The Melville Trust for the Care and Cure of Cancer have funded a PGR Studentship relative to the project entitled ‘Detecting high-risk smokers in Primary Care Electronic Health Records: An automatic classification, data extraction and predictive modelling approach’.
The supervisors are Prof. Frank Sullivan of the School of Medicine and Prof. Tom Kelsey of the School of Computer Science, with work commencing in September 2019. The award is for £83,875.
CodeFirst:Girls is an organisation which runs free coding courses for young women, with partner universities and companies across the UK. The University of St Andrews, School of Computer Science has been a keen supporter of CodeFirst:Girls for the past 5 years. We run their community courses in our premises with our students and staff volunteering as instructors, course ambassadors and presentation judges. Since partnering with CodeFirst:Girls in 2014, we have taught over 700 young women to code within St Andrews alone, contributing to the organisation’s vision of training 20,000 young women across the UK by the year 2020. The coding courses are very popular among the female students of St Andrews and receive a staggering 140 applications on average per semester.
This year, we further strengthened this collaboration between St Andrews and CodeFirst:Girls by recognising the training programmes on the students’ academic transcripts. St Andrews students who successfully complete a CodeFirst:Girls training programme (either the beginners HTML course, or advanced Python course) by fulfilling the attendance and assessment requirements, can have this listed in their academic transcript under “Prizes and Achievements”, thereby obtaining official recognition for the invaluable coding skills they gained through this training.
This idea was innovated by St Andrews student and CodeFirst:Girls course ambassador Nicola Sobieraj (MSc Research Methods in Psychology 2019); Bonnie Hacking (Enterprise Adviser, Careers Centre); and Shyam Reyal (Associate Lecturer in Computer Science).
In her own words, Nicola mentioned that “It was a privilege being an ambassador and to propose this idea to acknowledge the courses on the academic transcript. I have truly enjoyed being involved in the process and collaborating with inspiring people from CF:G and St Andrews. I’d love to see this idea in universities across the country and would definitely support this process”. Bonnie added “I’m delighted we are now able to recognise our student’s achievements through CodeFirst:Girls officially. I’ve been judging the presentations of their projects for several years and am always impressed by what they achieve.”
Ewa Magiera, Head of Communities of CodeFirst:Girls, expressed her contentment with this collaboration as “a milestone in our cooperation with St Andrews, a great way for students to receive recognition for their efforts, and an important step forward in our cooperation with academic institutions which host our courses”.
This definitely marks an important milestone for both St Andrews and CodeFirst:Girls – for St Andrews students’ to have this skill development programme added to the degree transcripts – and for CodeFirst:Girls, to be validated by Scotland’s oldest and highest ranked university for Computer Science. We believe this will immensely boost the student’s CV and portfolio, as their achievements and skills are validated and recognized by the university, thus increasing their employability.
Further information and key milestones in the St Andrews and CodeFirst:Girls collaboration journey can be found here.
Congratulations to our graduating student Daria, who was awarded the Principal’s medal during this year’s graduation ceremony in recognition of her outstanding achievements. Only two medals were awarded in 2019, one in the sciences, and one in humanities.
https://www.st-andrews.ac.uk/graduation/2019/daria-savanovich/
Congratulations to Professor Aaron Quigley who has been appointed as the new Director of SICSA. Aaron, the Chair of Human Computer Interaction co-founded SACHI, the St Andrews Computer Human Interaction research group and served as its director from 2011-2018.
In his volunteer roles he is the ACM SIGCHI Vice President for Conferences (on the ACM SIGCHI Executive Committee), member of the ACM Europe Council Conferences Working Group, a board member of ScotlandIS and an ACM Distinguished Speaker. Aaron will be general co-chair for the ACM CHI conference in Asia in 2021.
For more information about Professor Quigley, please see https://aaronquigley.org.
Congratulations to School Manager Alex Bain, who completed the London Marathon for the fourth time on Sunday, raising funds for Guide Dogs. Alex, runner no 33950 is pictured below with his finisher’s medal. Donations to recognise his achievement and the training involved, can be made via his Justgiving page. A charity bake sale in the School of Computer Science earlier this month helped to raise just over £520.
