Short CV

Christopher Ringhofer, M.Sc., works since April 2020 as a researcher and PhD student at the Intelligent Embedded Systems department of the University Duisburg-Essen.

He received his Bachelors Degree for Applied Informatics with a focus on engineering informatics in 2017 at the University Duisburg-Essen. Afterwards he worked three years as a software engineer in the company ithinx GmbH with a focus on the Internet of Things. He received his Master's degree in 2020. In his Master thesis he worked on signal processing of ECG data and its analysis with deep neural networks.

Until 2022 he then worked on two research projects funded by the German Federal Ministry of Education and Research: "KI-Sprung: LUTNet – An energy-efficient AI network of elementary lookup tables" and "KI-LiveS – AI Lab for Distributed and Embedded Systems". Since May 2024, he has been working on another research project funded by the German Federal Ministry of Education and Research called "TransfAIr: Transfer Approaches for Artificial Intelligence in Industry".

Every winter semester, he supervises the lecture and exercise in the Bachelor's course "Embedded Systems". He also taught "AI-based neurosignal processing" as part of a recurring student project.

Research

My current research is on automated search of efficient neural network architectures for signal processing on embedded devices. With the help of evolutionary algorithms I am developing a system that uses neural architecture search to construct latency-optimized networks for signal processing of audio data. I use microcontrollers and embedded FPGAs as target platforms for this. My current use case is digital audio processors, e.g. for studio and live applications.