IMS Bordeaux

The « Agence de l’innovation de défense » (AID – for Defense Innovation Agency), created on September 1st, 2018, is an organization of the French Ministry of Armed Forces. It brings together the ministry’s innovation initiatives...

This thesis explores the integration of attention mechanisms to enhance image matching, a fundamental task in computer vision. The analysis of different matching paradigms led to the design of the innovative SAM and BEAMER architectures, incorporating...

Automotive radars are a key sensor in modern and future cars by contributing to life-saving driving assistance functions. This PhD studies the feasibility of automotive radar receivers at an operating frequency of 140 GHz. Millimeter wave design tools...

The presence of moisture is particularly critical for microelectronic applications, leading to overall performance degradation, metal corrosion within the integrated circuit, and even delamination between different layers. To protect the chips from environmental...

The IMS laboratory will meet industry players on Monday December 2 in order for them to visit its technical platforms as part of the « Semaine de l’innovation » (innovation week). This visit, open to entreprises, is aiming at introducing them to the...

For competitive positioning, manufacturing companies are leveraging two key paradigms: Lean for organizational efficiency in production and Industry 4.0 (I4.0) for technological transformation. The objective of this thesis is to explore potential synergies...

This thesis addresses the development of GaN (Gallium Nitride) technology, which is crucial for the European Union’s radar and telecommunication sectors, especially for high-frequency applications like 5G and military systems. The research focuses...

The high cost of software maintenance requires a focus on software maintainability. Although it emerges from the structure of the source code, its evaluation is subjective, as it depends on developers and the context.Current maintainability models tend...

This thesis develops a Digital Twin (DT) engineering approach inspired by systems theory to facilitate the management of complex systems in an increasingly interconnected world. The DT stands out for its ability to combine data-driven and model-based...

Learning-capable edge artificial intelligence (AI) systems require both inference and learning capabilities combined with energy efficiency.  No current memory technology fully meets these needs. Memristor arrays are well-suited for AI inference but...