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Welcome to the Pattern Recognition Lab!

Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.

Research Areas

It is a great pleasure to announce a new guest presentation by Matthias Niessner from TU Munich! Title: Why Neural Rendering is getting more amazing every day!Date: 21st of January, 2021, 12h, noon CETLocation: https://fau.zoom.us/j/93218875951?pwd=TXdVdi9nVTVRa09ya1V2aWk5Z0d1UT09 Abstract:&n...

Die Notfallumstellung auf Distanzschule hat einige Schulen, Lehrende und Eltern an ihre Grenzen gebracht. Insbesondere ist die technische Betreuung eine Herausforderung. Daher haben nun Studierende der Erlanger Informatik eine Kampagne zu deren Unterstützung gestartet. Unter der Mail-Adresse cs5...

Mathias Öttl received his Master’s degree in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg and joined the Pattern Recognition Lab in January 2021 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His Ph.D. research project focuses on machine learning in the...

Kai Packhäuser received his Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in December 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. The resea...