Overview

Hossein is currently a Lecturer in Statistics and Data Science at the University of Exeter. Prior to that, he was a Postdoctoral Research Fellow (two posts) in the Mathematics Department of University of Exeter. He also did a PhD in Applied Mathematics at the Ecole des Mines de Saint Etienne, France. His research is mainly focused on the development of methods for quantifying uncertainty in computationally expensive computer models. This includes Gaussian process modelling, adaptive design of computer experiments, Bayesian oprimisation, uncertainty and sensitivity analysis. 

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Publications

_{Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.}

| 2024 | 2023 | 2022 | 2019 | 2016 | 2015 | 2013 | 2012 |

2024

• Mohammadi H, Challenor P, Goodfellow M. (2024) Emulating complex dynamical simulators with random Fourier features.

2023

• Kimpton L, Salter J, Dodwell T, Mohammadi H, Challenor P. (2023) Cross-Validation Based Adaptive Sampling for Multi-Level Gaussian Process Models. [PDF]

2022

• Mohammadi H, Challenor P. (2022) Sequential adaptive design for emulating costly computer codes. [PDF]
• Mohammadi H, Challenor P, Prieur C. (2022) Variance-based global sensitivity analysis of numerical models using R. [PDF]

2019

• Mohammadi H, Challenor P, Goodfellow M, Williamson D. (2019) Emulating computer models with step-discontinuous outputs using Gaussian processes. [PDF]
• Williams CA, Wedgwood KCA, Mohammadi H, Prouse K, Tomlinson OW, Tsaneva-Atanasova K. (2019) Cardiopulmonary responses to maximal aerobic exercise in patients with cystic fibrosis, PLoS ONE, volume 14, article no. 2, DOI:10.1371/journal.pone.0211219.
• Mohammadi H, Challenor P, Goodfellow M. (2019) Emulating dynamic non-linear simulators using Gaussian processes, Computational Statistics and Data Analysis, volume 139, pages 178-196, DOI:10.1016/j.csda.2019.05.006.

2016

• Mohammadi H, Le Riche R, Touboul E. (2016) A detailed analysis of kernel parameters in Gaussian process-based optimization.
• Mohammadi H, Le Riche R. (2016) Small ensemble of kriging models for optimization.
• Mohammadi H, Le Riche R, Durrande N, Touboul E, Bay X. (2016) An analytic comparison of regularization methods for Gaussian processes.
• Mohammadi H. (2016) Kriging-based black-box global optimization: analysis and new algorithms.
• Mohammadi H, Le Riche R, Bay X, Touboul E. (2016) An analysis of covariance parameters in Gaussian process-based optimization, 16th International Conference on Operational Research, KOI, Osijek, Croatia, 18th - 20th Sep 2016.

2015

• Mohammadi H, Le Riche R, Touboul E. (2015) Making EGO and CMA-ES complementary for global optimization, Lecture Notes in Computer Science, DOI:10.1007/978-3-319-19084-6_29.

2013

• SEIFI A, KAZEMZADEH MB, MOHAMMADI H. (2013) Prediction of accumulated outflow from a fractured hydrocarbon reservoir using metamodeling, Petroleum Exploration and Development, volume 40, no. 2, pages 230-235, DOI:10.1016/S1876-3804(13)60027-0.

2012

• Mohammadi H, Seifi A, Foroud T. (2012) A robust Kriging model for predicting accumulative outflow from a mature reservoir considering a new horizontal well, Journal of Petroleum Science and Engineering, volume 82-83, pages 113-119, DOI:10.1016/j.petrol.2012.01.004. [PDF]

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