Intelligent Systems Research Group

Profile Projects Publications Team Student Issues

Selected Student Theses

Master Theses

Redlof M.
Constructing Expander Graphs: A Didactic Approach
Master-Thesis, supervised by Prof. Heiko Körner, 2022. [pdf]

Baumann R.
Autodecoders for 3D shape completion from deficient 3D input
Master-Thesis, work place at inovex GmbH, supervised by Prof. Astrid Laubenheimer, 2021. [pdf]

Theurer L.
Human Action Recognition in Context
Master-Thesis, work place at Inferics GmbH, supervised by Prof. Astrid Laubenheimer, 2020. [pdf]

Bachelor Theses

Rapp F.
Development of an App to record RGBD Data for AI-based Diagnosis and Monitoring of Infant Head Deformation
Bachelor-Thesis, work place at inovex GmbH, supervised by Prof. Astrid Laubenheimer, 2022. [pdf]

HiWi and PHD-Positions

HiWi positions: We are offering frequently HiWi positions in our group to support us in our projects. If you are interested, please contact Anita Bender.

PHD positions: From time to time we have vacancies for research assistants.
If you are interested, please contact isrgspam prevention@h-ka.de.

Student Projects and Thesis

For our students, we offer project and seminar topics as well as thesis projects that are related to our research topics. Some of them are carried out in the Machine Learning Lab (LfM).

If you are interested, please contact us.

Thesis seminar: Students whose theses we supervise are invited every other week to meet, share ideas, brainstorm and discuss. These meetings are moderated by members of the ISRG.

Student Talks

The ISRG organizes student talks on specific topics at irregular intervals. The aim of these talks is to give students the opportunity to present their scientific work in front of a broad audience made up of other students, business people and scientists.

Selected Student Projects

End-to-End Workflow for the Generation of Human 3D Scans

Projektarbeit WS 22/23:
David Milde
Johannes Ott

Supervisor:
Prof. Dr. Astrid Laubenheimer

TF-AtlasNetV2

Deep learning for creation and adjustment of 3D shapes

Projektarbeit SS 20:
Robin Baumann, M.Sc.

Supervisor:
Prof. Dr. Astrid Laubenheimer

GitHub

Gesture Recognition

Real-time classification of movements using time-convolution networks based on joint detection with Tf-Pose

Projektarbeit WS 19/20:
Pol Zeimet

Supervisor:
Prof. Dr. Norbert Link

GitHub

3D-GANs

Evaluation of 3D Generative Adversarial Networks

Projektarbeit WS 18/19:
Alexander Melde, M.Sc.
Jonas Harlacher

Supervisor:
Prof. Dr. Astrid Laubenheimer

GitHub

Teaching

The group members give lectures in several Bachelor and Master programms.

Bachelor Programms

Analysis

Lecturer:
Prof. Astrid Laubenheimer
Bachelor Programms:
Computer Science (INFB)
Media Informatics (MINB)

module description

Computer Vision

Lecturer:
Prof. Astrid Laubenheimer
Bachelor Programms:
Computer Science (INFB elective)
Media Informatics (MINB)
Other progamms on request

module description

Computer Vision Lab

Lecturer:
Prof. Astrid Laubenheimer
Bachelor Programms:
Computer Science (INFB elective)
Media Informatics (MINB elective)

module description

Autonomous Systems Lab

Lecturer:
Prof. Norbert Link
Bachelor Programms:
Computer Science (INFB elective)
Media Informatics (MINB elective)

module description

Information Theory and Coding

Lecturer:
Prof. Franz Quint
Bachelor Programms:
Electrical Engineering and Information Technology (EITB)

Spectral Communications

Lecturer:
Prof. Franz Quint
Bachelor Programms:
Electrical Engineering and Information Technology (EITB)

Master Programms

Machine Learning

Lecturer:
Prof. Astrid Laubenheimer
Prof. Dennis Janka
Alexander Melde, M.Sc. (Practice INFM)
Master Programms:
Computer Science (INFM elective)
Electrical Engineering and Information Technology (EITM elective)
Other progamms on request

module description

Optimization

Lecturer:
Prof. Astrid Laubenheimer
Robin Baumann, M.Sc. (Practice)
Master Programm:
Computer Science (INFM elective)

module description

Digital Communications

Lecturer:
Prof. Franz Quint
Master Programm:
Electrical Engineering and Information Technology (EITM)

Directions