Christopher Ringhofer, M.Sc.
Christopher Ringhofer, M.Sc., works since April 2020 as a researcher at the 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 a company with a focus on the Internet of Things. He received his Master's degree in 2020. In his Master thesis he worked on the preprocessing of ECG data and its analysis with neural networks.
My current work deals with time-series analysis via artificial intelligence. Specifically, deep learning is used to detect heart conditions in ECG data. Ongoing development of solutions combines concepts of signal processing with neural networks. My further interests in relation to deep learning include attention mechanisms and neural architecture search.
No current lectures.
Past lectures (max. 10)
No past lectures.
The following publications are listed in the online university bibliography of the University of Duisburg-Essen. Further information may also be found on the person's personal web pages.
Elastic AI : System support for adaptive machine learning in pervasive computing systemsIn: CCF Transactions on Pervasive Computing and Interaction (2021) in press
ISSN: 2524-5228; 2524-521X