Hardware safety testing by two technology and strategy engineers

Images

Images, Modeling, Learning, Geometry and Statistics
Université de Strasbourg

The team's research themes focus on the modeling and processing of images, and more broadly of data from varied and often heterogeneous sources: multimodal, multisensory, multi and hyperspectral, spatialized, temporal data, etc. Our upstream approaches cover mathematical morphology and discrete geometry, statistical approaches and learning methods. Our work is applied in biological and medical imaging.

Our contact :  
Caroline ESSERT

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Technology & Strategy supports women in engineering and industry
1/5/26

Women in Industry: How T&S drives women’s leadership in the industrial sector

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Strategies to strengthen Embedded Linux security and reduce cyber risks
24/4/26

Embedded Linux Security: best practices for system hardening

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T&S-finops
17/4/26

Observability, finops and the future of Devops: managing performance and complexity

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