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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

Artificial Intelligence-Driven Biomedical Imaging Innovation (REVELATION)

 

Project Description:

Artificial Intelligence-Driven Biomedical Imaging Innovation (REVELATION, FWF project DFH4791124) is an FWF doc.funds.connect doctoral program project and is conducted together with Gertie J. Oostingh, Michael Gadermayr, and Stefan Wegenkittl (fron the Salzburg University of Applied Sciences SUAS) as well as with Roland Kwitt, Nicole Meisner-Kober, and Siljia Wessler (from the Paris Lodron University of Salzburg). Modern imaging technologies in biomedicine generate large amounts of data, which means that more and more experts are needed who can understand and use this data. The REVELATION PhD program comprises six individual but tightly connected projects building on the joint master's degree programs in Applied Image & Signal Processing and Medical Biology at the Paris Lodron University of Salzburg and the Salzburg University of Applied Sciences. The projects deal with biomedical challenges and promote the understanding of cellular interactions and disease development. They combine basic research with applied science and aim to advance both our understanding of biological processes and the development of new therapeutic options. Researchers from the fields of cell biology, microbiology, immunology, bio-imaging, computer vision and machine learning work closely together to develop innovative solutions together with the doctoral students. The aim is to train a new generation of researchers at the interface of biomedicine and artificial intelligence.

 
 

Members:

 
 

Timeframe:

  • Mar 2025 - Feb 2029
 
 

Publications:

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