Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


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Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


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AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Notice

AISB opportunities Bulletin Item

PhD Opportunity: Handling Complexities in Large Clinical Datasets, HULL (UK)

http://www2.hull.ac.uk/science/pdf/CS%20Chandra%20Ad%20for%202011%20PhD%20Studentships.pdf
Contact: Dr Chandra Kambhampati, c.kambhampati@hull.ac.uk

Full UK/EU PhD Scholarship in Depts of Computer Science and Cardiology Handling Complexities in Large Clinical Datasets, University of Hull

The University of Hull is offering one UK/EU PhD Scholarship for candidates applying for the above
project.
Closing date: Friday 27 May 2011.
Studentships will start in September 2011
Supervisor: Dr Chandra Kambhampati
Email: c.kambhampati@hull.ac.uk
Telephone: +44 (1482) 465744
Department: Computer Science
Co-Supervisors: Professor John Cleland (Cardiology), Dr Darryl Davis (Computer Science)
PhD Project: http://www2.hull.ac.uk/science/computer_science/prospective_students/postgraduate_research/projects.aspx
Full advert at:  http://www2.hull.ac.uk/science/pdf/CS%20Chandra%20Ad%20for%202011%20PhD%20Studentships.pdf

Clinical data often presents itself with a number of problems, e.g. high dimensionality, missing values and unbalanced classes of data amongst others. These create a unique set of problems for developing appropriate classification/prediction models, and compromise the development of Decision Support Systems. Often, the first stage is to reduce the dimensionality of the problem. Dimensionality reduction techniques can be categorised into two (a) feature extraction and (b) feature selection techniques. The choice of technique is dependent on the nature of the final solution that is required. For example, in image processing feature extraction could be a very attractive option. On the other hand developing decision support systems, which will use the variables observed, in order to make sense to the user, feature selection techniques could prove to be more amenable. With clinical datasets, the resolution is not straightforward. The efficacy of the computational strategy is dependent on the manner in which missing data is handled. The methods used for this, dictates the methods used for handling unbalanced classes. The project proposes to investigate and develop methodologies which would be able to handle high dimensionality, missing values and unbalanced classes.

The aims of the research are thus
(a) Investigate methods for handling missing data e.g. Expected maximum likelihood, imputation, 
hot-decking, mean/mode, classifier and ensemble methods
(b) Investigate the relationships between methods for filling in missing data feature 
extraction/feature selection methods, with a view to develop prediction models and Decision
Support Systems
(c) Develop Bayesian methods for missing data and thus develop an integrated solution for handling
missing data and feature selection, and at the same time handle unbalanced classes.

This full-time UK/EU PhD Scholarship will include fees at the home/EU' student rate and maintenance
(13,490 in 2011/12, subject to final confirmation) for three years, depending on satisfactory 
progress. PhD students at the University of Hull follow modules for research and transferable 
skills development and gain a Masters level Certificate, or Diploma, in Research Training, in 
addition to their research degree.

If you require to know more, please contact the Principal Supervisor: Dr Chandra Kambhampati via
Email: c.kambhampati@hull.ac.uk or myself (as Co-supervisor or as Director of Postgraduate Research Studies )

Darryl N. Davis
Director of Research
Director of Postgraduate Research Studies