Data-driven Analysis and Design of Materials
Welcome to the chair for Data-driven Analysis and Design of Materials at the Faculty of Mechanical Engineering and Marine Technologies at the University of Rostock.
Our research includes the analysis of materials' morphologies and structures using high-resolution X-ray techniques. To this end, we develop automated workflows for image processing based in part on deep learning approaches. Additionally, we develop models for predicting material behavior. Our research is focused on biomaterials, and we are highly interested in applying our methodologies to other material classes and research questions.
News
It's L̶o̶n̶d̶o̶n̶ Durham baby ! The Computer Vision Summer School 2026
From July 13–17, Bianca attended the 29th BMVA Computer Vision Summer School (CVSS) at Durham University, joining PhD students and researchers from around the world for a week of inspiring lectures, discussions, and hands-on learning. The programme covered key areas of modern computer vision, including 3D vision, multimodal learning, video understanding, self-supervised learning, robotics, and visual representation learning with experienced and recognised speakers from the field. Besides discovering new research directions and exchange ideas, Bianca could also engage with the community and made a special friend during the week: Alan 🤖 !
First BlueMat Retreat
Inspiring discussions and valuable exchanges at the BlueMat Retreat in Schneverdingen: from June 29 – July 1, Berit, Dinah, Fabian, Malte, and Wiebke attended the first meeting of all researchers in the Cluster of Excellence "BlueMat: Water-Driven Materials". The overall goal of the cluster is to develop sustainable and interactive material systems deriving their functionality from their interaction with water. Berit is leading the Cross Area Imaging in BlueMat as part of her position at Helmholtz-Zentrum Hereon. She presented the current vision of the CA Imaging team and the unique imaging capabilities available at the partner institutions. As PhD students Dinah, Fabian, Malte, and Wiebke presented and discussed their individual research projects with their peers. Overall, it was a great opportunity to get to know each other and establish new connections.
Additive Manufacturing Meets Medicine 2026 in Lübeck
On June 17th, Wiebke joined the 8th Additive Manufacturing Meets Medicine conference in Lübeck at the Fraunhofer IMTE. She presented her research from a collaboration with Henrike Rebl and Susanne Stählke from the University Medical Center regarding the automated analysis of cell motility and morphology on biomaterial surfaces. Her talk was part of a focus session featuring researchers from ELAINE, a highly interdisciplinary collaborative research center on electrically active implants at the University of Rostock.
Project CMART Kicks Off at DESY in Hamburg
The CMART project partners gathered for a kickoff meeting at the Deutsches Elektronen-Synchrotron (DESY) research centre in Hamburg, marking the official start of the collaboration.During the meeting, each partner presented a brief overview of their current work, expectations, and planned contributions to the project. This was followed by a focused discussion on initial steps for team integration and the development of a shared roadmap outlining the key tasks needed to reach upcoming milestones.A central theme throughout the session was the importance of interdisciplinary collaboration. Partners identified which teams need to exchange knowledge and how workstreams and results can be aligned across the consortium. The discussions helped establish a common understanding of the project’s next steps and enabled the team to agree on a shared workflow—setting a solid foundation for efficient and coordinated progress.
5th Materials Science Colloquium
From April 13–17, Berit attended the 5th Materials Science Colloquium of Montanuniversität Leoben in Lech am Arlberg. Under the highlight topic "Artificial Intelligence (AI) in Materials Science," Berit gave a talk on "Utilizing deep learning to study and predict the behaviour of biodegradable magnesium-based implants ex vivo," presenting the latest work on digital volume correlation and virtual staining with deep learning.

















