Systems Research Group seminars

The Systems Research Group is re-starting their seminars series from 6th May 2022. Seminars will take place every two weeks at 1pm, on Fridays. From May to July the seminars will be online (SRG Teams), while from September onward we aim to move them to a hybrid format. More information on the schedule can be found on the seminars page of the Systems Research Group site.

Learning to Describe: A New Approach to Computer Vision Based Ancient Coin Analysis

The work on deep learning based understanding of ancient coins by Jessica Cooper, who is a Research Assistant and a part-time PhD student supervised by Oggie Arandjelovic and David Harrison has been chosen as a featured, “title story” article by the Journal Sci where it was published in a Special Issue Machine Learning and Vision for Cultural Heritage.

Open source contributors sought for an interview

MANAGING OPEN SOURCE PROJECTS ON GITHUB — SUCCESS FACTORS AND PERFORMANCE INDICATORS

As a part of my, Julia Seeger’s, MSc Dissertation in the School of Computer Science at the University of St Andrews I am looking for volunteers for an interview. This interview is a part of a research project focussed on success factors and performance indicators of managing open source projects hosted on GitHub.

I am looking for core contributors to open source projects hosted on GitHub. Ideally, the project should have configured and make use of Travis CI, and should have a history of pull requests before and after the configuration of Travis CI.

I would firstly be interested in your opinion about success factors and performance indicators that I have identified by analysing the public GitHub repository of your project with the help of the GitHub API. I will ask if, as a core contributor of the project, you would agree or disagree with my findings. Secondly, I am interested in your personal experience in managing a repository of an open source project on GitHub, and the factors and managing techniques you identified to be important for a successful project.

The interview will take place in a form of a video or an audio call via Skype for Business or Microsoft Teams. The interview will take place during July 2020, consists of 6 questions and will last around 25 minutes. If you agree to participate, questions will be given to you at least three days in advance.

If you are willing to participate, please get in touch using the contact details below. You will then be given a Participant Information Sheet that further details my research, and will have the opportunity to ask questions, before being asked whether you consent to participate.

Contact Details

Researcher: Julia Seeger
js433@st-andrews.ac.uk

Supervisor: Dr. Alexander Konovalov
alexander.konovalov@st-andrews.ac.uk

Leverhulme Early Career Fellowship for Nguyen Dang

Congratulations to Dr Nguyen Dang, who has been awarded a Leverhulme Trust Early Career Fellowship. The 3 year Fellowships are intended to assist those at an early stage of their academic careers to undertake a significant piece of publishable work. Nguyen will be researching Constraint-based automated generation of synthetic benchmark instances.

Abstract summary: “Combinatorial problems such as routing or timetabling are ubiquitous in society, industry, and academia. In the quest to develop algorithms to solve these problems effectively, we need benchmark instances. An instance is an example of the problems at hand for testing how well an algorithm performs. Having rich benchmarks of instances is essential for algorithm developers to gain understanding about the strengths and weaknesses of their approaches, and ensure successful applications in practice. This fellowship will provide a fully automated system for generating valid and useful synthetic benchmark instances based on a constraint modelling pipeline that supports several algorithmic techniques.”

Winnability of Klondike Solitaire research features in Major Nelson’s video podcast

Research carried out by Charlie Blake and Ian Gent to compute the approximate odds of winning any version of solitaire features in Major Nelson’s Video Podcast [Interview with Ian and Charlie starts 23:56] for XBox news today.

Today is National Solitaire Day and the 30th anniversary of the game. The celebrations include an invitation to participate in a record breaking attempt at the most games of Microsoft Solitaire completed in one day. You can download the collection free or play it through your browser.

The Klondike Solitaire research also featured in the New Scientist last year.
Link to the full paper on arxiv: https://arxiv.org/abs/1906.12314

Online article published in Technology Nov 17th 2019: https://www.newscientist.com/article/2223643-we-finally-know-the-odds-of-winning-a-game-of-solitaire/

The Serums Project Consortium meeting

This Week Dr Juliana Bowles brought together nine leading academic and industry partners for the 4th Consortium meeting for the Serums project.

The project aims to produce tools and technologies to support future-generation healthcare systems that will integrate home-based healthcare into a holistic treatment plan, reducing cost and travel-associated risks and increasing quality of healthcare provision.

For further information on the project visit the Serums website

Image and text provided by Annemarie Paton

Modern practices of sharing computational research

As a part of the Love Data Week, Alexander Konovalov will give a talk on Tuesday 11 February, 3pm, Physics Lecture Theatre C.

Abstract: Have you been frustrated by trying to use someone else’s code which is non-trivial to install? Have you tried to make supplementary code for your paper to be easily accessible for the reader? If so, you certainly know that this may require non-trivial efforts. I will demonstrate some tools that may help to create reproducible computational experiments, and will explain which skills will be needed to use these tools. The talk will demonstrate examples in Python and R runnable in Jupyter notebooks. You are welcome to bring your laptop to try these examples online. No prior knowledge of programming is required.

Links:

  • Templates for reproducible experiments in GAP, Python and R
  • Code4REF guidance on recording research software in Pure

References:

Event details

  • When: 11th February 2020 15:00 - 16:00
  • Where: Phys Theatre C
  • Format: Talk

Georgios Gerasimou (University of St Andrews): Frontiers in computational revealed preference analysis

RESCHEDULED: please note the changed date and a non-standard time!

Abstract: Prest is a recently published piece of open-source software for computational revealed preference analysis that provides novel ways to estimate decision makers’ preferences over choice alternatives by analysing their observable choice behaviour. This software is informed by classic as well as recent developments in economic revealed preference theory. Some of the recent developments take the form of models that are computationally complex. This complexity currently hinders the inclusion of these models in the Prest toolkit. The presentation will first aim to describe the primary ideas underpinning Prest and illustrate them with examples from its existing toolkit. It will then proceed with a discussion of some of the challenges pertaining to the expansion of that toolkit with more models and operations. The presentation will be self-contained and no prior background in economics will be necessary.

Speaker Bio: Georgios is a Reader in Economics at the University of St Andrews, working mainly on decision theory and revealed preference analysis. In the latter research programme, Georgios’ work aims to improve our understanding of people’s decision processes and preferences through theoretical, experimental/empirical as well as computational methods. Georgios co-developed the Prest software program for computational revealed preference analysis (https://prestsoftware.com/).

Event details

  • When: 17th February 2020 14:00 - 15:00
  • Where: Cole 1.33b
  • Series: School Seminar Series
  • Format: Seminar