Mathematics of Data Science

We work at the interface of data science, machine learning, inverse problems and image processing.

About the working group

Within the areas we cover, our research is characterized by a close connection between the development and analysis of mathematical models in function space and concrete, interdisciplinary applications.

Our main directions of research are variational methods for dynamic and multi-channel inverse problems as well as generative models in machine learning. The contributions of our work are both of mathematical nature, comprising novel mathematical models in function space, and strongly application-driven, comprising the implementation and publication of parallelized algorithms and software tools for dealing with real-world data.

Examples of our practical contributions so far are mathematical models and corresponding algorithms for dynamic magnetic-resonance imaging, positron emission tomography, image- and video decompression and electron tomography.

Further information and all publications of our group can be found on the website of the head of our research group.

Group Head

Man with short hair looking at camera.

Assoz. Prof. Mag. Dr.rer.nat.
Martin Holler

e-mail:
martin.holler(at)uni-graz.at

Phone:+43 316 380 - 5156
Location:Heinrichstraße 36, 3. Stock, Raum 429
Opentimes:Jederzeit bei Anwesenheit oder nach Vereinbarung
Web: http://imsc.uni-graz.at/hollerm/

Group secretariat

mag. Dott.ssa
Silvia Lebosi

e-mail:
silvia.lebosi(at)uni-graz.at

Phone:+43 316 380 - 5151
Location:Heinrichstraße 36, 3. Stock, Raum 423

Scientific Staff

Dipl.-Ing. BSc
Erion Morina

e-mail:
erion.morina(at)uni-graz.at

Phone:+43 316 380 - 5064

Mag. Dr.rer.nat. BSc MSc
Wolfgang Kern

e-mail:
w.kern(at)uni-graz.at

Phone:+43 316 380 - 5065
Opentimes:nach Vereinbarung