Dr Nadarajah Ramesh BSc (Hons), DPhil, FRSS, SFHEA

Associate Professor in Statistics

Nadarajah Ramesh is an Associate Professor in the School of Computing and Mathematical Sciences. He studied and worked at Imperial College London and University of Oxford, as a researcher and consulting officer, before joining Greenwich. His teaching has covered a wide range of areas in Statistics, Probability, Actuarial Mathematics and Computer programming.

Dr Ramesh's research work has been centred around the area of stochastic modelling with likelihood approach for environmental applications, particularly in hydrology and health informatics. He collaborates with researchers at Imperial College London on the topic of stochastic point process models with environmental application, especially on rainfall modelling as well as the application of extremes and other stochastic models in this area.

Responsibilities within the university

Course leader 2020/21

  • BSc (Hons) Mathematics
  • BSc (Hons) Financial Mathematics
  • BSc (Hons) Statistics and Data Analytics
  • BSc (Hons) Mathematics and Computing 
  • BSc (Hons) Mathematics with Economics 
  • BSc (Hons) Mathematics with Business

Module leader 2020/21

  • Actuarial Mathematics and Risk Modelling 
  • Statistical Data Analysis and Time Series 
  • Statistical Models
  • Mathematics Sandwich Placement
  • Mathematics Professional Practice


External Examiner: 

  • University of Brighton (2014-2018)


  • Fellow of the Royal Statistical Society (FRSS)
  • Senior Fellow of the Higher Education Academy (SFHEA)

Reviewer for: 

  • Hydrological Sciences Journal
  • Journal of Hydrology
  • Stochastic Environmental Research and Risk Assessment
  • Hydrology and Earth System Sciences

Research / Scholarly interests

Dr Ramesh’s recent research work has a focus on developing stochastic point process models for fine-scale rainfall.  Another area of development in his stochastic modelling work is to provide additional dependencies in Hidden Markov models and explore their application in the modelling of regional rainfall and flood studies. His other area of research interest is on time series analysis and forecasting.  He has also been interested in developing stochastic models with applications in biostatistics and health informatics, especially on predictive modelling in health sciences.

In addition, he continues with his pedagogical research on teaching and learning to contribute to the advancement of technology enhanced learning in Mathematical Sciences.

Key funded projects

Principal investigator of a Teaching Development Grant (TDG) from the Higher Education Academy (HEA) for the project "Enhancing Employability Skills through Advanced Skills Workshops and greater engagement with Professional Bodies and Industries". Funded £30,000 by HEA for the £60,000 project on match funding basis.

Co-investigator of a KTP project on "Predictive analysis of pressure in health economies" funded by Innovate UK (Project Total £213,000).

Recent publications


Duarte, Diego , Walshaw, Christopher, Ramesh, Nadarajah (2021), A comparison of time-series predictions for healthcare emergency department indicators and the impact of COVID-19. MDPI. In: , , , . MDPI, Applied Sciences, 11: 3561 (8) . pp. 1-17 2076-3417 (Online) (doi: https://doi.org/10.3390/app11083561).

Arif, Serife , Lai, Choi-Hong, Ramesh, Nadarajah I. (2019), Estimation of stochastic behaviour in cardiac myocytes: I. Calcium Ca2+ movements inside the cytosol and sarcoplasmic reticulum on curvilinear domains. SAGE Publications. In: , , , . SAGE Publications, JRSM Cardiovascular Disease, 8 ISSN: 2048-0040 (Print), 2048-0040 (Online) (doi: https://doi.org/10.1177/2048004018822428).

Garthwaite, Andrew P. and , Ramesh, N. I. (2018), Parsimonious modelling of winter season rainfall incorporating reanalysis climatological data. IWA Publishing. In: , , , . IWA Publishing, Hydrology Research, 49 (6) . pp. 2030-2045 ISSN: 0029-1277 (Print), (doi: https://doi.org/10.2166/nh.2018.012).

