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dr. K. Smetana (Kathrin)

About Me

My research interests lie broadly in the areas of (probabilistic) numerical analysis and scientific computing. More precisely, my research focuses on the development and numerical analysis of multiscale, model order and dimension reduction methods and their application in engineering, computational earth sciences, and computational biology. Furthermore, I am advancing randomized methods used in data science and in compressed sensing for the approximation of partial differential equations (PDEs), including both the design of approximations and their probabilistic numerical analysis.

I am an Assistant Professor at the Department of Applied Mathematics at the University of Twente. Prior to that appointment I worked as a postdoctoral associate in the Group of Prof. Dr. Mario Ohlberger in the Department of Applied Mathematics at the University of Münster, Germany and in the Group of Prof. Dr. Anthony T. Patera in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, United States. I completed my PhD in Mathematics from the University of Münster in 2013.

Research Interests:

  • Model Order Reduction
  • Randomized Methods
  • A posteriori and a priori error estimation
  • Domain decomposition methods/ special finite element methods/ multiscale methods
  • Concentration Inequalities
  • Scientific Computing
  • Computational earth sciences
  • Computational biology

Expertise

Condensation
Approximation
Certification
Structural Health Monitoring
Tensors
Estimators
Geometry
Partial Differential Equations

Research

My research interests lie broadly in the areas of (probabilistic) numerical analysis and scientific computing. More precisely, my research focuses on the development and numerical analysis of multiscale, model order and dimension reduction methods and their application in engineering, computational earth sciences, and computational biology. Furthermore, I am advancing randomized methods used in data science and in compressed sensing for the approximation of partial differential equations (PDEs), including both the design of approximations and their probabilistic numerical analysis.

Research Interests:

  • Model Order Reduction
  • Randomized Methods
  • A posteriori and a priori error estimation
  • Domain decomposition methods/ special finite element methods/ multiscale methods
  • Concentration Inequalities
  • Scientific Computing
  • Computational earth sciences
  • Computational biology

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Google Scholar Link

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands