SFB 1270 Elaine - Electrically Active Implants (A07)
Project duration: 01.01.2026 - 30.06.2029
A07 – Image-based modelling of angiogenesis and tissue remodelling for electrically active implants
The SFB 1270 (Collaborative Research Centre (CRC)) ELAINE is funded by the German Research Foundation (DFG). In the third funding period, CDMA contributes to the CRC research program through subproject A07. The aim of the subproject is to develop a multiscale model of angiogenesis and of the influence of electrical stimulation on the healing of bone and articular cartilage defects. This model is intended to serve as a basis for simulating bone remodeling, since angiogenesis is considered a key factor in bone healing. Likewise, the vascularization of the bone beneath the articular cartilage, which is essential for nutrient supply, is also explicitly modeled. In addition, a multiscale model of the chondrocytic response to electrical stimulation is being established. Coupling these models is expected to provide insights into how stimulation parameters or the design of implant scaffolds can be specifically optimized.
Project Lead: Prof. Dr. Berit Zeller-Plumhoff
Project Staff: Chantat Krisadawat — Jeep
Associated Staff: Bianca Constante Guedert
CmarT-Development of local adaptive tomography for the research of hierarchical complex matter
Project duration: 01.11.2025 - 31.10.2028
Subproject for FAIR meta data management
Cmart is a collaboration between DESY, University of Göttingen, Helmholtz-Zentrum Hereon, Karlsruhe Institute of Technology, Fraunhofer Research Institution for Individualized Medical Technology and Engineering and the University of Rostock.
In the scope of this project, CDMA will work on the development of meta data schemas, as well as their ontology-based implementation in electronic laboratory notebooks like herbie or eLabFTW. Furthermore, CDMA will improve the user experience around the creation of ontology-based meta data schemas by developing and providing various graphical user interfaces. Also CDMA will work on an automatic log-file parser to extract valuable information directly from the data logged by the accelerators at DESY during experiments and measurements. This information gets stored under FAIR-principles so that the data can be easily searched, accessed and processed in later experiments.
Project management: Prof. Dr. Berit Zeller-Plumhoff
Project members: Jan-Hendrik Fabricius
External cooperation partners: Catriona Eschke und Fabian Kirchner, Institut für Metallische Biomaterialien, Helmholtz-Zentrum Hereon
DesignAssist Teilprojekt
Laufzeit: 01.03.2026 - 28.02.2029
DesignAssist is a collaborative project led by FRIENDSHIP SYSTEMS AG aimed at developing AI-based systems for the design of new ships and retrofits. In this project, the CDMA Chair at the University of Rostock will develop AI-supported methods for automated ship hull generation and accelerated hydrodynamic evaluation. Image-based deep learning methods will be used for this purpose and integrated into a common optimization framework.
Project Lead: Prof. Dr. Berit Zeller-Plumhoff
Project Member(s): Ninad Mavani
Project Partners: Chair of Ship Design (Uni Rostock), Atlantec Enterprise Solutions, naValue GmbH, Ampereship GmbH, FRIENDSHIP SYSTEMS AG
INNO-COMP NH3 Shipping - Subproject: Deep Learning prediction of damage progression and lifetime of motor components
Project duration: 01.04.2026 - 31.03.2029
The association Inno-Comp NH3 Shipping develops innovative components and concepts for the operation of ship motors using NH3. The project is coordinated by the Department of Piston Machines and Internal Combustion Engines of the University of Rostock. CDMA will perform automated image processing for the assessment of material damage and develop a model to predict the damage progress and lifetime of motor components.
Subproject lead: Prof. Dr. Berit Zeller-Plumhoff
Project members: Maik Hylinski
Project partners: Department of Piston Machines and Internal Combustion Engines, Chair of Materials Science, Chair of analytical chemistry and environmental chemistry, Chair of Joining Technology, Fraunhofer Institute for Large Structures in Production Engineering (IGP), Leibniz Institute for Plasma Science and Technology, Leibniz Institute for Catalysis





