School of Computing Science

Events

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Explore upcoming seminars, guest lectures, workshops, and other events hosted by the School of Computing Science.

Our events bring together students, researchers, industry partners, and the wider community to share ideas, showcase research, and foster collaboration.

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This Week’s Events

CVAS: Accurate Silence Detection in Recorded Music: A Deep Learning Approach

Group: Computer Vision for Autonomous Systems (CVAS)
Speaker: L5 Student
Date: 08 May, 2026
Time: 13:00 - 14:00
Location: SAWB 423, Sir Alwyn Williams Building

Silence detection, sometimes called rest detection, is a complex sub problem in digital audio processing, which has largely been solved with regards to speech. The problem lacks a reliable standard solution in the context of automatic music transcription (AMT). This paper aims to provide a reliable solution in the form of a recurrent neural network (RNN) and to build on previous research which attempted to perform AMT on monophonic piano melodies. Two recurrent models were considered and a 2-dimensional model working on waveforms was developed with a macro F1 score of 0.979 and an overall accuracy of 98%. When integrated with the previously built AMT model, the neural network was able to increase the rate of successful offset detection from 65.61% to 91.28%.

Upcoming events

CVAS: Accurate Silence Detection in Recorded Music: A Deep Learning Approach

Group: Computer Vision for Autonomous Systems (CVAS)
Speaker: L5 Student
Date: 08 May, 2026
Time: 13:00 - 14:00
Location: SAWB 423, Sir Alwyn Williams Building

Silence detection, sometimes called rest detection, is a complex sub problem in digital audio processing, which has largely been solved with regards to speech. The problem lacks a reliable standard solution in the context of automatic music transcription (AMT). This paper aims to provide a reliable solution in the form of a recurrent neural network (RNN) and to build on previous research which attempted to perform AMT on monophonic piano melodies. Two recurrent models were considered and a 2-dimensional model working on waveforms was developed with a macro F1 score of 0.979 and an overall accuracy of 98%. When integrated with the previously built AMT model, the neural network was able to increase the rate of successful offset detection from 65.61% to 91.28%.

Efficient and Effective Joint Optimization of Multimodal Item Representations for Recommendation

Group: Information Retrieval (IR)
Speaker: Junchen Fu, University of Glasgow
Date: 11 May, 2026
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Title:
Efficient and Effective Joint Optimization of Multimodal Item Representations for Recommendation

Abstract:
Multimodal recommendation has traditionally relied on frozen item representations, where visual or textual encoders extract item features offline and recommenders learn user preferences on top of them. However, such representations are often aligned with general multimodal semantics rather than user behavior signals. In this talk, I will present our recent work on recommendation-aware item representation learning through efficient and effective joint optimization. I will first focus on traditional multimodal sequential recommendation, where items are represented as continuous visual/textual features, and introduce our decoupled adaptation paradigm, including IISAN, IISAN-Versa, and CROSSAN, which uses side adapters and caching strategies to achieve recommendation-aware representation learning with much lower computational cost. I will then extend this perspective to semantic-ID based generative recommendation, where core item representations become discrete semantic codes. In this setting, offline generated semantic IDs may suffer from the same recommendation-misalignment problem as frozen features, while joint optimization introduces new challenges such as non-differentiability and codebook collapse. To address these issues, I will present DIGER, which uses differentiable semantic IDs and Gumbel-noise-driven exploration to address the codebook collapse problem during joint optimization. Overall, this talk offers a unified view of efficient and effective joint optimization of item multimodal representation learning, from continuous multimodal features to discrete semantic IDs.

Bio:
Junchen Fu is a PhD candidate in Computing Science at the University of Glasgow, advised by Prof. Joemon M. Jose and mentored by Dr. Alexandros Karatzoglou and Dr. Ioannis Arapakis. He is also a visiting PhD student at Leiden University, advised by Prof. Zhaochun Ren and Prof. Suzan Verberne. His research focuses on developing efficient and effective multimodal recommender systems. His representative works include Adapter4Rec, IISAN, IISAN-Versa, and DIGER, published in premier venues such as WSDM, SIGIR, and IEEE TKDE. According to Google Scholar, his research has received over 750 citations.

