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Professor Fionn Murtagh

School of Computer Science

Queen’s University Belfast

Belfast BT7 1NN

Northern Ireland, UK

http://www.cs.qub.ac.uk/~F.Murtagh

Tel +44 28 9027-4620

Fax +44 28 9068-3890

Email f.murtagh@qub.ac.uk


Fionn Murtagh, date of birth 26 August 1954, Dublin, Ireland
Academic qualifications with dates:
BA, BAI (Engineering Science, Mathematics), 1976
MSc (Computer Science), 1979
PhD (Mathematical Statistics), 1981
Habilitation (Astronomy), 1993

Brief resume of scientific career:

1999- Full Professor, Computer Science, 
Queen's University Belfast
1996-1999 Full Professor, Computing Science,
University of Ulster
1990- Adjunct Professor, Universite Louis
Pasteur, Strasbourg, France
1984-1996 Senior Scientist, Space Science Dept.,
European Space Agency, Germany
1984 Visiting Scientist, European Commission,
Joint Research Centre, Ispra, Italy
1980-1984 Lecturer, Computer Science, University
College Dublin, Ireland

Other positions held and professional service:

Editor-in-Chief, The Computer Journal.
Member of editorial boards of: Journal of Classification, Journal of
Multivariate Analysis, Neurocomputing, Artificial Intelligence
Review, and others. 
Member of Board of Directors of Classification Society of North
America. 

Assistant Director for Technology Transfer, Centre for Health Care
Informatics, Queen's University Belfast.

Fellow of the British Computer Society, FBCS.

Publications (max 5) 10 books, approx. 150 refereed journal papers. 

1. JL Starck, F Murtagh and A Bijaoui, Image Processing and Data Analysis: 
The Multiscale Approach, Cambridge University Press, 1998
2. JL Starck and F Murtagh, "Multiscale entropy filtering", Signal Processing, 76, 147-165, 1999
3. F Murtagh, JL Starck and M Louys, "Very high quality image compression based on noise modeling", International Journal of 
Imaging Systems and Technology, 9, 38-45, 1998
4. J.L. Starck, A. Bijaoui, I. Valtchanov and F. Murtagh, "A combined approach for object detection and deconvolution", Astronomy and Astrophysics Supplement Series, 147, 1-10, 2000. 
5. JG Campbell and F Murtagh, "Automatic visual inspection of woven textiles using a two-stage defect detector", Optical Engineering, 37, 2536-2542, 1998. 
6. JL Starck, F Murtagh and R Gastaud, "A new entropy measure based on the wavelet transform and noise modeling", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 45, 1118-1124, 1998. 

See web area, http://www.cs.qub.ac.uk/~F.Murtagh for other positions
held, publications, etc.

Some current and recent grants held (approx. Euro):
COST Action 283 - "Computational and Information Infrastructurein the Astronomical DataGrid", approx. 300k, 2001-2004. 
Sonic Arts Research Centre, 6 million.Astro-Grid (UK), 6 million. 
"AQUA-STEW" - European (Fifth Framework) project on water quality surveillance: total value 1 million.
"IRAIA" - Fifth Framework project on navigation in information spaces, finished 2002.
JREI (UK) robotic surgery equipment grant: 600k.
With local company: data analysis of transformer oils: 100k.
EPSRC (UK) analysis of civil engineering materials: 200k.
Fourth Framework projects - "NEUROSAT" - neural networks for analysis of ocean upwelling; "ADDSIA" - information retrieval
in distributed heterogeneous statistical databases.
A number of Concerted Action projects in the Fourth and earlier Framework programs related to the Eurostat - Statistical Office 
of the EC, Luxembourg. 
Various small grants - conference organization, telecoms consultancy, travel.

Dr I.M. Rea MD, BSc, FRCP

Senior Lecturer/Consultant Physician

Geriatric Medicine

Queen's University Belfast

i.rea@qub.ac.uk

 

Involvement in:

JPA S2 - "Knowledge Management and Data Base System",

A1 - "Communication patient - physician"

A2 - "Communication physician - physician/student".

JPA T4 - "Signal Processing", in particular in the areas of system design, integration and usability studies

 

Under JPA S2 and also JPA T4, I propose a work package to establish a Europe-wide database collecting common information from the various longitudinal studies of aging which have been previously established.  Such a database, by combining smaller EU cohort studies, could provide adequate statistical power for world class studies on older people across Europe.  It would at the same time enhance the power of research on small specialized groups such as very elderly males and the oldest old, on whom little world wide information is available. 

Statistical studies of the following are targeted:

assessment of genetic, environmental and social factors which could inform on morbidity and mortality outcomes in old and oldest old population groups across Europe.

It could also effectively validate the model for immunological risk phenotypes, frailty phenotypes, and attempt to produce a successful aging phenotype for later testing in ongoing studies of aging.  These objectives contribute to priority thematic area 1.1.1 and sections 1.1.1.iii, iv and particularly 1.1.1.v.

With statistical and knowledge extraction functionality, contributed to by Medical and Computer Science partners (including F Murtagh and D Bell, CS, QUB), this knowledge base will focus on the interfaces between molecular, genetic and epidemiological aspects of aging in a European perspective. 

 

An associated IP proposal on aging/inflammation is planned, in the biological/genomics area, which will complement NoE proposal PatiMon. 

 

Contribution to A2 "Communication physician - physician/student".

We also intend to contribute in the structuring and networking of the physician/student interface locally and across Europe. 

  

Dr Kieran McGlade

Deparment of General Practice

and Dunluce Medical Centre

Queen's University Belfast

 

Under JPA T4 - "Signal Processing", and JPA S2 -

"Knowledge Management and Data Base System",

work on off-site patient care and monitoring, AsthmaNet, and clinical testing. 


Other colleagues in QUB: 
Prof David Bell, evidence management and combination.
Prof Danny Crookes, programmable hardware (FPGA) and software environments. 

Collectively our particular strengths are in the areas of (FM) image and signal processing, wavelet and other multiresolution 
methods, Bayesian decision methods, 
(DC) FPGA and related programmable hardware/software environments,
(DB) uncertainty inference and reasoning, heterogeneous distributed database management systems. 

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