Summary
My research interests include finite difference, finite element and variational methods, nonlinear partial differential equations, global optimization problems, MC and QMC methods, advanced Global Senstivity Analysis techniques and stochastic differential equations.
Publications
Journals
Song S, Bai Z, Kucherenko S, et al., 2021, Quantile sensitivity measures based on subset simulation importance sampling, Reliability Engineering & System Safety, Vol:208, ISSN:0951-8320, Pages:1-13
Razavi S, Jakeman A, Saltelli A, et al., 2021, The future of sensitivity analysis: An essential discipline for systems modeling and policy support, Environmental Modelling & Software, Vol:137, ISSN:1364-8152, Pages:1-22
Kucherenko S, Giamalakis D, Shah N, et al., 2020, Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling, Computers & Chemical Engineering, Vol:132, ISSN:0098-1354, Pages:1-9
Song S, Zhou T, Wang L, et al., 2019, Derivative-based new upper bound of Sobol' sensitivity measure, Reliability Engineering and System Safety, Vol:187, ISSN:0951-8320, Pages:142-148
Conference
Spiessl SM, Kucherenko S, Becker D-A, et al., 2019, Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach, 8th International Conference on Sensitivity Analysis of Model Output (SAMO), ELSEVIER SCI LTD, Pages:149-158, ISSN:0951-8320