smart health RheinMain University of Applied Sciences

Working Group Heads

Dr. Sergio Staab

Sergio Staab

Dr. Sergio Staab is a research associate in the Smart Living & Biometric Technologies department at the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt. He is also a lecturer at the RheinMain University of Applied Sciences in the areas of research and teaching. His research interests (Activity Recognition and Human Motion Analysis in the context of care) are addressed in a wide variety of research projects. He is currently responsible for the content and organization of the lectures Usability Engineering, Web Technologies II and Current Topics. Homepage

Prof. Dr. Johannes Luderschmidt

Johannes Luderschmidt

Prof. Dr. Johannes Luderschmidt is Professor for Media Informatics and Technology of Interactive Systems at the RheinMain University of Applied Sciences. His research interests are interactive surfaces, smart technology and information visualization. He received his Ph.D. from the Goethe University Frankfurt for his dissertation on authoring aspects of interactive surfaces. Prof. Luderschmidt is particularly attracted by the combination of smart hardware and a good user experience. Homepage

Dr. Biying Fu

Biying_Fu

Dr. Biying Fu received the Bachelor of Science degree in electrical engineering and information technology from University of Karlsruhe, Germany, in 2011 and the Master of Science degree in 2014. She finished her PhD in 2020 in informatics at Technical University of Darmstadt, Germany, on the topic "Sensor Applications for Human Activity Recognition in Smart Environments". From 2014 to 2024, she worked as a senior research scientist in the department of Smart Living and Biometric Systems with the Fraunhofer Institute for Computer Graphics IGD, Germany. Starting from 2022 till today, she works as a professor in Informatics at RheinMain University of Applied Science with the major in "Explainable AI". Her research interest includes explainable and interpretable machine learning, intelligent systems, human activity recognition, computer vision and deep learning. Homepage

Prof. Dr-Ing. Ludger Martin

Ludger Martin

Prof. Dr-Ing. Ludger Martin is professor for web-based applications at RheinMain University of Applied Sciences since 2012. His research interest are in developing web-based applications and in usability engineering. He received his doctoral degree in computer science at Technical University of Darmstadt. Homepage

Doctoral Students

Farnod Bahrololloomi

Farnod Bahrololloomi

Farnod Bahrololloomi is a research associate at the RheinMain University of Applied Sciences and is doing his doctorate in the field of speech-based activity recognition for the generation of care documentation. His research interests include Human Activity Recognition, Automatic Speech Recognition, Electronic Health Records and Natural Language Processing. He also teaches courses on scientific writing and supports the supervision of Bachelor's and Master's theses as well as Master's projects. Homepage

Vincent Abt

Vincent Abt

Vincent Abt received his Master of Science degree in electrical engineering and information technology at the Karlsruhe Institute of Technology. At the start of the coronavirus pandemic, Mr. Abt specialized in wearable health monitoring systems while working as a hardware engineer at a medtech start-up. Currently, he is a research associate in the Smart Living & Biometric Technologies department at the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt, investigating, developing, and evaluating novel approaches for human health monitoring using unobtrusive, ubiquitous sensor technology. Homepage

Noel D’Avis

Noel D’Avis

Noel D'Avis is a research associate at RheinMain University of Applied Sciences and is pursuing his doctorate in the field of fall detection using optical and acoustic sensors. His research interests include Human Activity Recognition, Sensor Fusion, Machine Learning, and Assistive Technologies. He is actively involved in teaching and supervises Bachelor’s theses, as well as Master's projects. Homepage

Current Research Assistants

Nadia Günter

Nadia Günter

Nadia Günter is a Media Management student at RheinMain University of Applied Sciences and a research assistant in the Smart Living & Biometric Technologies department at the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt. Her previous projects include the programming of various websites and online stores as well as the further development of the green screen application environment as a tutor for multimedia in the Department of Information and Communication Technology at RheinMain University of Applied Sciences.