Curriculum Vitae

Education

M.Sc. in Computer Science

University of Siegen July 2019 Grade: 1.0 (with distiction) Grade Thesis: 1.0

I graduated with distinction with my Master's degree, majoring in Visual Computing in 2019 with a thesis titled Unsupervised Mitral Valve Segmentation in Echocardiographic Videos based on Matrix Factorization under the supervision of Prof. Dr. Michael Möller and Prof. Andrea Bertozzi, Ph.D..

B.Sc. in Computer Science

University of Siegen November 2016 Overall Grade: 1.8 Grade Thesis: 1.0

I graduated with my Bachelors's degree, majoring in Visual Computing in 2016 with a thesis titled 3D Face Reconstruction from Stereo Images under the supervision of Prof. Dr. Volker Blanz and M. Sc. Mai Lan Ha.

Scientific Work

Scientific Employee

University of Siegen Since August 2019

Currently, I am working on hybrid model and learning-based approaches at the chair of Computer Vision under the supervision of Prof. Dr. Michael Möller.

Visiting Graduate Researcher

University of California, Los Angeles June 2018 - January 2019

In Los Angeles, I participated in a research program (Applied and Computational Mathematics REU Program Summer 2018) and later wrote my master's thesis there.

Student Assistant (with bachelor's degree)

University of Siegen April 2017 - August 2018

As a student assistant I gained first experiences in the field of Deep Learning.

Teaching

Digitale Bildverarbeitung

University of Siegen Wintersemester, since 2020 ~20 students

Digital images are nowadays ubiquitous and often contain a lot of information for the viewer. This lecture deals with the creation, processing and representation of digital images. Topics covered include reconstruction of digital images, which includes, for example, denoising noisy images, and automatic analysis of digital images, such as image segmentation. More specific topics covered in this course include: Representation of digital images Representation of digital images, image formation, image interpolation, filters, color images and transformations, segmentation techniques, clustering techniques.

Digitale Bildverarbeitung Praktikum

University of Siegen Summersemester, since 2021 ~35 students

In the Digital Image Processing Practicum, each participant works on a project in which the contents of Digital Image Processing are applied practically, i.e. in the form of a program programmed in Python. The project to be worked on consists of the implementation of a graphical user interface in which two images can be seamlessly blended interactively using Poisson Image Editing. For this purpose, we will work on the following topics in particular: GUI programming in Python: interactively sketching a mask for segmentation using learning-based methods, placing and moving images on the graphical user interface; implementing Poisson Image Editing.

Object Oriented and Functional Programming

University of Siegen Summersemester, 2015 & 2016

As a student assistant I taught exercise groups on object-oriented modeling with UML and Java programming.

Algorithms and Datastructures

University of Siegen Wintersemester, 2015 & 2016

As a student assistant, I taught exercise groups on C++, basic data structures, and algorithms.

Awards

FITweltweit Scholarship

Deutscher Akademische Austauschdienst (DAAD) November 2018 - January 2019

IT Award of the Krombacher Brewery

Krombach 2020

Engagment

Women in Vision

Since 2020

We are a group of women who study and work in the field of computer vision at University of Siegen and would like to share our experiences here in order to raise interest in computer vision among other women and to create a network of women who share the same interest.

Member of the Musikverein Bilstein

2003 - 2019

Youth representatives of the Musikverein Bilstein

2009 - 2013

Reviewing

IEEE International Conference in Image Processing 2022

26th International Conference on Pattern Recognition