retain accuracy but becomes infeasible at scale due to high computational cost. One-shot pruning, which removes parameters in a single step without retraining, offers a more scalable alternative but often results in severe accuracy degradation. For instance, pruning 80% of the parameters from RegNetX-32GF (a 100M+ parameter model) drops ImageNet accuracy from 80% to 1%, rendering the model unusable. This talk uncovers a new and fundamental bottleneck behind such failures: signal collapse, a previously overlooked phenomenon that disrupts the network’s ability to distinguish between inputs. To address this, a simple and efficient method called REFLOW is introduced, enabling sparse networks to recover strong performance without retraining or gradient computation. On RegNetX-32GF, REFLOW lifts accuracy from 1% to 73% at 80% sparsity—in under 15 seconds. These findings reframe the challenges of one-shot pruning and open new opportunities for practical and efficient deployment of deep learning models.

PGR Seminar with Leonid Nosovitsky + Xinya Gong

The next PGR seminar is taking place this Friday 11th April at 2PM in JC 1.33a

Below are the Titles and Abstracts for Leonid and Xinya’s talks – Please do come along if you are able.

Leonid Nosovitsky

Title: Bridging Theory and Practice: Advancing Multiparty Session Types for Industry Use

Abstract: Multiparty Session Types (MPST) provide a typing discipline for communication protocols. They allow to statically check that a code implementation conforms to a specified protocol; they can also verify that a protocol satisfies many safety properties like liveness and deadlock freedom, which are crucial in concurrent communicating systems.  Despite huge improvements in MPST research, different extensions have limitations.  For example, one of extensions is crash-handling. This branch was motivated by lack of network reliability to make MPST framework more applicable and usable in industrial scenarios. The crash-semantics theory introduced by Barwell et al. does not involve any constraints relaxations, which makes it very intricate for adoption in practical scenarios.  Our project concentrates on addressing usability limitations to make MPST more integrable into industrial applications.

Xinya Gong

Title and Abstract TBC

PGR Seminar with Zihan Zhang + Berné Nortier

The next PGR seminar is taking place this Friday 4th April at 2PM in JC 1.33a

Below are the Titles and Abstracts for Zihan and Berné’s talks – Please do come along if you are able.

Zihan Zhang

Title: FedOptima: Optimizing Resource Utilization in Federated Learning

Abstract: Federated learning (FL) systems facilitate distributed machine learning across a server and multiple devices. However, FL systems have low resource utilization limiting their practical use in the real world. This inefficiency primarily arises from two types of idle time: (i) task dependency between the server and devices, and (ii) stragglers among heterogeneous devices. We propose FedOptima, a resource-optimized FL system designed to simultaneously minimize both types of idle time; existing systems do not eliminate or reduce both at the same time. FedOptima offloads the training of certain layers of a neural network from a device to server using three innovations. First, devices operate independently of each other using asynchronous aggregation to eliminate straggler effects, and independently of the server by utilizing auxiliary networks to minimize idle time caused by task dependency. Second, the server performs centralized training using a task scheduler that ensures balanced contributions from all devices, improving model accuracy. Third, an efficient memory management mechanism on the server increases scalability of the number of participating devices. Four state-of-the-art offloading-based and asynchronous FL methods are chosen as baselines. Experimental results show that compared to the best results of the baselines on convolutional neural networks and transformers on multiple lab-based testbeds, FedOptima (i) achieves higher or comparable accuracy, (ii) accelerates training by 1.9x to 21.8x, (iii) reduces server and device idle time by up to 93.9% and 81.8%, respectively, and (iv) increases throughput by 1.1x to 2.0x.

Berné Nortier

Title: Shortest paths and optimal transport in higher-order systems

Abstract: One of the defining features of complex networks is the connectivity properties that we observe emerging from local interactions. Nevertheless, not all networks describe interactions which are merely pairwise. Recently, different frameworks for modelling non-dyadic, higher-order, interactions have been proposed, garnering much attention. Of these, hypergraphs have emerged as a versatile and powerful tool to model such higher-order networks. However, the connectivity properties of real-world hypergraphs remain largely understudied. A first, data-driven, work introduces a measure to characterise higher-order connectivity and quantify the relevance of non-dyadic ties for efficient shortest paths in a diverse set of empirical networks with and without temporal information. The analysis presents a nuanced picture.

A second work (in progress) considers higher-order simplicial networks within the context of optimal transport, where shortest paths do not always lead to optimal resource allocation. We extend the existing framework to the higher-order setting to explore to what degree this additional degree of freedom influences the flux of resources in a system of interest.

Distinguished Lecture Series 2025

This years Distinguished Lecture series was delivered yesterday ( Tuesday 1st April) by Professor Arthur Zimek, University of Southern Denmark in Odense, Denmark.

In his talk on, ‘Data Mining and the “Curse of Dimensionality”’ he considered the challenges of the “curse” from the perspective of data mining. In Talk 1, he discussed the “curse” in more detail, identifying relevant aspects or problems. In Talk 2, he considered clustering facing these problems and discussed some strategies and example methods for subspace clustering. In Talk 3, he discussed outlier detection, considering strategies for improved efficiency, effectiveness, and subspace outlier detection.