Ramesh, N. I. , Garthwaite, A, Onof, C. (2017), A doubly stochastic rainfall model with exponentially decaying pulses. Springer Berlin Heidelberg. In: , , , . Springer Berlin Heidelberg, Stochastic Environmental Research and Risk Assessment, 32 (6) . pp. 1645-1664 ISSN: 1436-3240 (Print), 1436-3259 (Online) (doi: https://doi.org/10.1007/s00477-017-1483-z).

Thayakaran, R. and , Ramesh, N.I. (2016), Doubly stochastic Poisson pulse model for fine-scale rainfall. Springer Berlin Heidelberg. In: , , , . Springer Berlin Heidelberg, Stochastic Environmental Research and Risk Assessment, 31 (3) . pp. 705-724 ISSN: 1436-3240 (Print), 1436-3259 (Online) (doi: https://doi.org/10.1007/s00477-016-1270-2).

Ramesh, N.I. and , Onof, C. (2014), A class of hidden Markov models for regional average rainfall. Taylor & Francis. In: , , , . Taylor & Francis, Hydrological Sciences Journal, 59 (9) . pp. 1704-1717 ISSN: 0262-6667 (Print), 2150-3435 (Online) (doi: https://doi.org/10.1080/02626667.2014.881484) NB Item availability restricted.

Thayakaran, R. and , Ramesh, N.I. (2013), Markov modulated Poisson process models incorporating covariates for rainfall intensity. IWA Publishing. In: , , , . IWA Publishing, Water Science & Technology, 67 (8) . pp. 1786-1792 ISSN: 0273-1223 (Print), (doi: http://dx.doi.org/doi:10.2166/wst.2013.056).

Thayakaran, R. and , Ramesh, N.I. (2013), Multivariate models for rainfall based on Markov modulated Poisson processes. IWA Publishing. In: , , , . IWA Publishing, Hydrology Research, 44 (4) . pp. 631-643 ISSN: 0029-1277 (Print), 2224-7955 (Online) (doi: http://dx.doi.org/10.2166/nh.2013.180).

Conference item

Ramesh, Nadarajah and , Garthwaite, Andrew (2017), Some stochastic models for seasonal rainfall at fine time-scales. In: 39th Conference on Stochastic Processes and their Applications, July 24 - 28, 2017, Moscow, Russia , . , (doi: http://www.spa2017.org/).

Ramesh, Nadarajah and , Garthwaite, Andrew (2016), Modelling seasonal rainfall at fine time-scales using doubly stochastic Poisson processes. In: 28th International Biometric Conference 2016, July 10-15, 2016, Victoria, British Columbia, Canada , . , (doi: http://www.biometricsociety.org/wp-content/uploads/2014/07/IBC-Flyer-2016.pdf).

Ramesh, Nadarajah and , (2015), Some hidden Markov models with additional dependence. In: European Meeting of Statisticians (EMS) 2015, July 6, 2015 - July 10, 2015, VU University Amsterdam, Netherlands , . , (doi: http://www.math.vu.nl/en/news-agenda/news-archive/2015/jul-sep/european-meeting-of-statisticians.aspx).

Ramesh, N.I. and , Thayakran, R. (2014), A class of multi-site point process models for sub-hourly rainfall. In: 27th International Biometric Conference, 6-11 July 2014, Florence , . , (doi: ).

Ramesh, N.I. , Onof, C., Thayakaran, R. (2014), Models for fine-scale precipitation relevant to urban catchment applications. In: European Geosciences Union (EGU) General Assembly, 27 April – 2 May 2014, Vienna, Austria , . , (doi: ).

Ramesh, Nadarajah and , (2013), Modelling multi-site rainfall time series using stochastic point process models. In: 29th European Meeting of Statisticians 2013, 20-25 July, 2013, Budapest, Hungary. , . , (doi: http://www.mstnet.hu/cikkek/_doku/Oszod_121115-16_Markus_L_2.pdf).

Conference proceedings

Ramesh, Nadarajah , Mann, Tony, Parrot, Kevin (2014), Extracurricular activities to enhance the employment outcomes of Mathematics graduates. The Higher Education Academy. In: , , , HEA STEM Annual Learning and Teaching Conference: Enhancing the STEM Student Journe. The Higher Education Academy, Edinburgh (doi: ).