Chair

In a special interview format of the FAU, our colleage Annika Brigle talked about her research project targeting the quality enhancement of speech signals using neural networks.

Effective January 1, 2023, Walter Kellermann is a member of the Fellow Evaluation Committee of the  IEEE Signal Processing Society, which evaluates the nominations to IEEE Fellow for the IEEE Signal Processing Society.

As an IEEE Fellow since 2008 and after recently reaching the age of 65, Walter Kellermann has been appointed to IEEE Life Fellow effective January 1, 2023.

Our colleague Thomas Haubner investigates the audio quality in teleconferencing scenarios, in which multiple participants are sitting in the same room. For this application, he developed an algorithm that can effectively suppress reverberation, echoes, and noise.

For good teaching in the summer term 2022, the LMS received two awards from the student's evaluation.

We are happy to welcome our new colleague, Amir El-Ghoussan, in our team!

Prof. Dr.-Ing. André Kaup received an Award for good teaching („Preis für gute Lehre an den staatlichen Universitäten in Bayern“) from Minister Markus Blume.

At our chair, the two dotoral candidates Than Dat Nguyen and Viktoria Heimann are actively taking part in research within the research project "Empatho-Kinaesthetic Sensor Technology – Sensor Techniques and Data Analysis Methods for Empatho-Kinaesthetic Modeling and Condition monitoring” (EmpkinS).

Congratulations to our colleague Anna Meyer, who won the VDE Bayern Award 2022 for her outstanding Master thesis entitled "Deep Learning-Based Camera Adaptive Image Enhancement".

How are recycling and image processing related? This episode of 2 Minuten Wissen is about multispectral camera arrays, i.e. cameras that record more than just the usual three channels, for example also in the infrared range of the spectrum.

The Bavarian Research Foundation has granted the Chair of Multimedia Communications and Signal Processing in cooperation with the two companies KRALL Kunststoff-Recycling and Sielaff GmbH & Co. KG the funding project Multispectral Plastics Recognition in the Recycling Process. The aim of the pro...

Congratulations to our colleagues Viktoria Heimann and Andreas Spruck! They won the 10% Best Paper Award on the IEEE International Workshop on Multimedia Signal Processing (MMSP) in Shanghai for their paper entitled "Jointly Resampling and Reconstructing Corrupted Images for Image Classification Usi...

For several years, the LMS is actively participating in standardization activities to allow sustainable video streaming. On the last meeting, our software helping to reduce the power consumption of the end-user device was adopted.

Recently, the German TV broadcastin station RTL published a study on the energy consumption caused by video streaming. For this study, our colleague Christian Herglotz was asked to review the document and provide ideas for further studies. We are happy that the industry is interested in our researc...

Ten colleagues of the LMS traveled to International Conference on Image Processing (ICIP) 2022 in Bordeaux to present and discuss our research results. We were able to publish top-of-the-edge research results in topics such as energy efficiency in video communications, compression and processing of ...

We are happy to announce that Prof. Vasileios Belagiannis will take the professorship on "Machine Learning in Signal Processing" at the LMS beginning October 2022.

Every year, the Bavarian Ministry of Science, Research and Art honors five female students for their outstanding Master's theses or dissertation in the field of engineering.

Our colleagues Max Schäfer and Rudolf Rabenstein won the 3rd Best Paper Award on the 25th International Conference on Digital Audio Effects (DAFx20in22) in Vienna, Austria. The paper, which was jointly written with the coauthors Julian Parker and Sebastian Schlecht, is entitled "Physical Modeling us...

Anna Meyer, who is now working as a research assistant at our chair, won the Best Master Thesis Award from the Verein EMSig e.V. for her Master thesis entitled "Deep Learning-Based Camera Adaptive Image Enhancement". Congratulations!