Sharana Shivanand

Dr. Sharana Kumar Shivanand

Postdoctoral Researcher

Karlsruhe Institute of Technology, Germany

About me

Hi, I am Sharana!

I am a Postdoctoral Researcher in the Uncertainty Quantification (UQ) group at the Karlsruhe Institute of Technology (KIT), led by Prof. Sebastian Krumscheid. Previously, I was a Postdoctoral Research Associate at The Alan Turing Institute, the UK's national institute for Data Science and AI, where I conducted research with the advisory of Prof. Adam Sobey, director of the Data-Centric Engineering programme. During this time, I was also a Visiting Research Fellow in the Department of Engineering at the University of Cambridge.

I received my Ph.D. from the Technical University of Braunschweig, where I was advised by Prof. Hermann Matthies. I also obtained my M.Sc. in Computational Sciences in Engineering from the same institution.

Please click here to view my CV (last updated Aug 2025).

Email: sharana.shivanand@kit.edu

Research Interests

My interests lie in developing statistical and probabilistic techniques for physics and data-driven numerical predictions. My research is at the intersection of uncertainty quantification (UQ), computational physics, and machine learning, to address challenges in computational materials science, mechanics, and related areas of science and engineering.

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.

Publications

S. Shivanand, B. Rosić and H. G. Matthies. Stochastic modelling of elasticity tensor fields. Mathematics and Mechanics of Solids, 2025.
S. Shivanand and B. Rosić. Scale-invariant Monte Carlo and multilevel Monte Carlo estimation of mean and variance: An application to simulation of linear elastic bone tissue. (under review) Computers & Structures, 2025.
S. Shivanand. Covariance estimation using h-statistics in Monte Carlo and multilevel Monte Carlo methods. International Journal for Uncertainty Quantification, 2025.
S. Shivanand, B. Rosić and H. G. Matthies. Stochastic modelling of symmetric positive-definite material tensors. Journal of Computational Physics, 2024.
S. Shivanand and Data Study Group Team. Data Driven Modelling of Chemical Processes: Towards Flexible Production of Energy Carriers for a Net-Zero Society,. Technical Report, The Alan Turing Institute, 2024.
S. Shivanand. Stochastic material modelling and multi-fidelity uncertainty quantification of macroscopic bone tissue. PhD thesis, 2022.
F. Fahrendorf, S. Shivanand, B. Rosić, M. S. Sarfaraz, T. Wu, L. De Lorenzis, and H. G. Matthies. Collocation methods and beyond in non-linear mechanics, Lecture Notes in Applied and Computational Mechanics, 2022.
B. Rosić, S. Shivanand, T. Hoang and H. G. Matthies. Iterative spectral identification of bone macroscopic properties described by a probability box. Proc. Appl. Math. Mech., 18: e201800404, 2018.

Latest News

[Jun 2025] Organising minisymposia "MS 42 - Uncertainty Quantification for Materials & Mechanics" at ENUMATH, Sept 1-5 2025, Heidelberg, Germany
[Feb 2025] Gave an invited seminar talk at Modern Applied and Computational Mathematics (MACM) series at Karlsruhe Institute of Technology, Germany
[Jan 2025] Featured in video documentation A week in the life of a Data Study Group by the Alan Turing Institute, London, United KIngdom