CAIDAS Best Master Thesis Prize 2021 for Vanessa Borst10.12.2021
Our member Vanessa Borst has been awarded the prize for the best master thesis in the field of AI and Data Science by the Center for Artificial Intelligence and Data Science in cooperation with the Vogel Foundation.
With her master thesis "Automated Detection of Cardiac Abnormalities in ECG Signals with a Multi-Head Attention-based CNN-RNN Model", Vanessa Borst is the winner of this year's Best Master Thesis Prize awarded by the Center for Artificial Intelligence and Data Science (CAIDAS) in cooperation with the Vogel Foundation. The prize for outstanding theses in the field of AI & Data Science, sponsored by the Vogel Foundation with €1.000, was presented by Dr. Gunther Schunk at the last meeting of AI Talks@JMU.
In her thesis, written at the Chair of Software Engineering under the supervision of Marwin Züfle and Robert Leppich, Ms. Borst developed a sophisticated deep learning-based architecture for the automated detection of rhythmic and morphological abnormalities in 12-lead ECG data. To this end, she refined an existing state-of-the-art (SOTA) approach by integrating promising components that proved to be effective in research areas like computer vision and natural language processing. Based on two groups of experiments, she integrated five major modifications into the baseline. Contrasting her finally proposed model with existing SOTA methods, the received results showed that the developed architecture performs strikingly well and is able to outperform all except one of the approaches included in the comparison.