Uncertainty quantification: Efficient uncertainty quantification methods. In particular, for systems with correlated inputs and high-dimensional probability spaces.
Sensitivity analysis: Development of numerical methods to analyze the global sensitivity of the parameters.
Optimal experimental design to reduce the variance.
Selected Publications
A. Torres Valderrama, J. Witteveen, M. Navarro, J. Blom, Uncertainty Propagation in Nerve Impulses Through the Action Potential Mechanism, The Journal of Mathematical Neuroscience, 5(3), 2015.
A. Moreo, M. Navarro, J.L. Castro, J.M. Zurita, A high-performance FAQ retrieval method using minimal differentiator expressions, Knowledge-based System, 36, 9-20, 2012.
J. L. Castro, M. Navarro, J. M. Sánchez, J. M. Zurita, Loss and gain functions for CBR retrieval, Information Sciences, 179(11): 1738-1750, 2009.
Education
Phd in Mathematics , University of Granada, Spain, 2011.
Master in Soft computing and Artificial Intelligence, University of Granada, Spain, 2006.
Degree in Mathematics, University of Granada, Spain, 2004.