Dr. Evgenia Youett

Developed machine learning based image processing (semantic segmentation) for an ADAS reference system

Developed machine learning based image processing (semantic segmentation) for an ADAS reference system

- Developed advanced driver assistance systems - situation analysis for emergency breaking and adaptive cruise control - Developed an AI blueprint project compatible with series development (verification of neural networks)

- Performed research in the field of numerical methods for PDEs and Uncertainty Quantification - Developed and implemented numerical algorithms (finite elements, Monte Carlo methods) - Developed a software for simulation of knee implant tests

- Developed and implemented numerical methods and algorithms (finite differences, finite volumes methods)

Numerical methods for solving Partial Differential Equations (PDEs) and for Uncertainty Quantification in models based on PDEs. Thesis: Adaptive multilevel Monte Carlo methods for random elliptic problems.

Mathematical modeling, applied mathematics, continuum mechanics, numerical methods.

Applied mathematics.