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IRTG Modern Inverse Problems (MIP)

Kategorie: ‘IRTG Fellows’

IRTG Fellows

28. September 2018 | von

 

Nicole Aretz, M.Sc.

Advisor / Co-advisor:
Prof. Karen Veroy-Grepl, Ph.D. / Prof. Tan Bui-Thanh, Ph.D.
 
Thesis:
Data Assimilation and Sensor Selection for Configurable Forward Models: Challenges and Opportunities for Model Order Reduction Methods

 

 

 

Arved Bartuska, M.Sc.

Advisor / Co-advisor:
Prof. Dr. Raul Tempone / Prof. Omar Ghattas, Ph.D.

Thesis:                                                             
Hierarchical Methods for Bayesian Optimal Experimental Design

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Ankit Chakraborty, M.Sc.

Advisor / Co-advisor:
Prof. Georg May, Ph.D / Prof. Leszek Demkowicz, Ph.D.

Thesis:
Metric-Based Adaptive Techniques for Discontinuous Petrov-Galerkin Finite Element Methods

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Jan-Christopher Cohrs, M.Sc.

Advisor / Co-advisor:
Prof. Dr. Benjamin Berkels/ Prof. Chandrajit Bajaj, Ph.D.
 
Thesis:
Unsupervised Segmentation of Hyperspectral Images with High Intra-Class Variation

 

 

Andrea Hanke, M.Sc.

Advisor / Co-advisor:
Prof. Dr. Manuel Torrilhon / Prof. Irene Gamba, Ph.D.
 
Thesis:
Evaluation of the Bilinear Collision Operator of the Boltzmann Equation with the Irreducible Burnett Ansatz
 
 
 
 
 

Alexandra Heuschling, M.Sc.

Advisor / Co-advisor:
Prof. Dr. Leif Kobbelt / Prof. Thomas J.R. Hughes, Ph.D.

Thesis:                                                             
Geometry Processing

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Konstantin Key, M.Sc.

Advisor / Co-advisor:
Prof. Dr. Stefanie Elgeti / Prof. Thomas J.R. Hughes, Ph.D.
 
Thesis:
Novel Numerical Methods for Solidification in Manufacturing Processes
 
 
 

Zhouji Liang, M.Sc.

Advisor / Co-advisor:
Prof. Florian Wellmann, Ph.D./ Prof. Omar Ghattas, Ph.D.
 
Thesis:
Model-controlled Bayesian Inversion for Geophysical Inverse Problems
 
 
 
 
 
 

Chrysanthi Papadimitriou, M.Sc.

Advisor / Co-advisor:
Prof. Alexander Mitsos, Ph.D. / Prof. Michael Baldea, Ph.D.
 
Thesis:
Optimal Scheduling in Chemical Processes via Surrogate Dynamic Modeling
 

Karsten Paul, M.Sc.

Advisor / Co-advisor:
Prof. Roger A. Sauer, Ph.D. / Prof. Chad Landis, Ph.D.
 
Thesis:
Isogeometric Space-Time Adaptivity for Evolution Models of Thin Shells
 
 

Aravind Sankaran, M.Sc.

Advisor / Co-advisor:
Prof. Paolo Bientinesi, Ph.D. / Prof. Robert van de Geijn, Ph.D.
 
Thesis:
Machine Learning Based Performance Modelling for Dense Linear Algebra

 

 

 

Stefan Wittschieber, M.Sc.

Advisor / Co-advisor:
Prof. Marek Behr, Ph.D / Prof. Leszek Demkowicz, Ph.D. 
 
Thesis:
Robust Finite Element Methods for Viscoelastic Constitutive Laws in Log-Conformation Form