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Research interests include Survival Analysis, Bayesian Modelling, Data Mining, Markov Modelling and Stochastic Models. Research applications range from a strong foundation in healthcare research and medical Statistics and Operational Research to infrastructure modelling and flow modelling. Research funding from both national and international sources continues to underpin this research effort.
Chair of the Statistics and Operational Research Examination Board.
The main area of my research has specialised in Coxian phase-type distributions. Since commencing work in this field in 1997, the area which had barely any research is gradually gaining momentum with more and more researchers wishing to explore the models for alternative use, further research and development and application.
Alongside this, the work I've conducted and supervised through CenSSOR has led to Queen's being seen as experts in this field. In the last 2 years, major developments in the coding has resulted in the various models now becoming much more accessible to researchers in other domains. Future research in this field is very promising.
The original research focused on healthcare of the elderly. The UK Health Reform in 2010 and growing needs for all countries to plan and manage elderly healthcare and its associated costs makes the research extremely topical and relevant to have impact on society.
One mechanism for making this possible is the Cunberland Initiative Group of which I am a founding member. We are in the process of preparing a multi-million bid for submission to the Technology Strategy Board (TSB) grant which would be supported by other grant bodies such as EPSRC, Department of Health, and NIHR. We have also started consultancy work with some of the regional health groups.
Teaching interests involve all areas of Statistics. In particular, I am involved with the development of new modules and course pathways. In 2005, the pathway for Mathematics, Statistics & Operational Research was introduced.
More recently in 2017, I developed the new MSc Data Analytics course as a new Faculty initiative in partnership with industry. The course is now open for applications with the first intake of students starting in September 2017. As Programme Director of the course, I have outlined its priorities to deliver highly skilled experts in data analytics who will be trained in both the computational and statistical aspects of the subject area. The course has been developed to meet the growing demands for data analytics and data science experts in industry providing modules such as Fundamentals in Data Analytics, Progamming and Database Fundamentals, Data Mining, Machine Learning, Frontiers in Analytics (which includes Behavioural Analytics and Visual Analytics) and Analytics in Action where we run our own Analytathons.
Research output: Contribution to conference › Poster
A New Data Analytics Framework Emphasising Pre-processing in Learning AI Models for Complex Manufacturing Systems
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Research output: Contribution to journal › Article
Additional searchable ISSN (Electronic): 1572-9389
Kluwer Academic Publishers
Scopus rating (2017): CiteScore 1.93 SJR 0.834 SNIP 1.422
Additional searchable ISSN (Electronic): 1476-9360
Palgrave Macmillan Ltd.
Scopus rating (2017): CiteScore 1.56 SJR 1.002 SNIP 1
Institute of Electrical and Electronics Engineers Inc.
ISSNs: 1355-6037, 0007-0769
Additional searchable ISSN (Electronic): 1468-201X
BMJ Publishing Group
Scopus rating (2017): CiteScore 3.21 SJR 2.853 SNIP 1.739
Additional searchable ISSN (Electronic): 1460-2385
Oxford University Press
Scopus rating (2017): CiteScore 4.08 SJR 2.142 SNIP 1.596
Activity: Participating in or organising an event types › Participation in conference
Activity: Visiting an external institution types › Visiting an external academic institution
Statistics Course for School Teachers: Examine how to teach statistical content through the interrogation of data.
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
Contribution to conference papers, events and activities