Dr. Martin Crane

I received my B.A. B.A.I. (Mech. Eng.) degrees from Trinity College Dublin in 1989 and my Ph.D. from the same institution in 1993. Since then I have worked in a variety of fields of Computational Science such as Computational Fluid and Solid Mechanics, Combustion Modelling, Financial Data Analysis and, more recently, Systems Biology.  I have been at the School of Computing, Dublin City University as a Lecturer since 1999 and a Senior Lecturer since October 2007. 

Currently, I am

Grouping: 
Academic Lecturing
Office: 
L2.51
Phone Number: 
+353-1-7008974
Email Address: 

Research Group: 
Modelling and Scientific Computing
Associated Research Centres: 
Scientific Computing and Complex Systems Modelling (Sci-Sym)
Research Interests: 

My areas of Research include Time Series Analysis, Econophysics, Bioinformatics, Computational Fluid Mechanics and Parallel Computing.  Please feel free to  email me should you be interested in doing Research in these areas.

Selected Publications: 

 

Microarray Data Analysis

  • Marbach, D., Costello, J., Küffner, R., Vega, N., Prill, R., Camacho, D., Allison, K., Aderhold, A, Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foyge, R., de la Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A-C, Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V., Irrthum, A., Karlebach, G., Lèbre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C., Rezny, S., Ruskin, H.J., Saeys, Y., Shamir, R., Sîrbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N., Vera-Licona, P., Vert, J.-P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., Zimmer, R., Kellis, M., Collins, J.J., Stolovitzky, G.,Wisdom of crowds for robust gene network inference, Nature Methods, Vol 9(8), 2012, doi:10.1038/nmeth.2016
  • Sirbu, A., Ruskin, H.J., Crane, M., Integrating Heterogeneous Gene Expression Data for Gene Regulatory Network Modelling. Theory In Biosciences, Vol 9, pp1-8, 2011, doi:10.1007/s12064-011-0133-0
  • Sîrbu, A., Ruskin, H.J., Crane, M.,Cross-Platform Microarray Data Normalisation for Regulatory Network Inference, in Public Library of Science One PLoS ONE 5(11): e13822. doi:10.1371/journal.pone.0013822, 2010
  • Sîrbu, A., Ruskin, H.J., Crane, M., Regulatory Network Modelling: Correlation for Structure and Parameter Optimisation, in M.A. Karim, K. Lee, H. Ling, D. Maroudas, T.M. Sobh (Eds.) Proceedings of IASTED International Conference on Computational Bioscience (CompBio 2010), Cambridge, Massachusetts, USA November 1 – 3, 2010, ISBN 978-0-88986-850-2
  • Sîrbu, A., Ruskin, H.J. and Crane, M., Comparison of evolutionary algorithms in gene regulatory network model inferenceBMC Bioinformatics, 2010, 11:59 pp 1471-2205

In-Silico Drug Dissolution

  • Bezbradica, M., Ruskin, H.J. and Crane, M.,Modelling drug coatings: A parallel cellular automata model of ethylcellulose-coated microspheres, International Proceedings Of Chemical, Biological And Environmental Engineering,5,pp419-424, 2011
  • Bezbradica, M., Ruskin, H.J., and Crane, M., Probabilistic Modelling of Drug Dissolution, ERCIM News No. 84, pp 42-43, January, 2010
  • McMahon, N.M., Crane, L.J., Ruskin, H.J., Crane, M., D’Arcy, D.M., Healy, A.-M., Corrigan, O., A Numerical Model of a Drug Particle Dissolving in a Dissolution Test Apparatus, in Proceedings in Applied Mathematics and Mechanics, 15 April 2009
  • Barat A., Crane M., Ruskin H.J., Quantitative multi-agent models for simulating protein release from PLGA bioerodible nano- and microspheresJournal of Pharmaceutical and Biomedical Analysis, Vol 48(2), pp361-368, Elsevier, 2008
  • Barat A., Ruskin H.J., Crane M., 3D Multi-Agent Models for Protein Release from PLGA Spherical Particles with Complex Inner MorphologiesTheory in Biosciences, Vol 127(2), pp95-105, Springer Verlag, 2008 

Econophysics

  • Daly, J., Ruskin, H.J., Crane, M., Can random matrix filters be used for trading in the foreign exchange market? - A comparison of foreign exchange and stock portfolio filtering, Vol 2(2), Journal of Dynamics of Socioeconomic Systems, ISSN 1852-379X, 2011
  • Matos, J.-A., Gama, S., Ruskin, H.J., Sharkasi, Crane, M., A Study of Correlation and Entropy for Multiple Time Series, in Machado, J.A.T.; Luo, A.C.J.; Barbosa, R.S.; Silva, M.F.; Figueiredo, L.B. (Eds.), Nonlinear Science and Complexity, Springer 2011, ISBN: 978-90-481-9883-2
  • Daly, J., Ruskin, H.J., Crane, M., Random matrix theory filters and currency portfolio optimization, Journal of Physics: Conference Series 221 012003, 2010
  • Conlon, T., Ruskin, H.J., Crane, M., Multi-scaled Cross-correlation dynamics in financial time series, Advances in Complex Systems, Vol. 12, Nos. 4 & 5 (2009) 439–454, World Scientific Publishing Company
  • Conlon, T., Ruskin, H.J., Crane, M., Cross-correlation dynamics in financial time series, Physica A: Statistical and Theoretical Physics, Vol 388/5 pp705-714, Elsevier 2009
  • Conlon, T., Crane, M., Ruskin, H.J., Wavelet Multiscale Analysis for Hedge Funds: Scaling and Strategies, Physica A: Statistical and Theoretical Physics, Vol 387/21, pp5197-5204, Elsevier 2008
  • Daly, J., Crane, M., Ruskin, H.J., Random Matrix Theory Filters in Portfolio Optimization: A Stability and Risk Assessment, Vol 387/16-17, pp4248-4260, Physica A: Statistical and Theoretical Physics, Elsevier, 2008 
  • Matos, J.-A., Gama, S., Ruskin, H.J., Sharkasi, Crane, M., Time and scale Hurst exponent analysis for financial markets, Vol 387/15, pp3910-3915, Physica A: Statistical and Theoretical Physics, Elsevier, 2008
  • Conlon, T., Ruskin, H.J., Crane, M., Random Matrix Theory and Fund of Funds Portfolio Optimization, Physica A: Statistical and Theoretical Physics, Vol 382/2 pp 565-576, Elsevier 2007