InverseProblemsInPDE

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

MA: Inverse Problems in PDE-driven Processes Using Deep Learning

Advisor: Prof. Bjoern Menze
Supervision by: Suprosanna Shit

Abstract

We are looking for extremely motivated student to work on the topic "Inverse Problems in PDE-driven Processes Using Deep Learning". The scope of this project is the intersection of numerical methods and machine learning. The objective is to develop theoretical framework and efficient algorithms that can be applied to broad class of PDE-driven systems. However, we can tailor the focus and scope of the project to your preferences.

Tasks

The successful candidate has to perform theoretical and experimental studies on PDE-based systems.

Requirements

  • Sound theoretical knowledge in numerical analysis, linear algebra and machine learning.
  • Knowledge of a python programming language.

Contact

Suprosanna Shit

Bjoern Menze

ProjectForm
Title: Inverse Problems in PDE-driven Processes Using Deep Learning
Abstract: We are looking for extremely motivated student to work on the topic "Inverse Problems in PDE-driven Processes Using Deep Learning". The scope of this project is the intersection of numerical methods and machine learning. The objective is to develop theoretical framework and efficient algorithms that can be applied to broad class of PDE-driven systems. However, we can tailor the focus and scope of the project to your preferences.
Student:  
Director: Prof. Bjoern Menze
Supervisor: Suprosanna Shit
Type: Master Thesis
Area: Machine Learning
Status: running
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.7 - 15 May 2019 - 00:48 - SuprosannaShit