Join the premiere! We cordially invite you to join the first Interdisciplinary Autumn School of the German Section of IEEE Engineering in medicine and Biology Society (EMBS): The German Autumn School on Biomedical Engineering! Learn about state-of-the-art research and get to know your peers across all fields of medical technology.
No one in our field will be able to bring a technology to the patient bed without joining forces with others. A surgical robot relies on imaging and image processing to plan its next actions. Tissue engineered implants need computational models to estimate the individually optimal shape of the desired prosthesis for the given patient. Decision support systems are based on data integration and data management systems. Laser-based optogenetic manipulators raise the demand for a wet lab to prove their efficiency.
Whatever field you are working in: If you want to bring your ideas to life and into clinical application, you will dramatically benefit from interdisciplinary expertise and connections to colleagues from other fields.
To get you started with that and kickstart your interdisciplinary knowledge and network, we are hosting the Interdisciplinary Autumn School. As the world’s largest scientific society in the field, the IEEE EMBS gathers expertise across all topics of engineering in medicine and biology. Following that spirit, we aim at building a vivid, interdisciplinary community in Germany. Take the first step and become a part of that!
The school will take place in the time of 25.10.2023 (noon) – 27.10.2023 (noon).
Venue and accomodation
The Autumn School will be hosted in the Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering (Fraunhofer IMTE) in Lübeck, Germany. To boost the networking character, the autumn school is a pure in-person event. We suggest the Motel One Lübeck Hotel as accomodation during the event.
The Autumn School is open for all researchers interested in the field of engineering in medicine and biology at any level. However, the program is specifically tailored to young researchers at the beginning of their PhD or highly motivated master students.
While the focus lies on bringing together researchers from institutions in Germany, international attendees are warmly welcome as well.
The registration will open soon. Stay tuned…
The program will feature lectures and keynotes on topics ranging across the whole field covered by engineering in medicine and biology. Furthermore, there will be hands-on sessions, poster presentations by the attendees, soft-skill workshops and, of course, plenty of time to get to know your peers.
We are happy to announce the first round of speakers who will provide you with in depth knowledge on a wide range of topics across all disciplines of engineering in medicine and biology.
Prof. Dr. Alessa Hering is an Assistant Professor at Diagnostic Image Analysis Group and a senior scientist at Fraunhofer MEVIS. Her current research focuses on efficient and accurate tumor follow-up assessment using deep learning. Furthermore, she is interested in the development of deep-learning-based image registration methods.
Dr. Sebastian Fudickar heads the HIGHmed junior research group MOVE Group funded within the German Medical Informatics Initiative framework. With his group he investigates wearable and ambient diagnostic systems for the combined assessment of motor, cognitive and sensory abilities. To enhance the differentiated monitoring-capabilities of patients’ functionality via wearable and ambient sensor technologies and data-analytic approaches.
Sebastian Zaunseder is Professor for Diagnostic Sensing at University of Augsburg. His research directs to sensors and sensor data processing with a particular focus on user-friendly solutions such as non-contact sensing and wearables to be used in multiple fields.
Further speakers will be announced soon, stay tuned…
Theresa Bender, Department of Medical Informatics, University Hospital Göttingen
Jannis Hagenah, Fraunhofer IMTE
Nicolai Spicher, Department of Medical Informatics, University Hospital Göttingen
Maximilian Wattenberg, Fraunhofer IMTE