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 ist ein Kooperationsprojekt unter Leitung der FRIENDSHIP SYSTEMS AG zur Entwicklung KI-gestützter Systeme für den Entwurf von Schiffsneubauten und -retrofits. Im Projekt wird der Lehrstuhl CDMA der Universität Rostock KI-gestützte Verfahren zur automatisierten Schiffsrumpf-Generierung und beschleunigten hydrodynamischen Bewertung entwickeln. Hierfür werden Bildgestützte Deep Learning Methoden genutzt werden und in einem gemeinsamen Optimierungsframework verknüpft. 

Projektleitung: Prof. Dr. Berit Zeller-Plumhoff

Projektmitarbeitende: Ninad Mavani

Projektpartner: Lehrstuhl für Schiffbau, Atlantec Enterprise Solutions, naValue GmbH, Ampereship GmbH, FRIENDSHIP SYSTEMS AG

InnoComp LEI NH3 - Subproject: Deep Learning prediction of damage progression and motorcomponent lifetime

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