Arved Bartuska

M. Sc.
Arved Bartuska, M. Sc. M.A. Copyright: © Martin Braun
Lehrstuhl für Mathematics for Uncertainty Quantification


Gebäude-1953, 1.OG

Pontdriesch 14-16

52062 Aachen


Phone: +49 241 8099833


My name is Arved Bartuska, I am a Ph.D. student at the Chair of Mathematics for Uncertainty Quantification. The topic of my thesis is “Hierarchical Methods for Bayesian Optimal Experimental Design”.


Research Focus

Bayesian experimental design aims at determining an experimental setup for which the information obtained about certain parameters of interest is maximized. Uncertainty stemming from the model parameters is quantified and efficient algorithms are derived.


Research Areas

  • Bayesian experimental design
  • Laplace approximation
  • Nuisance uncertainty
  • Monte Carlo
  • Quasi Monte Carlo.


  • Bartuska, A., Espath, L., and Tempone, R. “Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty”. Computer Methods in Applied Mechanics and Engineering. 399, 115320, 2022.[DOI:10.1016/j.cma.2022.115320]


Talks and presentations

Date Title Location
15/05/2022 - 28/05/2022Small-noise approximation for Bayesian optimal experimental design with nuisance uncertaintyKing Abdullah University of Science and Technology, Saudi Arabia (Hybrid)
12/04/2022 - 12/04/2022 Laplace Approximation for Bayesian Optimal Experimental Design with Nuisance UncertaintyAtlanta (Hybrid)