Introduction and Research Topics
The ASI Department at IRIMAS serves as the University of Haute-Alsace’s (UHA) leading center for research in control systems, signal and image processing, instrumentation, and mechanics. With a staff of around thirty permanent employees (faculty members and engineers), it combines fundamental research with practical applications to address major technological and societal challenges.
The department is organized into two complementary teams, based in the heart of Mulhouse’s technology hubs:
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The IMTIS team: Specializing in multimodal instrumentation and image and signal processing (based at the Mulhouse University Institute of Technology).
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The MIAM team: Experts in modeling, automatic identification, and mechanics (based at ENSISA).
Two major research areas
Les activités de recherche s’articulent autour de deux grands projets fédérateurs :
TAM-TAM (Transportation, Autonomy, Mobility): This research area focuses on developing low-environmental-impact mobility solutions. Researchers here design mobile robotics solutions, embedded systems for the automotive and aerospace industries, as well as devices to support independence (disabilities, e-health).
PHYSICA (Physics, Signal, Image): This project focuses on advanced instrumentation (3D cameras, multispectral imaging) and signal processing. Its applications are wide-ranging: from cutting-edge microscopy for biology to non-destructive testing for industry, and smart energy management (smart grids).
A strategic partner for the industry
The ASI department is distinguished by a strong culture of technology transfer. Thanks to fruitful collaborations ranging from local small businesses to multinational corporations, the researchers’ work finds direct applications in Industry 4.0, connected health, and smart transportation.
Inscrit dans une dynamique interdisciplinaire, ASI collabore étroitement avec les autres départements de l’IRIMAS (notamment en Informatique) et de nombreux laboratoires nationaux et internationaux pour développer les systèmes intelligents de demain.
The Teams
L’équipe IMTIS développe des recherches fondamentales, mais aussi appliquées, allant jusqu’au transfert de technologie, en traitement du signal, traitement d’image, et instrumentation.
The MIAM team brings together automation engineers as well as mechanical engineers to overcome scientific challenges and develop new methodologies and tools that meet the needs of the automotive and aerospace industries.
Research Activities
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29th International Conference on Information Fusion
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Reliability-Aware Fusion for Semantic Segmentation under Sensor Degradation and Failures (2026) Conference paper2026 IEEE Intelligent Vehicles Symposium (IV)
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Diffuse and specular component separation using multispectral and polarization images (2026) ArticleSignal, Image and Video Processing
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Journal of Network and Systems Management
Time-frequency analysis of pathological lung sounds: detection and quantification of abnormal sounds in patients with cystic fibrosis, pulmonary fibrosis, or COPD.
Holographic 3D Maps for Silicone Detection in Living Cells and Tissues 3DHOLOCELL
Fibers as Optical Resolution Test-patterns for Unlabeled Nanoscopy Assessment FORTUNA
Research and Doctoral studies
Textures physiques réalistes par assemblages super-résolu d’images multi points de vue
Julien Bianchetti
Directeur(s) de thèse : Christophe Cudel, Frédéric Cordier and Sophie Kohler, Yvan Maillot
Caractérisation et détection de défauts de surface par BRDF et 3D Gaussian Splatting (3DGS)
Salem Ait Messaoud
Directeur(s) de thèse : Christophe Cudel and Stéphane Bazeille, Sophie Kohler
Contact the department
Department Head
Pr Christophe CUDEL
- Nous écrire
- Téléphone
IMTIS Team
Pr Djaffar OULD ABDESLAM
- Nous écrire
- Téléphone
- IUT Mulhouse, Building G, 1st floor, 61 rue Albert Camus, 68093 Mulhouse
MIAM Team
Pr Michel BASSET
- Nous écrire
- Téléphone
- ENSISA, 12 rue des Frères Lumières, 68093 Mulhouse
From the Mulhouse train station:
University of Technology :
- Take Line 20 to the Bel-Air stop,
- then a 5-minute walk.
ENSISA :
- Take bus line 31 or 51 to the University stop, or bus line 21 to the Lumière stop at the top of the campus.
From the Mulhouse train station:
University of Technology :
- Take Tram Line 1 to the Porte Jeune stop,
- then take Tram Line 2 to the Bel-Air stop,
- then a 5-minute walk.
ENSISA :
- Take Tram Line 1 to the Porte Jeune stop,
- then take Tram Line 2 to the Université stop,
- then a 5-minute walk.
Depuis l’autoroute A36 :
University of Technology :
- take Exit 16a,
- Take the D68 toward “Coteaux”; the University of Technology is a 5-minute drive away.
ENSISA :
- take Exit 16a,
- Take the D68 toward “Centre”; the campus is a 5-minute drive away.