Postgraduate

Enhancing Privacy for Internet Communication Protocols: SICSA 2025 Best PhD Dissertation Award

On June 25th, recent PhD graduate, Dr. Gregor Haywood, took to the stage to receive the 2025 “Best PhD Dissertation” award from the Scottish Informatics & Computer Science Alliance (SICSA).

Gregor (Lecturer in the Department of Cybersecurity and Computing at Abertay University, and PhD Award Recipient) is standing next to Debbie Meharg, Head of Applied Informatics at Edinburgh Napier University, Director of Education for SICSA, and the Awards Chair for the SICSA PhD Conference 2025

Gregor (Lecturer in the Department of Cybersecurity and Computing at Abertay University, and PhD Award Recipient) standing next to Debbie Meharg, Head of Applied Informatics at Edinburgh Napier University, Director of Education for SICSA, and the Awards Chair for the SICSA PhD Conference 2025

Haywood’s thesis on “Enhancing Privacy for Secure Internet Communications Using ILNP” focuses on how underlying communication protocols for the Internet could avoid privacy leaks, while continuing to utilise existing and unmodified hardware, infrastructure, and Internet services. His study was driven by his academic interest in the unintended design consequences within large interconnected systems:

I was captivated by working on a project that was socially relevant, deeply technical, and – ultimately – solvable. During my undergraduate degree, I started looking at private communication mechanisms as a side project which turned into my fourth year dissertation, and continued onwards within my PhD. I like finding these unanticipated problems, such as privacy leaks, security vulnerabilities, and environmental impacts, then designing new solutions that fix the problems without disrupting the operation of the larger systems at play.

(Dr Gregor Haywood)

Professor Saleem Bhatti (School of Computer Science, Thesis Supervisor) adds how Haywood’s work demonstrates what he believes to be ‘the first deployable mechanisms for perturbing traffic flow correlation attacks at the network level, as well as perturbing privacy attacks by traffic analysis as might be performed by a machine-learning system.’ For this reason, he was enthusiastic to nominate Haywood’s thesis for SICSA stating it is ‘an excellent balance between science and engineering’ that explores ‘a radical new architecture in addressing using the Identifier Locator Network Protocol (ILNP) to provide new privacy features, and an open-source implementation in FreeBSD that is usable across the existing Internet.’

The SICSA PhD Conference is a flagship event that brings together various participants from fourteen Scottish Universities to network, seek graduate researcher training, and share current interdisciplinary projects.  Dr. Tristan Henderson (Senior Lecturer and Computer Science Director of Postgraduate Research) comments that submitting to awards like SICSA encompasses the primary aim of a PhD which is ‘learning how to become a researcher.’  For this reason, SICSA is a valuable opportunity that allows for ‘visibility’ and ‘recognition’ of one’s work both nationally and internationally adds Professor Bhatti.

In recalling his own researcher journey, Dr. Haywood expresses that whether it is learning a ‘can-do attitude’ from his supervisor or picking up fun new quirks such as ‘hoarding hand-me-down computer hardware,’ the School of Computer Science and his PhD research have given him the space to thrive for who he is:

I suspect I will always have a compulsive need to understand things deeply – but now I have the tools to harness that into computer systems research, and whether it is celebrating the wins at conference dinners with my peers, or consoling each other at the pub when it falls apart, it is hard to put words to the joy I have found in being part of a community that can match my passion, debate my technical points, and jump on board with my research tangent conversation starters.

 It’s also very exciting to celebrate a success in privacy research. Many headlines are about data breaches and privacy failures, and so much research is about finding new privacy vulnerabilities. Being able to say “we made things better” is a great opportunity to inject some hope into the research community.                                            

(Dr Gregor Haywood)

This elation also extends to the pride that both Dr. Henderson and Professor Bhatti feel towards having an alumnus from the School of Computer Science win this award. ‘It is a great honour’ they both expressed, and a fantastic example of the impact of research outside of the university. Dr. Henderson adds that within Computer Science, there are a number of dissertation awards, including SICSA and the BCS in the UK, as well as the ACM internationally. He encourages students to indulge in these opportunities, with Dr. Haywood noting that ‘participating in this and other inter-institutional networking events was a valuable way for me to broaden my research mindset throughout the PhD’ and if you are considering applying yourself or nominating a student for it, ‘do it! You have nothing to lose and plenty to gain. Remember it is the reviewers’ job to judge your work, not yours – you just need to judge whether you have time to submit.’

Dr. Haywood is now a Lecturer in the Department of Cybersecurity and Computing at Abertay University with key aspects of his work being available to read online until his thesis is published in June 2026.

