Elisabeth Hoppe: AI Newcomer of the Year
11,000 votes cast, 10 selected AI newcomers and one FAU doctoral candidate: Elisabeth Hoppe from the Chair of Pattern Recognition has been voted AI Newcomer of the Year together with nine other nominees. Elisabeth Hoppe is completing a doctoral degree at FAU in the area of quantitative MR imaging in combination with deep learning and has developed a deep learning based reconstruction method for the quantitative imaging technique magnetic resonance fingerprinting. Congratulations!
The project ‘#KI50: Künstliche Intelligenz in Deutschland – gestern, heute, morgen’(#AI50: Artificial Intelligence in Germany – yesterday, today, tomorrow’), run by Gesellschaft für Informatik e.V. (German Informatics Society), is turning the spotlight on young, committed AI researchers from all disciplines. Ten outstanding AI newcomers have been recognised within the context of the Federal Ministry of Education and Research’s ‘Science Year 2019 – Artificial Intelligence’.
A comprehensive interview with Elisabeth Hoppe is available here.
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