Research Interests:

  • Uncertainty Quantification (UQ)
  • Stochastic Modelling
  • Multi-fidelity Methods
  • Bayesian Inverse Problems
  • Materials and Mechanics

I am currently developing multi-fidelity Bayesian inverse UQ algorithms for the identification of parameters in compute-intensive simulations. I am also engaged in development of methods for random material tensor fields, multi-level forward UQ, data assimilation and probabilistic machine learning.

More details on my personal webpage.

Publications


2025
Stochastic modelling of elasticity tensor fields
Shivanand, S. K.; Rosić, B.; Matthies, H. G.
2025. Mathematics and Mechanics of Solids. doi:10.1177/10812865251348030
2024
Stochastic modelling of symmetric positive definite material tensors
Shivanand, S. K.; Rosić, B.; Matthies, H. G.
2024. Journal of Computational Physics, 505, Art.Nr: 112883. doi:10.1016/j.jcp.2024.112883
2022
Collocation Methods and Beyond in Non-linear Mechanics
Fahrendorf, F.; Shivanand, S.; Rosic, B. V.; Sarfaraz, M. S.; Wu, T.; De Lorenzis, L.; Matthies, H. G.
2022. Non-standard Discretisation Methods in Solid Mechanics. Ed.: J. Schröder, 449–504, Springer International Publishing. doi:10.1007/978-3-030-92672-4_16