Kategorie: ‘IRTG Fellows’
IRTG Fellows
28. September 2018 | von Jansen, Vanessa Sandra
Arved Bartuska, M.Sc.
Advisor / Co-advisor:
Prof. Dr. Raul Tempone / Prof. Omar Ghattas, Ph.D.
Thesis:
Hierarchical Methods for Bayesian Optimal Experimental Design
Janis Born, M.Sc.
Ankit Chakraborty, M.Sc.
Advisor / Co-advisor:
Prof. Georg May, Ph.D / Prof. Leszek Demkowicz, Ph.D.
Prof. Georg May, Ph.D / Prof. Leszek Demkowicz, Ph.D.
Thesis:
Metric-Based Anisotropic Adaptation for Optimal Petrov-Galerkin Methods
Jan-Christopher Cohrs, M.Sc.
Advisor / Co-advisor:
Prof. Dr. Benjamin Berkels/ Prof. Chandrajit Bajaj, Ph.D.
Prof. Dr. Benjamin Berkels/ Prof. Chandrajit Bajaj, Ph.D.
Thesis:
Variational Segmentation of Hyperspectral Data with non-negligible Intra-class Variation
Variational Segmentation of Hyperspectral Data with non-negligible Intra-class Variation
Andrea Hanke, M.Sc.
Advisor / Co-advisor:
Prof. Dr. Manuel Torrilhon / Prof. Irene Gamba, Ph.D.
Prof. Dr. Manuel Torrilhon / Prof. Irene Gamba, Ph.D.
Thesis:
Numerical Reconstruction Techniques for the Boltzmann Equation
Numerical Reconstruction Techniques for the Boltzmann Equation
Konstantin Key, M.Sc.
Advisor / Co-advisor:
Prof. Dr. Stefanie Elgeti / Prof. Thomas J.R. Hughes, Ph.D.
Prof. Dr. Stefanie Elgeti / Prof. Thomas J.R. Hughes, Ph.D.
Thesis:
Modeling of Solidification in an Isogeometric Framework
Modeling of Solidification in an Isogeometric Framework
Zhouji Liang, M.Sc.
Advisor / Co-advisor:
Prof. Florian Wellmann, Ph.D./ Prof. Omar Ghattas, Ph.D.
Prof. Florian Wellmann, Ph.D./ Prof. Omar Ghattas, Ph.D.
Thesis:
Model-controlled Bayesian Inversion for Geophysical Inverse Problems
Model-controlled Bayesian Inversion for Geophysical Inverse Problems
Karsten Paul, M.Sc.
Advisor / Co-advisor:
Prof. Roger A. Sauer, Ph.D. / Prof. Chad Landis, Ph.D.
Prof. Roger A. Sauer, Ph.D. / Prof. Chad Landis, Ph.D.
Thesis:
Reconstruction of Damage Models for Thin Shells Based on Phase Field Methods
Reconstruction of Damage Models for Thin Shells Based on Phase Field Methods
Aravind Sankaran, M.Sc.
Advisor / Co-advisor:
Prof. Paolo Bientinesi, Ph.D. / Prof. Robert van de Geijn, Ph.D.
Prof. Paolo Bientinesi, Ph.D. / Prof. Robert van de Geijn, Ph.D.
Thesis:
Machine Learning Based Performance Modelling for Dense Linear Algebra
Machine Learning Based Performance Modelling for Dense Linear Algebra
Tim Varelmann, M.Sc.
Advisor / Co-advisor:
Prof. Alexander Mitsos, Ph.D. / Prof. Michael Baldea, Ph.D.
Prof. Alexander Mitsos, Ph.D. / Prof. Michael Baldea, Ph.D.
Thesis:
Numerical Methods for Solving Large, III-Conditioned Semidefinite Programs Arisi
Numerical Methods for Solving Large, III-Conditioned Semidefinite Programs Arisi
Stefan Wittschieber, M.Sc.
Advisor / Co-advisor:
Prof. Marek Behr, Ph.D / Prof. Leszek Demkowicz, Ph.D.
Prof. Marek Behr, Ph.D / Prof. Leszek Demkowicz, Ph.D.
Thesis:
DPG and Novel Stabilized Finite-Element Methods for Complex Fluids
DPG and Novel Stabilized Finite-Element Methods for Complex Fluids