24. M.Y. Matvee, A. Endruweit, A.C. Long, M.A. Iglesias, M.V. Tretyakov., Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data. Composites Part A, Volume 143, 2021. [online publication]

23. C. M. Tso,  M. Iglesias,  P. Wilkinson,  O. Kuras,  J. Chambers, A. Binley., Efficient multiscale imaging of subsurface resistivity with uncertainty quantification using ensemble Kalman inversion. Geophysical Journal International, Volume 225, Issue 2, 2021. [online publication]

22. M.A. Iglesias and Y. Yang, Adaptive regularisation for ensemble Kalman inversion, Inverse Problems, Volume 37, Number 2, 2021. [online publication]

21. P. Wate. P, V. Coors, M. A. Iglesias and D. Robinson, Framework for emulation and uncertainty quantification of a stochastic building performance simulator. Applied Energy. Volume 258, 2020 [online publication]

20. P. Wate. P, V. Coors, M. A. Iglesias and D. Robinson, Uncertainty Assessment of Building Performance Simulation: An insight into suitability of methods and their applications. In Urban Energy Systems for Low-Carbon Cities (pp. 257-287). Academic Press (2019). [online publication]

19. S. Ruchi, S. Dubinkina and M. A. Iglesias, Transformed-based particle filtering for elliptic Bayesian inverse problemsInverse Problems, Volume 35, Number 11, 2019. [online publication]

18. N. K., Chada, M.A. Iglesias, L. Roininen and A.M. Stuart, Parameterizations for Ensemble Kalman Inversion, Inverse Problems, Volume 34, Number 5, 2018 [online publication]

17. Iglesias, M.A., Z. Sawlan, M. Scavino, R. Tempone and C. Wood, Bayesian inferences of the thermal properties of a wall using temperature and heat flux measurements, International Journal of Heat and Mass Transfer, 116 (2018) 417-431 

16. De Simon, L., M. A. Iglesias, B. Jones, and C. Wood, Quantifying uncertainty in thermal properties of walls by means of Bayesian inversion, Energy and Buildings, Volume 177, 2018. [online publication]

15. Iglesias, M.A., Z. Sawlan, M. Scavino, R. Tempone and C. Wood, Ensemble-marginalized Kalman filter for linear time-dependent PDEs with noisy boundary conditions: Application to heat transfer in building walls, Inverse Problems, Volume 34, Number 7, 2018. [online publication]

14. Iglesias, M.A., M. Park and M. Tretyakov, Bayesian inversion in resin transfer molding, Inverse Problems, Volume 34, Nunber 10, 2018. [online publication]

13. Iglesias, M.A., K. Lin, S. Lu, A.M. Stuart, Filter based methods for statistical linear inverse problems, Communications in Math. Sciences, Volume 15, Number 7, 2017.

12. Dunlop, M.M, M. A., Iglesias and A.M. Stuart, Hierarchical Bayesian level set inversion, Statistics and Computing, (2017) 27:1555-1584. 

11. Iglesias, M.A., A regularizing iterative ensemble Kalman method for PDE-constrained inverse problems, Inverse Problems, 32 (2016) 025002

10. Iglesias, M.A., Y. Lu and A.M. Stuart, A Bayesian Level Set Method for Geometric Inverse Problems, Interfaces and Free Boundaries 18 (2016), 181-217.

9. Iglesias, M.A., Iterative regularization for ensemble data assimilation in reservoir modeling, Computational Geosciences, (2015) 19:177-212  

8. Iglesias, M.A., Lin, K. and A. M. Stuart, Well-posed Bayesian geometric inverse problems arising in subsurface flow, Inverse Problems, 30 (2014) 114001

7. Iglesias, M.A., K.J.H. Law and A.M. Stuart, Evaluation of Gaussian approximations for data assimilation in reservoir models, Computational Geosciences, (2013) 17:851-885 

6. Iglesias, M.A., K.J.H. Law and A.M. Stuart, Ensemble Kalman methods for inverse problems, Inverse Problems, 29 (2013) 045001

5. Iglesias, M.A., and C. Dawson, The regularizing Levenberg-Marquardt scheme for history matching of petroleum reservoirs, Computational Geosciences, (2013) 17:1033-1053 

4. Iglesias, M.A., and D. McLaughlin, Data inversion in coupled subsurface flow and geomechanics models, Inverse Problems, 28 (2012) 115009. 

3. Iglesias, M.A., and D. McLaughlin, Level-set techniques for facies identification in reservoir modeling, Inverse Problems, 27 (2011) 035008. 

2. Iglesias, M.A., and C. Dawson, An iterative representer-based scheme for data inversion in reservoir modeling, Inverse Problems, 25 (2009), 03500.

1. Iglesias, M.A., and C. Dawson, The representer method for state and parameter estimation in single-phase Darcy flow, Computer Methods in Applied Mechanics and Engineering, 196 (2007), 4577- 4596.