News

Madeleine joined the MaD-Team in April 2021 as a Ph.D. candidate. After completing her Bachelor's studies in Biomedical Engineering at the technical university in Regensburg she decided it was time for a change of scenery and moved to Erlangen for her master's degree in Medical Engineering at the FA...

Ann-Kristin is a masters graduate from the Friedrich-Alexander-Universität in Erlangen Germany where she obtained her degree in Medical Engineering with a focus on pattern recognition and machine learning. Ann-Kristin chose her field of study due to her great interest in the human auditory system an...

At the 54th Edition of the Hawaii International Conference on Systems Sciences (HICSS-54), January 4-8, 2021, Hawaii, USA, Imrana Abdullahi Yari's paper was awarded the Best Paper Award in the IT in Health Care track out of 1448 papers submitted to HICSS-54 (https://hicss.hawaii.edu/best-papers/). H...

Falk joined the MAD Team in October 2020. He studied Mathematics at the RWTH Aachen University. During his ERASMUS exchange in Birmingham, UK, he discovered his interest in Machine Learning and Neural Networks. This inspired his master thesis "Training of ReLU-Networks with Gradient Descent". Before...

Dario joined the MaD lab in November as a Postdoc. Previously, he spent one year as a Postdoc at the NeuroSense joint lab in Siena (Italy), developing machine learning techniques for the analysis of eye-tracking data. He received his Ph.D. in Smart Computing from the University of Florence (Italy), ...

With great pleasure, we can announce that Prof. Dr. Björn Eskofier has been awarded the Curious-Mind-Forscherpreis in the category Life Science. The excellent cutting-edge research was expressly honored and congratulated by Angela Merkel. The Curious-Mind-Forscherpreis, presented by manager magazin...

At the WeRob2020/WearRAcon Europe 2020 conference, Prof. Anne Koelewijn was awarded the best paper award, sponsored by Sensors journal. At the conference, she presented the paper “Predictive Gait Simulations of Human Energy Optimization”, collaborative work with Prof. Jessica Selinger, who leads the...

We are happy to introduce a new publication, which was written in cooperation with the Chair of Digital Industrial Service Systems from FAU: “Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring”. In this paper An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin M...

In this paper, we propose a novel, simple, and secure mutual authentication protocol that supports offline access, leverages independent and stateless encryption services, and enables patients and medical professionals to establish secure connections when using patient-centered health care informati...