Faculty of Health and Wellbeing
Brook Building, BB418
+44 (0) 1772 89 3771
Thaya joined the University of Central Lancashire in April 2016 as a Lecturer in Health Statistics. He has gained a PhD in Statistics from the University of Greenwich in 2014 and prior to that an MSc from the University of Reading in 2010. Thaya joined Newcastle University in July 2014 as a Research Associate in community networking.
His research interests are primarily in the area of Statistics with particular focusses on stochastic models of rainfall, community detection using graphs with a focus on Social Media applications and Statistics for healthcare research.
PhD in Statistics, University of Greenwich, UK, 2014
MSc in Biometry, University of Reading, UK, 2010
BSc in Statistics, University of Jaffna, SL, 2002
A simple Pulse Model for fine scale Rainfall based on a two state Markov Modulated Poisson Process at the Young Statisticians' Meeting (YSM2013, 4 -5, July, 2013), Imperial College, London, UK.
The Markov Modulated Poisson Process Models for Rainfall with Covariate Information at the 13th International conference on Econometrics, Operations Research and Statistics (24 – 26, May, 2012), Northern Cyprus.
A Multivariate Markov Modulated Poisson Process for Rainfall intensity at the
International conference (Applied Statistics, 25 -28, September, 2011), Slovenia.
Social Network Analysis for Geo-located Social Media Data at the Young Statisticians' Meeting (YSM2016, 17 -19, August, 2016), University College London (UCL), UK
Biomedical Sciences - BL4200
Statistics for Health – NU4091
Statistics for MBBS degree (Year 1) - UM1020
Statistics for MBBS degree (Year 2) - UM2020
Thayakaran, R., and N. I. Ramesh. "Doubly stochastic Poisson pulse model for fine-scale rainfall." Stochastic Environmental Research and Risk Assessment (2016): 1-20
R. Thayakaran and N. I. Ramesh, 2012, Multivariate models for rainfall based on Markov modulated Poisson processes, Hydrology Research In Press, doi:10.2166/nh.2012.180.
N. I. Ramesh, R. Thayakaran, C. Onof, 2012, Multi-site doubly stochastic Poisson process models for fine-scale rainfall, Stochastic Environmental Research and Risk Assessment (2012): 1-14.
R. Thayakaran and N. I. Ramesh, 2013, Markov modulated Poisson process models incorporating covariates for rainfall intensity, Water Science & Technology 67.8 (2013): 1786-1792.
R. Thayakaran and N. I. Ramesh, 2012, The Markov Modulated Poisson Process Models for Rainfall with Covariate Information, 13th International Conference on Econometrics, Operations Research and Statistics, ICEOS-2012, Famagusta – Northern Cyprus.
N. I. Ramesh and R. Thayakaran, 2012, Stochastic point process model for fine-scale rainfall time series, Proceedings, 2nd Stochastic Modeling Techniques and Data Analysis International Conference 5 - 8 June 2012 Chania Crete Greece.
The Royal Statistical Society