Dr Ru Nicholson


Research | Current

Modelling, PDEs, ODE's, Inverse Problems, Uncertainty Quantification, Control, Linear Algebra (including randomised), Optimisation, Optimal Experimental Design (OED), Optimisation Under Uncertainty (OUU). Markove chain Monte Carlo (MCMC) methods. Applications include (but are not limited to):

Geothermal modelling and calibration

Ice sheet dynamics

Non-destructive testing (NDT) and corrosion detection

Scattering and cloaking

Mathematical biology

+ various imaging modalities




Teaching | Current

Engineering Science 314

Selected publications and creative works (Research Outputs)

As of 29 October 2020 there will be no automatic updating of 'selected publications and creative works' from Research Outputs. Please continue to keep your Research Outputs profile up to date.
  • Nicholson, R., Petra, N., & Kaipio, J. P. (2018). Estimation of the Robin coefficient field in a Poisson problem with uncertain conductivity field. Inverse Problems, 34 (11)10.1088/1361-6420/aad91e
    Other University of Auckland co-authors: Jari Kaipio
  • Taylor, S. W., Nicholson, R., & Baeumer, B. (2016). Calibration Transform for Discrete Spectroscopic, Mechanical and Optical Systems. In G. Wake, A. Roberts (Eds.) ANZIAM Journal: Proceedings of the Mathematics for Industry NZ Study Group 2015, 57 (March 2016). Auckland. Related URL.
    URL: http://hdl.handle.net/2292/29496
    Other University of Auckland co-authors: Stephen Taylor
  • Nicholson, R. V. (2016). Approaches to Multiscale Inverse Problems The University of Auckland. ResearchSpace@Auckland.
  • Baeumer, B., Nicholson, R., & Taylor, S. W. (2015). A calibration transform for families of spectroscopes. , 57 CAMBRIDGE UNIV PRESS.10.21914/anziamj.v57i0.11238
  • Sneddon, J. D., & Nicholson, R. (2011). New Graphs with Thinly Spread Positive Combinatorial Curvature. New Zealand Journal of Mathematics, 41, 39-43. Related URL.
    URL: http://hdl.handle.net/2292/12054

Contact details

Primary office location

Level 2, Room 229
New Zealand