School of Computing, Dublin City University, Ireland

MODELLING & SCIENTIFIC COMPUTING


  
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Research:    Social Systems // Environmental and Transport // Financial and Socioeconomic Modelling // Assisted Living // Biocomputation // Data Science
  

   

About the Group

The Modelling & Scientific Computing group grew from individual staff research areas in the 1990s and was formally established in the DCU School of Computing in 2001. Main research interests include 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 approaches including top-down and agent-based, and utilises parallel and distributed computing for analysis and simulation.

The group currently consists of 5 permanent and 2 contract staff members, 1 Postdoctoral researcher/Fellow, 1 visiting Fellow, 7 research postgraduates and a number of active research associates/collaborators, conducting research in the areas indicated.

The group graduated the first PhD student in the School of Computing, and has successfully guided more than 40 research students (M.Sc. and PhD.) to completion since that time.


AFFILIATED / [COMMON GROUND] RESEARCH CENTRES:
Centre for Scientific Computing and Complex Systems Modelling (SCI-SYM) - umbrella centre
Cloud Core - platforms & technologies
[InSight] - Common interests - multi-series modelling of lifelogging data for AAL , signal (time series) analysis [National Institute for Cellular Biotechnology]; also links with School of Biotechnology - Biocomputation topics


GROUP RESOURCES:
  • Computational Linux Cluster - retired, except for student development projects
  • High-spec. desktops - (grant funded) for research student and PD projects
  • HEA Linux Cluster - funded by HEA grant to Sci-Sym/CloudCore for research and student projects ; (ceded to university use, June 2011, then 'maintained' by Information Systems & Services (ISS)).
  • Journal series: Royal Statistical Society Series A (current), B (limited set), C (limited set) ; Biometrics (limited set). Magazines regularly available/circulated to School include ERCIM News; Physics World, Significance.


  • CURRENT PROJECTS/FUNDING:
    See http://modsci.computing.dcu.ie/~msc/index.shtml
  • Complexity-Net (EU/IRC- formerly IRCSET) ERA-Net
  • CIESCI (Epigenetics Project)- under ERA-Net Complexity Science call
  • IRC PG funding
  • Internal: Res. A/C HJR, Sci-Sym SSRF
  • Nefessi: EU Tempus Project "National Education Framework for Enhancing IT Students' Innovation and Entrepreneurship" (co-ordinated by Linnaeus University, Sweden)
  • InnoStrategy: BRIDGE Programme, Austrian Research Promotion Agency (co-ordinated by University of Upper Austria)
  • Fetch: EU Lifelong Learning Future Education and Training in Computing - How to Support Learning at Anytime Anywhere (co-ordinated by Ruse University, Bulgaria)


  • EUROPEAN/INTERNATIONAL CONNECTIONS:
  • Collaborators/long-term Associates - see members list.
  • Current European Projects - see current projects list.
  • Historical Collaborations - see extension and Industrial Collaborators/Connections below.
  • The ModSci research group has also maintained active participation in national and European research associations and lobbies, e.g. the European Research Consortium for Informatics and Mathematics, providing a former Director, Executive Committee Member and two ERCIM NEWS Editors.


  • ENTERPRISE/CONSULTANCY:
    Experienced computational modellers, data analysts/statisticians. Wide range of applications' experience in physical, biomedical and socioeconomic areas. HEC expertise. Services / collaboration subject to university guidelines.

    Selected examples/Case Studies:
  • Stochastic Computational Modelling of Complex Drug Delivery Systems (M. Bezbradica PhD 2013) - Sigmoid Pharma Ltd.
  • M. Helfert and M. Curley, (2012), Design Science in Action: Researching and Developing the IT-CMF. Practical Aspects of Design Science Communications in Computer and Information Science, Springer Volume 286: 50-59, 2012 - Intel/IVI.
  • M. Meyer, M. Helfert, B. Donnellan and J. Kenneally, (2012), Applying Design Science Research for Enterprise Architecture Business Value Assessments. Design Science Research in Information Systems. Advances in Theory and Practice, Lecture Notes in Computer Science Volume 7286: 108-121, 2012 - Intel/IVI.
  • Validation of non-contact water property measurement system, (Tech. report - project number IP-2011-0088-Y), (L. Tuohey) - Water Technology, Spectral Signatures.
  • Perrin D., McMahon N., Crane M., Ruskin H.J., Crane L. and Hurley B. (2007), The Effect of a Meteorological Tower on its Top-Mounted Anemometer. Applied Energy, 84(4):413-424, April 2007 - Airtricity.
  • A Simulation Approach to Modelling: Quality and Reliability Features of Plant Processes. (T. Karagiannis M.Sc. with H.J. Ruskin, 1999 )- INTEL Ireland.
  • Reliability Analysis of Offshore Production System (J. Walsh M.Sc. with H.J. Ruskin ,1994) - Kinsale Gas.

  • Industrial Collaborators/Connections
  • Current:
  • Historical: ICP, Man. Solns., Quintiles, EOLAS, St. James, AIDS Resource Centre and others, Hitachi, Ericsson, Sigmoid Pharma Ltd., Airtricity, An Post, Water Technology & Spectral Signatures, Eircom, Deutsche Bahn, (Germany).



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    Contact: +353 1 700 6747 / modsci@computing.dcu.ie