School of Computing, Dublin City University, Glasnevin, Dublin 9 Phone: +353-1-7008980 Fax: +353-1-7005442 Email: info@computing.dcu.ie
The Modelling & Scientific Computing Group focuses mainly on computational models/ methods and analysis, and scientific applications of computing. Computational science problems range from condensed matter and statistical physics, through socioeconomic systems, to the biomedical sciences. The group has expertise in mathematical modelling and statistical analysis, employs a range of computational modelling methods, including top-down and bottom-up (CA, MC, agent-based), and utilises parallel and distributed computing for analysis and simulation.
Recent efforts included participation in the DREAM5* consortium challenge for robust gene network inference from high throughput data. The so-called 'Wisdom of Crowds' approach exploits the collective knowledge base to address long standing challenges, such as that of finding and modelling gene regulatory networks. The 5th annual systems biology computational challenge enabled characterisation and assessment of a range of inferential methods (including the evolutionary algorithm approach contributed by the DCU group), on benchmark datasets, with community-based 'concensus networks' found to be robust across data sources and type, (Published Nature Methods 2012 - http://modsci.computing.dcu.ie/publications.shtml [1] ) The wider relevance of such challenges is clear, with tractability of large-scale datasets a current focus for many disciplines and integrative data analysis for predictive modelling offering major advantages.
*Dialogue on Reverse Engineering Assessment and Methods
There are currently a number of research themes in the Modelling &Scientific Group: http://modsci.computing.dcu.ie [2]
Biocomputation (with research on Bio-systems modelling, Bioinformatics/Bio-data analytics, Biometrics, Models of disease, Bio-diversity and AI - for bio and artificial systems and Pattern Recognition).
Financial and Socioeconomic Modelling (including projects in Econophysics, statistical and computational models of Finance, system flows (social nets, traffic) and multivariate techniques in Finance). Business Informatics/analytics affiliation: http://www.computing.dcu.ie/big/ [3]
Sub-group in Environmental Modelling (including expertise in Wind and Wave Energy and Pollution Modelling, Pedestrian flows and urban impact, Green cityscapes - heterogeneous non-motorised/motorised traffic mix).
Affiliated: 3D Vision Group (Computer Vision, Human Behaviour Recognition using Mutliple Cameras, Autonomous Vehicle Navigation, 3D Object Recognition, Shape Recognition, Digital Learning using the Kinect). http://3dvg.computing.dcu.ie [4]
Assisted Living/Social Behaviour: in liaison with CLARITY centre. Current project on modelling & analysis of Lifelogging data: signal processing/bio-inspired pattern analysis.
Dr Martin Crane [6]
Dr W. G. Tuohey [10]
SCI-SYM: Centre for Scientific Computing & Complex Systems Modelling (SCI-SYM) [11]
HPC User and strategy group linked to ICHEC: Irish Centre for High-End Computing [12]
Links:
[1] http://modsci.computing.dcu.ie/publications.shtml
[2] http://modsci.computing.dcu.ie
[3] https://www.computing.dcu.ie/big/
[4] http://3dvg.computing.dcu.ie
[5] https://www.computing.dcu.ie/people/marija-bezbradica
[6] https://www.computing.dcu.ie/~mcrane/
[7] https://www.computing.dcu.ie/~mhelfert/
[8] https://www.computing.dcu.ie/people/heather-j-ruskin
[9] http://dcu.ie/info/staff_member.php?id_no=1873
[10] http://www.dcu.ie/info/staff_member.php?id_no=1921
[11] http://sci-sym.dcu.ie
[12] http://www.ichec.ie
[13] http://statepigen.sci-sym.dcu.ie/