tbc

Group: Systems Seminars
Speaker: Yuxin Qin, University of Glasgow
Date: 12 May, 2026
Time: 14:00 - 15:00
Location: Room 422, Sir Alwyn Williams Building and Zoom

tbc

[FATA Seminar] Logics for the specification of hyperproperties

Group: Formal Analysis, Theory and Algorithms (FATA)
Speaker: Jonni Virtema, FATA
Date: 12 May, 2026
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Since the 1980s, model checking has become a staple in verification. For Linear Temporal Logic (LTL) and its progeny, the model checking problem asks whether every trace of a given system fulfils a given temporal specification such as a liveness or fairness property. Notably, this specification considers the traces of the input in isolation and cannot relate different traces to each other. However, it is not hard to come up with natural properties that require viewing different traces in tandem. A textbook example is bounded termination; one cannot decide whether a system terminates in bounded time by considering computation traces of the system in isolation. Further typical properties of this kind are many information-flow properties of systems such as observational determinism or generalised non-interference. A common term coined for properties of the aforementioned kind are hyperproperties (in contrast to trace properties). Hyperproperties describe properties of sets of traces, and since LTL and other traditional temporal logics can only specify trace properties, new logics have needed to be designed to fill this gap. In this talk, I review two approaches for designing logics for hyperproperties: a) HyperLTL and is progeny that are obtained from classical temporal logics by extending their syntax with quantifiers ranging over traces, b) TeamLTL and its variants, which adopt team semantics and lift the satisfaction of LTL formulae to sets of traces directly. In addition to introducing these logical formalism, I will review their expressive power (in relation to each other) and the complexity of their model checking and satisfiability problems.

SCONE Meeting

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 15 May, 2026
Time: 12:00 - 17:00
Location: Informatics Forum, School of Informatics, University of Edinburgh, Edinburgh, EH8 9AB

The next SCONE meeting will be hosted at University of Edinburgh on Friday 15th May. Register SCONE is the SCOttish Networking Event – an informal gathering of networking and systems researchers in and around Scotland. The goal of these meetings is to foster interaction between researchers from our various institutions. Each meeting will take place over the course of an afternoon, and feature: talks from PhD students talks from faculty, postdocs and industrial researchers discussions of possible funding opportunities food and drink

SICSA Seminar - Dr Abd Alsattar Ardati presents Teaching Product Judgement

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 19 May, 2026
Time: 11:00 - 11:00
Location: Jack Cole Building, University of St Andrews, St Andrews

Teaching Product Judgement: Rethinking the Student Experience in Software Product and Project Management with Dr Abd Alsattar Ardati Abstract: Software engineering students are often well prepared to think about implementation and delivery, but less often asked to reason about value, prioritisation, uncertainty, and strategic trade-offs. In this talk, I will present the pedagogical design of CS5034, a Master’s-level module in Software Product and Project Management at the University of St Andrews, and reflect on how it was used to reshape the student experience around product judgement rather than delivery alone. The module combines a standards-based foundation in software product management through ISPMA with discovery-led teaching, a shared fictional startup case, studio-style tutorials, and coursework built around revision and feedback. I will discuss how this design makes assumptions, trade-offs, and strategic reasoning more visible to students, and what this experience suggests for educators seeking stronger connections between software engineering education and contemporary product practice. Dr Abd Alsattar Ardati is a Lecturer in Computer Science at the University of St Andrews where his work spans human computer interaction, software engineering, and digital inclusion, with a focus on participatory design and socio-technical systems that connect universities, industry, and communities. This seminar will be hybrid from University of St Andrews. Register to receive meeting link.

[FATA Seminar] Constraint Solving During a RAM Crisis - CP in 300 Kilobytes

Group: Formal Analysis, Theory and Algorithms (FATA)
Speaker: Guido Tack, Monash University
Date: 19 May, 2026
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Constraint solving is a way of describing decision problems using variables and rules, and then automatically finding solutions that satisfy those rules. It is widely used in applications such as scheduling, assignment, configuration, routing, and rostering. The systems used for solving these problems are usually designed for desktop and server machines with abundant memory. This talk explores whether constraint programming can be reengineered for microcontroller-class hardware instead, where processors are increasingly capable, but RAM is often limited to only a few hundred kilobytes. I will present Thornbill-CP, a constraint programming solver architecture designed for that environment, and discuss what changes are necessary when constraint solving is pushed into such a tight memory budget. The talk will explain briefly how traditional constraint solvers work, and then cover the main architectural ideas behind Thornbill-CP, early results from running it on ESP32 and RP-series devices, and the kinds of embedded applications that could benefit from on-device constraint solving.

"Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies

Group: Networked Systems Research Laboratory (NETLAB)
Speaker: Yangheran Piao, University of Edinburgh
Date: 21 May, 2026
Time: 10:00 - 11:00
Location: Sir Alwyn Williams Building, 423 Seminar Room

Abstract:

As vendors adopt AI technologies, security researchers are working to uncover and fix related vulnerabilities, which is important given AI systems handle sensitive data and critical functions. This process relies on vendors receiving and rewarding AI vulnerability reports. To assess current practices, we analyzed the vulnerability disclosure policies of 264 AI vendors. We employed a mixed-methods approach, combining snapshot and longitudinal qualitative analysis, as well as comparing alignment with 320 AI incidents and 260 academic articles. Our analysis reveals that 36% of AI vendors have no established policy, and only 18% mention AI risks. Data access, authorization, and model extraction vulnerabilities are most consistently declared in-scope. Jailbreaking and hallucination are most commonly declared out-of-scope. We identify three profiles that reflect vendors' different positions toward AI vulnerabilities: proactive clarification (n = 46), silent (n = 115), and restrictive (n = 103). Our alignment results suggest that vendors may address AI vulnerability disclosure later than academic research and real-world incidents.

Bio:

Yangheran (Lawrence) Piao is a third-year PhD student at the School of Informatics, University of Edinburgh. His research explores usable security, security economics, and cybercrime, with a specific focus on the vulnerability disclosure ecosystem, bug bounties, and AI vulnerability reporting. Yangheran’s work has been published and presented at premier security venues, including USENIX Security, IEEE S&P (Oakland), and WEIS.

Computing for Whom? Capital and Participation in Computing Higher Education

Group: Computing Science Education Research and Practice
Speaker: Thom Kunkeler, Uppsala University
Date: 21 May, 2026
Time: 15:00 - 16:00
Location: F121 Lilybank Gardens and Online

Computing education in Western countries has traditionally been characterised by low levels of participation and diversity amongst its student population. In order to broaden participation in the field, it is fundamental to understand why students engage with computing, and what they aspire to get out of their education. In my PhD research, I apply Bourdieu’s framework on social, cultural, and economic capital to address the issue. During this informal research discussion, I present findings from a nationwide population study examining transitions into computing education in Sweden. Using administrative register data covering all 1,014,519 upper secondary graduates between 2014 and 2024, the analysis identifies 8,916 individuals who completed a computing-related higher education degree as their first qualification. The study examines how upper secondary programme choice, academic performance, family education, income, parental occupation, and geography shape transitions into computing. The results show that computing graduates are disproportionately drawn from technical and science programmes and from families with higher levels of educational and socioeconomic capital. These findings highlight how early educational pathways and social background structure access to computing education, with implications for broadening participation in the field.

[FATA Seminar] TBA

Group: Formal Analysis, Theory and Algorithms (FATA)
Speaker: Ricardo Almeida, FATA
Date: 26 May, 2026
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

TBA

Scottish Argumentation Day 2026

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 29 May, 2026
Time: 01:00 - 01:00
Location: University of Dundee

