معرفی
Kathrin Smetana is Assistant Professor in the Department of Mathematical Sciences at Stevens Institute of Technology, holding an NSF CAREER Award for randomized multiscale methods. Research develops computational mathematics for model reduction of multiscale PDEs, combining randomized algorithms with traditional numerical techniques.
Key research thrusts:
- Randomized error estimation for parametrized systems
- Localized model reduction frameworks
- Adaptive enrichment strategies
- Stable discretizations for kinetic equations
Publications demonstrate integration of probabilistic and deterministic approaches, with 60% focusing on model reduction and 25% on randomized algorithms. Current NSF project extends methods to nonlinear heterogeneous PDEs.
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