Dr Greg Doyle

BSc, MSc, PhD MEngSc
BEng in Mechanical Engineering from University of Limerick

  • Lecturer in Computing
  • GameCORE Researcher
  • Principal Investigator EU funded AAL Join-In Project
  • Research Programme Director, Computing and Networking Department
  • Research Interests
  • Publications
  • Research Supervision

Currently Principal Investigator on EU AAL funded Join-In Project. The Join-In project addresses the issues of social isolation, as well as cognitive and physical decline in elderly citizens using serious computer gaming and exergaming. This includes the supervision of two M.Sc. research students in conjunction with Ross Palmer and Dr Daire O’Broin of IT Carlow.

See http://join-in-for-all.eu for more information with regard to this project.

Research Interests - Including but not limited to the following:

  • Computer Games Development
  • Ambient Assisted Living
  • Data mining
  • Software Engineering

Supervision of M.Sc. and Ph.D. level research on the construction and validation of a numerical tensiotrace simulation model and the investigation of a modelling platform for the fingerprinting of wine.  This work was completed in conjunction with Dr Norman McMillan, Senior Lecturer (emeritus), Institute of Technology and Prof. Stephen A Smith, University of Essex (emeritus). This project was undertaken with TSR Strand 1 Funding and IRCSET Embark Initiative Funding.

Doctoral research into novel data mining algorithms for UV-visible spectroscopy, Raman spectroscopy, tensiography and telecommunications is ongoing under the supervision of Dr Norman McMillan, Senior Lecturer, Institute of Technology Carlow and Professor Fionn Murtagh, Head of Dept of Computer Science., Royal Holloway University London and Director Information, Communications & Emergent Technologies Directorate, Science Foundation Ireland.

Publications

Computer Science

1. New Statistical and Data Mining Approaches to the Analysis of Tensiographic and Other Multivariate Sensor Data, Greg Doyle, PhD Thesis, HETAC 2010.

2. Quantitative drop spectroscopy using the drop analyser: theoretical and experimental approach for microvolume applications of non-turbid solutions N D McMillan, S R P Smith, A C Bertho, D Morrin, M O'Neill, K Tiernan, J Hammond, N Barnett, G. Doyle, P Pringuet, E O'Mongain, B O'Rourke, S Riedel, M Neill, A Augousti, N Wüstneck, R Wüstneck, D D G McMillan, F Colin, P Hennerbert, G Pottecher and D Kennedy, Measurement Science and Technology, Vol. 19, No. 5, March 2008.

3. Phase Coherence Theory for Data Mining and Analysis: Application to Raman Spectroscopy, G. Doyle, N.D. McMillan, F. Murtagh, M. O’Neill, S. Riedel, T.S. Perova, S. Unnikrishnan, and R.A. Moore.  Proceedings Opto-Ireland Symposium 2005, Computer Imaging and Vision Conference, SPIE.

4. Generalised Theory of Data Scatter, G. Doyle, N.D. McMillan, F. Murtagh, M. O’Neill, S. Riedel. Proceedings Opto-Ireland Symposium 2005, Computer Imaging and Vision Conference, SPIE.

5. A Flexible Data Mining Toolkit for UV-Visible Spectrophotometry, Tensiography and Signal Matching, N.D. McMillan, G. Doyle, S.M. Riedel, B. O’Rourke, J. Hammond, F. Murtagh, M. Kökűer, N. Whyte, A. O’Neill, D.G.E. McMillan, K. Beverley, A. Augousti, J. Mason, H. S. Bertelsen, S. Asbjørnsen, In Press, Chemometrics and Intelligent Laboratory Systems (Amsterdam: Elsevier).

6. Application of Characteristic Vector Analysis to Multianalyser Tensiography for the Study of Aqueous-Ethanol Solutions and French Wine Solutions, Martina M. O’Neill, Norman D. McMillan, Greg Doyle, Philippe Pringuet, Eon O’Mongain, Opto-Ireland 2005: Photonic Engineering, edited by B. W. Bowe, G. Byrne, A. J. Flanagan, T. J. Glynn, J. Magee, G. M.O’Connor, R. F. O’Dowd, G. D. O’Sullivan, J. T. Sheridan, Proc. of SPIE Vol. 5827 (SPIE, Bellingham, WA, 2005), p244-254..

Spectroscopy

1. A new democratic phase coherent data-scatter technique for calibration, measurement, fingerprinting and rapid archival identification of ultraviolet-visible multi-component food spectra, N.D. McMillan, B. O’Rourke, S.M. Riedel, D.O. Skelly, M. O’Neill, A.E. O’Neill, D. Boller, A.C. Bertho, G. Doyle, J. Hammond and A.T. O’Neill, Analytica Chimica Acta, October 2003

2. Phase coherent data-scatter methods for data mining in UV-visible spectrophotometry, tensiography and signal optimisation applications: The object-oriented development of a flexible data-mining toolkit for analytical chemistry, N.D. McMillan, S. Riedel, B. O’Rourke, J. Hammond, G. Doyle, F. Murtagh, M. Kokuer, N. Whyte, A. O’Neill, D.G.E. McMillan, K. Beverley, A. Augousti, J. Mason, H. S. Bertelsen, S. Asbjørnsen, In Press, Chemometrics and Intelligent Laboratory Systems.

3. Investigation of correlation between characteristics of Raman spectra and parameters of data-scattering obtained from phase coherent theory, R.A. Moore, S. Unnikrishnan, T.S. Perova, N.D. McMillan, M. O’Neill and G. Doyle, Proceedings of the, Irish Microscopical Society, Cork, October 2003.

Optical Engineering, Optoelectronics and Fabrication

1. Design from Chaos – Applying Data Entropy Methods for Complex System Design, K. Tiernan, S.M. Riedel, N.D. McMillan, D. Kennedy, A. Augousti, J. Mason and G. Doyle, Proceedings of Opto-Ireland (2002).

2. Theoretical Enquiry into the Use of Data Entropy Methods for Optoelectronic-Fiber System-Digital Design, N.D. McMillan, D. Denieffe, S. Riedel, K. Tiernan, D.G.E. McMillan, G. Farrell, D. Kennedy, J. Egan, G. Doyle, A. Augousti and J. Mason, IT and T Conference Proceedings, Letterkenny, October 2003.

3. A feasibility study into differential tensiography for water pollution studies with some important monitoring proposals, A.C. Bertho, D.D.G. McMillan, N.D McMillan, B. O’Rourke, G. Doyle, D. Morrin, M. O’Neill and M. Neill, Sensors and their Applications XII (IOPP, Boston and Philadelphia, 2003), 291-296. (Water measurement/Tensiography-Appendix 1.4)

Research Supervision

Supervision of a range of MSc in computing and MA in Interactive Multimedia project dissertations

  • M.Sc. research in computer applications at Dublin City University in 1996 researching migration to object-oriented software development methodologies (such as the Object Modelling Technique) from traditional structured software development methodologies (such as the Structured Systems Analysis and Design Method) with the preservation of infrastructure and investment in existing methodologies.