Dr Sahani Pathiraja

Dr Sahani Pathiraja

School of Mathematics & Statistics

I am a Lecturer (tenure track assistant professor) in Data Science in the school.  My broad research interests lie in the theory and application of data science methods.  One of my overarching goals is to develop stronger connections between the mathematical & statistical foundations of data science methods and their applications.  I am motivated by 1) how applications can inspire new theory and 2) how theory be developed in a more practically relevant way.

My research has primarily focused on 1) Monte Carlo methods for sequential Bayesian inference in continuous and discrete time; 2) stochastic analysis of McKean-Vlasov type non-linear filtering methods 3) methods for quantifying model uncertainty from data and 4) real-time estimation of non-stationary model parameters.  I am particularly motivated by applications in the environmental and biomedical sciences. 

For more information see my personal webpage.

+61 2 8065 0836
Room 2070, Level 2 The Red Centre UNSW Sydney 2052
  • Book Chapters | 2018
    Moradkhani H; Nearing G; Abbaszadeh P; Pathiraja S, 2018, 'Fundamentals of Data Assimilation and Theoretical Advances', in Handbook of Hydrometeorological Ensemble Forecasting, Springer Berlin Heidelberg, pp. 1 - 26, http://dx.doi.org/10.1007/978-3-642-40457-3_30-1
  • Journal articles | 2022
    Pathiraja S; Leeuwen PJ, 2022, 'Multiplicative Non‐Gaussian Model Error Estimation in Data Assimilation', Journal of Advances in Modeling Earth Systems, vol. 14, http://dx.doi.org/10.1029/2021ms002564
    Journal articles | 2021
    Pathiraja S; Reich S; Stannat W, 2021, 'MCKEAN-VLASOV SDEs IN NONLINEAR FILTERING', SIAM JOURNAL ON CONTROL AND OPTIMIZATION, vol. 59, pp. 4188 - 4215, http://dx.doi.org/10.1137/20M1355197
    Journal articles | 2021
    Gaidzik F; Pathiraja S; Saalfeld S; Stucht D; Speck O; Thévenin D; Janiga G, 2021, 'Hemodynamic Data Assimilation in a Subject-specific Circle of Willis Geometry', Clinical Neuroradiology, vol. 31, pp. 643 - 651, http://dx.doi.org/10.1007/s00062-020-00959-2
    Journal articles | 2021
    Pathiraja S; Stannat W, 2021, 'Analysis of the feedback particle filter with diffusion map based approximation of the gain', Foundations of Data Science, vol. 3, pp. 615 - 615, http://dx.doi.org/10.3934/fods.2021023
    Journal articles | 2020
    De Wiljes J; Pathiraja S; Reich S, 2020, 'Ensemble transform algorithms for nonlinear smoothing problems', SIAM Journal on Scientific Computing, vol. 42, pp. A87 - A114, http://dx.doi.org/10.1137/19M1239544
    Journal articles | 2019
    Pathiraja S; Reich S, 2019, 'Discrete gradients for computational Bayesian inference', Journal of Computational Dynamics, vol. 6, pp. 385 - 400, http://dx.doi.org/10.3934/jcd.2019019
    Journal articles | 2018
    Pathiraja S; Moradkhani H; Marshall L; Sharma A; Geenens G, 2018, 'Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation', Water Resources Research, vol. 54, pp. 1252 - 1280, http://dx.doi.org/10.1002/2018WR022627
    Journal articles | 2018
    del Moral P; Bishop A; Pathiraja S, 2018, 'Perturbations and projections of Kalman–Bucy semigroups', Stochastic Processes and their Applications, http://dx.doi.org/10.1016/j.spa.2017.10.006
    Journal articles | 2018
    Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Insights on the impact of systematic model errors on data assimilation performance in changing catchments', Advances in Water Resources, vol. 113, pp. 202 - 222, http://dx.doi.org/10.1016/j.advwatres.2017.12.006
    Journal articles | 2018
    Pathiraja S; Anghileri D; Burlando P; Sharma A; Marshall L; Moradkhani H, 2018, 'Time-varying parameter models for catchments with land use change: The importance of model structure', Hydrology and Earth System Sciences, vol. 22, pp. 2903 - 2919, http://dx.doi.org/10.5194/hess-22-2903-2018
    Journal articles | 2016
    Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Detecting non-stationary hydrologic model parameters in a paired catchment system using data assimilation', Advances in Water Resources, vol. 94, pp. 103 - 119, http://dx.doi.org/10.1016/j.advwatres.2016.04.021
    Journal articles | 2016
    Pathiraja S; Marshall L; Sharma A; Moradkhani H, 2016, 'Hydrologic modeling in dynamic catchments: A data assimilation approach', Water Resources Research, vol. 52, pp. 3350 - 3372, http://dx.doi.org/10.1002/2015WR017192
    Journal articles | 2012
    Pathiraja SD; Westra SP; Sharma A, 2012, 'Why continuous simulation? the role of antecedent moisture in design flood estimation', Water Resources Research, vol. 48, pp. Article number: W06534, http://dx.doi.org/10.1029/2011WR010997
  • Preprints | 2020
    Pathiraja S, 2020, L2 convergence of smooth approximations of Stochastic Differential Equations with unbounded coefficients, http://arxiv.org/abs/2011.13009v1
    Conference Papers | 2014
    Phillips BC; Thomson RS; Pathiraja S, 2014, 'Uncertainty in estimation of urban runoff', in Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings, pp. 796 - 803
    Conference Papers | 2012
    Thomson RS; Phillips BC; Goyen AG; Pathiraja S; Griffin M, 2012, 'How connected are Urban catchments? Estimating the effective impervious area', in Proceedings of the 34th Hydrology and Water Resources Symposium, HWRS 2012, pp. 1417 - 1424
    Conference Papers | 2012
    Thomson RSD; Phillips BC; Yu S; Kilaparty B; Fang T; Pathiraja S, 2012, 'Is smaller really better? 2D grid cell size and perceived accuracy', in Proceedings of the 34th Hydrology and Water Resources Symposium, HWRS 2012, pp. 1317 - 1324