Robert Scheichl
Scholar

Robert Scheichl

Google Scholar ID: sewuWTIAAAAJ
Heidelberg University
Numerical AnalysisScientific ComputingUncertainty QuantificationMathematics
Citations & Impact
All-time
Citations
2,949
 
H-index
28
 
i10-index
68
 
Publications
20
 
Co-authors
16
list available
Contact
No contact links provided.
Publications
1 items
Resume (English only)
Academic Achievements
  • Research achievements have been applied to areas such as groundwater flow, nuclear physics, and carbon fiber composites in manufacturing.
Research Experience
  • The research experience focuses on developing innovative numerical methods for efficiently quantifying uncertainty; applying these techniques to tackle data-driven, large-scale problems typically modeled in the form of differential equations; also focusing on designing and analyzing efficient numerical techniques for high- or infinite-dimensional Bayesian inverse problems, especially those constrained by differential equations.
Background
  • Research interests include Uncertainty Quantification, Inverse Problems and Bayesian Inference, Multiscale Methods.