Model Order Reduction
Major research interests
- Model order reduction
- Scientific machine learning
- Scientific computing
- Numerical analysis
Possible research projects (not exhaustive)
- Model and complexity reduction
(Collaboration partners: Prof. Benner, apl. Prof. Janiga, Prof. Richter, Prof. Sager)
Current doctoral researchers in the IMPRS ProEng program
Harshit Jyothsnaben Kapadia
PhD project since November 2019: Reduced-order modeling for large-scale computational fluid dynamic problems
IMPRS ProEng Alumnae and Alumni
Sridhar Chellappa
PhD thesis: A Posteriori Error Estimation and Adaptivity for Model Order Reduction of Large-Scale Systems (September 13, 2022)