ILNP web page: https://ilnp.cs.st-andrews.ac.uk

Blog written by Nina Globerson

PGR Seminar: Xinya Gong

The next PGR seminar is taking place this Friday 20th June at 2PM in JC 1.33a

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

Title: Invisible Health Clues in Everyday Handwriting

Abstract: Everyday handwriting may quietly reflect subtle changes in a person’s health. This project explores how natural writing patterns—such as stroke dynamics, pressure, and rhythm—can offer early indicators of motor or neurological conditions. Without relying on wearables or clinical tasks, the approach passively monitors handwriting during familiar, routine activities. By capturing and analyzing writing behaviour over time, it becomes possible to build personal baselines and detect meaningful deviations. This work envisions a privacy-preserving, low-effort way to integrate long-term health awareness into daily life.

PGR Seminar – Kyren Fox + Zipei Li

The next PGR seminar is taking place this Friday 13th June at 2PM in JC 1.33a

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

Kyren Fox

Title: Privacy and Trust on the Web

Abstract: Many web users use content blockers to block ads and privacy invasive trackers from the sites they visit. Due to their increasing popularity and the nature of a web funded by ads and tracking, ad-tech firms have resorted to more and more sophisticated countermeasures to evade these blocks that have created an arms race between the blockers and trackers. Since many content blockers rely on community curated filter-lists that require laborious manual review, combined with the increasingly dynamic obfuscation techniques utilised by trackers to evade these blocks, issues surrounding the scalability of content blockers have arisen.

While many automated solutions have been proposed to assist in blocking unwanted privacy-harming functionality, there is still no comprehensive solution that tackles all privacy-invasive behaviours, avoids breaking legitimate website functionality, and is robust to evasion techniques. Existing solutions all have trade-offs but do not appear to offer the user any control over what trade-off they wish to make. This project will seek to demonstrate that it is possible to give users control over the granularity of trade-off they wish to make that will satisfy the trade-offs in a scalable and robust manner for their use case.

Zipei Li

Title: Understanding the Planning Capabilities and Limitations of LLMs in Blocks World.

Abstract: We investigates the planning capabilities of Large Language Models (LLMs) in the symbolic Blocks World domain. While prior work has shown that LLMs often fail to generate correct or executable plans, we shift focus toward understanding the causes of plan failures and identifying the conditions under which LLMs succeed. We evaluate a range of LLMs across problems of varying difficulty and four prompt types with varying degrees of information in natural language. To support this analysis, we introduce a fine-grained failure category spanning Plan, Goal, State, and Action. The analysis deepens our understanding of LLM planning behavior and contributes an empirical framework for diagnosing failure modes, thereby informing the development of more reliable LLM-based planning systems.

PGR Seminar – Lina Hadji-Kyriacou + Victor Yuan

The next PGR seminar is taking place this Friday 30th May at 2PM in JC 1.33a

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

Lina Hadji-Kyriacou

Title: Context-PEFT: Efficient Cross-Domain Transfer Learning

Abstract: Parameter-Efficient Fine-Tuning (PEFT) techniques such as LoRA, BitFit and IA3 have demonstrated comparable performance to full fine-tuning of pre-trained models for specific downstream tasks, all while demanding significantly fewer trainable parameters and reduced GPU memory consumption. However, in the context of cross-domain transfer learning, the need for architectural modifications or full fine-tuning often becomes apparent. To address this we propose Context-PEFT, which learns different groups of adaptor parameters based on the current input domain. This approach enables LoRA-like weight injection without requiring additional architectural changes. Our method is evaluated on the COCO captioning task, where it outperforms full fine-tuning under similar data constraints while simultaneously offering a substantially more parameter-efficient and computationally economical solution.

Victor Yuan

Title: Methodologies for Creating Interactive and Lifelike Historical Characters Based on MetaHuman

Abstract: Virtual characters have long held promise as pedagogical tools in heritage education, particularly for creating immersive interactions with historical figures. Researchers have envisioned systems capable of emulating these figures, enabling users to engage in life-like, face-to-face dialogues over time. While technological constraints historically limited such applications, recent advancements in computational graphics and language models have now made them viable. This paper presents a framework for constructing interactive virtual character systems, outlining their core components through two critical dimensions: photorealism and interaction. The photorealism dimension leverages modern graphics tools to achieve high-fidelity visual representation, while the interaction dimension utilizes language models to enable socially believable and contextually responsive dialogue. We examine the necessity of each component and analyze available technological solutions with their respective trade-offs. Beyond the technical framework, we discuss potential future improvements and address ethical and practical concerns inherent to such systems. By synthesizing current technologies and their applicability, this work provides institutions with practical guidance for developing customized interactive systems that balance functionality with cost-efficiency.

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.