As Muffy Thomas, she was awarded her PhD, in Computational Logic, in this School in 1988.
Details are at http://www.scotland.gov.uk/News/Releases/2012/02/scientific-adviser14022012
As Muffy Thomas, she was awarded her PhD, in Computational Logic, in this School in 1988.
Details are at http://www.scotland.gov.uk/News/Releases/2012/02/scientific-adviser14022012
Abstract: In this talk I will present some of the work being done in the new Inference, Dynamics, and Interaction group, at the University of Glasgow. In particular, we are interested in using probabilistic inference to improve interaction technology on handheld devices (particularly with touch screens).
I will show how we are using sequential Monte-Carlo techniques to infer distributions over user inputs which can be (1) augmented with applications to provide a smooth handover of control between the human and device and (2) used to extract additional information regarding touch interactions and subsequently improve touch accuracy.
There is a short bio on my webpage:
http://www.dcs.gla.ac.uk/~srogers
From October to December 2011, the School of Computer Science hosted Dr Alan Frisch from the University of York as a SICSA Distinguished Visiting Fellow. While here, Dr Frisch kindly agreed to give a seminar entitled “Decade of Progress in Constraint Modelling & Reformulation: The Quest for Abstraction and Automation”, the video of which can now be found here.
During his Fellowship Dr Frisch also visited, and spoke at, the universities of Dundee, Edinburgh and Glasgow.
Last week we had a very successful poster session for PhD students to feature their research in the School of Computer Science. As previously blogged, three prizes were awarded by Professor Emeritus and former head of School, Ron Morrison.
Many of the posters featured at this session, including all the prizewinners, are now available for everyone to look at.
Competition entrants included:
Many thanks to all the students for their hard work in creating such interesting posters, and to Ron for his very careful prizegiving.
The PhD poster session took place today in the Jack Cole coffee area.
Ron Morrison awarded Amazon vouchers to the three best posters. Congratulations to Lakshitha, Yi and Ali.
3rd place to System Deployment Costs in Public Clouds – Ali Khajeh-Hosseini
2nd place to Building Energy Awareness into ICT Systems (complete with magnifying glass) – Yi Yu
1st place to Monitoring Architectural Conformance through Runtime Event Interpretation – Lakshitha De Silva
Many of the posters featured at this session, including all the prizewinners, are now available for everyone to look at.
Competition entrants included:
UCAS applicants are welcomed to the School of Computer Science for an Undergraduate visiting day.
UCAS applicants are welcomed to the School of Computer Science for an Undergraduate visiting day.
The SACHI research group are seeking applications for a research fellow
Information on how to apply.
The next SCONE meeting will be held in the School of Computer Science
in St Andrews on Friday 24 February. We will start with lunch at 1200,
and the main event from 1300-1700 before adjourning to a pub.
To register, please e-mail Tristan Henderson so that we can organise numbers for
catering.
The format for this meeting will be a very small number of talks, and
a PhD poster session. If you are a PhD student, then please consider
bringing a poster to advertise your work and elicit feedback. If you
are a PhD supervisor, then please encourage your students to present a
poster.
If you are not a PhD student and would like to give a talk, then
please also get in touch.
The programme will eventually become available here.
A talk on “Proactive contextual information retrieval” by Samuel Kaski of Aalto University and University of Helsinki, Finland.
Abstract:
In proactive information retrieval the ultimate goal is to seamlessly access relevant multimodal information in a context-sensitive way. Usually explicit queries are not available or are insufficient, and the alternative is to try to infer users’ interests from implicit feedback signals, such as clickstreams or eye tracking. We have studied how to infer relevance of texts and images to the user from the eye movement patterns. The interests, formulated as an implicit query, can then be used in further searches. I will discuss our new machine learning-based results in this field, including data glasses-based augmented reality interface to contextual information, and timeline browsers for life logs.