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.
The Pattern Recognition Lab (Lehrstuhl für Informatik 5, Mustererkennung) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is proud to announce that its proposal “Hyb_Mod_Netz – Hybride Netzmodelle als Basis für den optimalen Betrieb von Fernwärmenetzen” has been selected for funding by t...
It's a great pleasure to announce Prof. Dr. Karl Friston as a speaker in our lab!
Title: The physics of sentienceDate: Oct 24th, 2025, 10 AM CETLocation: https://fau.zoom-x.de/j/62249702322?pwd=z08nBcKqhOGLkGeLwbNfbofiv2zmkm.1
Abstract: how can we understand ourselves as sentient creatur...
Hello!
My name is Karan Pahlajani, and I am starting my PhD with the lab this month.
I have a background in Computer Science and two years of experience in IT consulting.
After completing my master thesis at the lab, I am happy to continue as a PhD student with the DPUI group. My re...
Nora Gourmelon, a PhD student at the Pattern Recognition Lab, was recently featured by FOCUS in an article highlighting her research on monitoring glacier retreat with artificial intelligence. The feature, titled “Deutsche Forscherin entwickelt Technologie, die das Sterben der Gletscher offenbart”,...
We are delighted to share that Andreas Maier and Vincent Christlein have once again been recognized among the top 2% of most-cited academics worldwide, as listed in the annual update curated by Prof. Dr. John P.A. Ioannidis (Stanford University). This marks (at least) the third consecutive year the...