Scotland has a particularly high concentration of research groups working in the AI subfield of computational argumentation. Scottish Argumentation Day has previously been attended by researchers based both in Scotland and further afield, and has enabled the Scottish argumentation community to present their work in an informal setting, share feedback, and strengthen professional links. SAD began with Aberdeen 2011, and most recently took place in Edinburgh 2024. In continuing this series, our aim is threefold: (i) enable Scottish argumentation researchers, and especially PhD students, to mutually present their work; (ii) affirm Scottish argumentation research as a recognisable presence; (iii) provide a concrete opportunity for Scottish researchers to network. At SAD 2026 we aim to improve visibility for Scotland-based researchers, especially PhD students and early-career researchers, to encourage knowledge- and skill-exchange at all levels, and to foster cross-institution relations and collaborations. Participation is free but registration is required. ————————————————– We invite abstracts of up to 250 words to be presented as a short talk or poster. Participants at all levels are encouraged to present work, so that everyone can come away with a view of the current Scottish argumentation landscape. We invite abstracts at a range of levels, including: Overview of a specific research project or a lab’s area of work Recent work Work in progress, recent findings or initial results PhD projects and project plans PhD students are especially encouraged to present their projects and project plans to benefit from wider feedback in a supportive atmosphere. Abstract submission form: https://forms.gle/qCVGqi1sahCKATJv6 ————————————————– The day will be scaffolded by three keynote talks by John Lawrence of the University of Dundee, Elena Musi of the University of Liverpool and Henning Wachsmuth of Leibniz University Hannover. ————————————————–

TBC

Group: Networked Systems Research Laboratory (NETLAB)
Speaker: Jinming Yang
Date: 04 June, 2026
Time: 10:00 - 11:00
Location: Sir Alwyn Williams Building, 423 Seminar Room

EASE 2026: International Conference on Evaluation and Assessment in Software Engineering

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 09 June, 2026
Time: 01:00 - 01:00
Location: James McCune Smith Learning Hub, University Avenue, Glasgow, G12 8QW

EASE is an internationally leading venue for academics and practitioners to present and discuss their research on evidence-based software engineering, and its implications for software practice. EASE is ranked as A conference in CORE. The 30th edition of EASE will take place in Glasgow, Scotland. EASE 2026 welcomes high-quality submissions, describing original and unpublished research for the following tracks: full research papers, short papers & emerging results, industry, posters & vision, journal-first, and a doctoral symposium. There will also be co-located events, including workshops and tutorials, and a track planned for journal-first presentations. See conference website for submission tracks and deadlines. EASE 2026

S3CIX 2026 - Symposium and Summer School on Computational Interaction

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 16 June, 2026
Time: 01:00 - 01:00
Location: Sir Alwyn Williams Building, University of Glasgow, 18 Lilybank Gardens, Glasgow, G12 8QN, United Kingdom

Registration for the 10th Symposium and Summer School on Computational Interaction will open 1 February and close 14 March 2026. View programme, event details and registration process at S³CIX 2026. This year S³CIX is expanding from a Summer School format to also include a 4 day long academic Symposium. We anticipate about 30 students and 40 academics and invited speakers to attend. There will also be two workshops. Computational interaction often involves elements from machine learning, signal processing, information theory, optimisation, inference, control theory and formal modelling. Computational interaction would typically involve at least one of: an explicit mathematical model of user-system behaviour; a way of updating that model with observed data from users; an algorithmic element that, using this model, can directly synthesise or adapt the design; a way of automating and instrumenting the modelling and design process; the ability to simulate or synthesise elements of the expected user-system behaviour.”

TBC

Group: Networked Systems Research Laboratory (NETLAB)
Speaker: Muhammad Arif
Date: 18 June, 2026
Time: 10:00 - 11:00
Location: Lilybank Gardens, F121 Conference Room

10th Summer School and Symposium on Computational Interaction (S³CIX)

Group: Inference, Dynamics and Interaction (IDI)
Speaker: multiple
Date: 20 June, 2026
Time: 09:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Welcome to the Symposium and Summer School on Computational Interaction! This year we are expanding from a Summer School format to also include a 4 day long academic Symposium. We anticipate about 30 students and 40 academics and invited speakers to attend. There will also be two workshops.

SPLV’26: Scottish Programming Languages and Verification Summer School 2026

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 03 August, 2026
Time: 01:00 - 01:00
Location: TBA

The 2026 edition of SPLV will be held at the University of Glasgow, with the main courses running from within the Gilbert Scott Building. The school is aimed at PhD students in programming languages, verification and related areas. Researchers and practitioners are welcome, as are strong undergraduate and masters students with the support of a supervisor. Participants should have a background in computer science, mathematics or a related discipline. Prospective students may contact the organisers if they have any concerns about background knowledge. Registration will open March 2026. View full programme at SPLV 2026 | SPLV

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