Congratulations to Juan Jose Mendoza Santana, who successfully defended his thesis last week. He is pictured with Internal examiner Dr Edwin Brady, supervisor Dr Julianna Bowles and external examiner Dr Stephen Brown, from Maynooth University.
Congratulations to Evan Brown, who successfully defended his thesis today. He is pictured with Internal examiner Dr Tristan Henderson and external examiner Professor Chris Marsden, Professor of Internet Law at the University of Sussex.
Evan’s PhD research on using corpus linguistics to build collaborative legal research tools was supervised by Professor Aaron Quigley.
The work of our MSc student, Jessica Cooper, supervised by Oggie Arandjelovic on the use of deep learning for the analysis of ancient Roman coins has been attracting widespread attention. From tech media to web sites of history, heritage, and numismatics focused communities, Jessica’s work has been recognized as highly innovative, with a potential to change the direction of research in the area. Jessica will be rejoining St Andrews in a month’s time, working with Oggie Arandjelovic on deep learning in pathology image analysis.
A paper describing the work of our MSc student Xingzhi Yue and PhD student Neofytos Dimitriou, supervised by Oggie Arandjelovic and in collaboration with the School of Medicine, gets the best paper finalist award at the latest International Conference on Bioinformatics and Computational Biology (BICOB 2019). The key contribution of the work is a novel deep learning based algorithm for the analysis of extremely large pathology image slides, capable of automating and improving colorectal cancer prognosis.
Biography:
Jane Hillston was appointed Professor of Quantitative Modelling in the School of Informatics at the University of Edinburgh in 2006, having joined the University as a Lecturer in Computer Science in 1995. She is currently Head of the School of Informatics. She is a Fellow of the Royal Society of Edinburgh and Member of Academia Europaea. She currently chairs the Executive Committee of the UK Computing Research Committee.
Jane Hillston’s research is concerned with formal approaches to modelling dynamic behaviour, particularly the use of stochastic process algebras for performance modelling and stochastic verification. The application of her modelling techniques have ranged from computer systems, to biological processes and transport systems. Her PhD dissertation was awarded the BCS/CPHC Distinguished Dissertation award in 1995 and she was the first recipient of the Roger Needham Award in 2005. She has published over 100 journal and conference papers and held several Research Council and European Commission grants.
She has a strong interest in promoting equality and diversity within Computer Science; she is a member of the Women’s Committee of the BCS Computing Academy and chaired the Women in Informatics Research and Education working group of Informatics Europe 2016—2018, and during that time instigated the Minerva Informatics Equality Award.
Formal Approaches to Quantitative Evaluation
Qualitative evaluation of computer systems seeks to ensure that the system does not exhibit bad behaviour and is in some sense “correct”. Whilst this is important it is also often useful to be able to reason not just about what will happen in the system, but also the dynamics of that behaviour: how long it will take, what are the probabilities of alternative outcomes, how much resource is used….? Such questions can be answered by quantitative analysis when information about timing and probability are incorporated into models of system behaviour.
In this short series of lectures I will talk about how we can extend formal methods to support quantitative evaluation as well as qualitative evaluation of systems. The first lecture will focus on computer systems and a basic approach based on the stochastic process algebra PEPA. In the second lecture I will introduce the language CARMA which is designed to support the analysis of collective adaptive systems, in which the structure of the system may change over time. In the third lecture I will consider systems where the exact details of behaviour may not be known and present the process algebra ProPPA which combines aspect of machine learning and inference with formal quantitative models.
Timetable:
Lecture 1: 9:30 – 10:30 – Performance Evaluation Process Algebra (PEPA)
Coffee break at 10:30 – 11:15
Lecture 2: 11:15 – 12:15 – Collective Adaptive Resource-sharing Markovian Agents (CARMA)
Lecture 3: 14:15 – 15:15 – Probabilistic Programming for Stochastic Dynamical Systems (ProPPA)
Venue: Upper and Lower College Halls
