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Dr Dimitra Salmanidou

PositionSenior Research Fellow
Phone (external)+44 (0)20 3108 3227
Phone (internal)53227
Email(*)d.salmanidou.12
ThemesComputational Statistics

* @ucl.ac.uk

Biographical Details

Dimitra is a Senior Research Fellow in the Statistical Science Department and a visiting researcher at the Alan Turing Institute, affiliated to the data-centric engineering programme. She is also the Chair of the Working Group on dissemination and stakeholder interaction under the framework of the EU network AGITHAR (Accelerating Global science In Tsunami HAzard and Risk analysis). 

Dimitra has been working as a postdoctoral researcher at UCL since 2017, after obtaining her PhD in Applied and Computational Mathematics (University College Dublin, Ireland). She is currently a Co-I in the project "Future Indonesian Tsunamis: Towards End-to-end Risk quantification (FITTER)" where she leads the Work Package: “Bathymetry and Source Parameterisations”.

Dimitra’s research focuses on earthquake and landslide induced tsunami hazard through high-resolution numerical modelling and implementation of state-of-the-art methods for uncertainty quantification (UQ), such as Gaussian Process Emulation, Bayesian inference and adaptive experimental design. She also works on tsunami evacuation case studies with the aid of agent-based models (ABMs).

Research Interests

tsunami modelling, uncertainty quantification, sensitivity analysis, Bayesian calibration, statistical emulation

Selected publications

  • Salmanidou D.M., Ehara A., Himaz R., Heidarzadeh M., Guillas S. (2021). Impact of future tsunamis from the Java trench on household welfare: merging geophysics and economics through catastrophe modelling, Interna-tional Journal of Disaster Risk Reduction, 61: 102291,  https://doi.org/10.1016/j.ijdrr.2021.102291
  • Salmanidou D.M., Beck J., Pazak P., Guillas S. (2021). Probabilistic , high-resolution tsunami predictions in North Cascadia, by exploiting sequential design for efficient emulation. Natural Hazard and Earth System Sciences, https://doi.org/10.5194/nhess-2021-63 
  • Salmanidou D.M., Heidarzadeh M., Guillas S. (2019). Probabilistic landslide-generated tsunamis in the Indus Canyon, NW, Indian Ocean, using statistical emulation. Pure and Applied Geophysics, https://doi.org/10.1007/s00024-019-02187-3
  • Salmanidou D.M., Georgiopoulou A., Guillas S., Dias F. (2018). Rheological considerations for the modelling of submarine sliding at the Rockall Bank, NE Atlantic Ocean, Physics of Fluids, 30: 030705, https://doi.org/10.1063/1.5009552
  • Salmanidou D.M., Guillas S., Georgiopoulou A., Dias F. (2017). Statistical emulation of landslide induced tsunamis at the Rockall Bank, NE Atlantic Ocean. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 473: 20170026, https://doi.org/10.1098/rspa.2017.0026