Research topics of the Realtime-Platforms group, Zurich University of Applied Sciences (ZHAW), Switzerland

18 Novembre 2024
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Matthias Rosenthal,Zurich University of Applied Sciences (ZHAW)
Lunedì 18 Novembre alle ore 17:30, nell’aula riunioni al 6 Piano della sede di Largo Lucio Lazzarino,

Abstract
An overview of various research projects of the Realtime-Platforms group at ZHAW is given, highlighting new approaches in real-time signal processing, edge AI algorithms, hardware acceleration and fine-tuning at the edge, as well as federated learning. The selected projects make use of the latest embedded FPGA and GPU technologies and cover different real-world applications, including signal processing for atomic force microscopy, AI-supported kidney detection, battery-driven ultra-low power edge AI, and automated process monitoring in injection molding.

Bio
Matthias Rosenthal is a professor at the Zurich University of Applied Sciences (ZHAW) and is heading the research group for Realtime Platforms. He specializes in distributed digital signal processing, embedded GPU processing, and real-time embedded computing. He earned his PhD in Electrical Engineering from ETH Zurich. His professional career includes key roles such as Co-founder and CTO of Sonic Emotion AG (acquired by Sennheiser), along with other positions in the field of signal processing and audio/video domain. He is also an expert for the Swiss funding agency Innosuisse.